Search (191 results, page 1 of 10)

  • × theme_ss:"Semantisches Umfeld in Indexierung u. Retrieval"
  • × language_ss:"e"
  1. Looking for information : a survey on research on information seeking, needs, and behavior (2016) 0.04
    0.039924767 = product of:
      0.14971787 = sum of:
        0.07369448 = weight(_text_:allgemeines in 3803) [ClassicSimilarity], result of:
          0.07369448 = score(doc=3803,freq=4.0), product of:
            0.16533206 = queryWeight, product of:
              5.705423 = idf(docFreq=399, maxDocs=44218)
              0.028978055 = queryNorm
            0.44573617 = fieldWeight in 3803, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              5.705423 = idf(docFreq=399, maxDocs=44218)
              0.0390625 = fieldNorm(doc=3803)
        0.022492902 = product of:
          0.044985805 = sum of:
            0.044985805 = weight(_text_:bibliothekswesen in 3803) [ClassicSimilarity], result of:
              0.044985805 = score(doc=3803,freq=4.0), product of:
                0.12917466 = queryWeight, product of:
                  4.457672 = idf(docFreq=1392, maxDocs=44218)
                  0.028978055 = queryNorm
                0.34825563 = fieldWeight in 3803, product of:
                  2.0 = tf(freq=4.0), with freq of:
                    4.0 = termFreq=4.0
                  4.457672 = idf(docFreq=1392, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=3803)
          0.5 = coord(1/2)
        0.044985805 = weight(_text_:bibliothekswesen in 3803) [ClassicSimilarity], result of:
          0.044985805 = score(doc=3803,freq=4.0), product of:
            0.12917466 = queryWeight, product of:
              4.457672 = idf(docFreq=1392, maxDocs=44218)
              0.028978055 = queryNorm
            0.34825563 = fieldWeight in 3803, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              4.457672 = idf(docFreq=1392, maxDocs=44218)
              0.0390625 = fieldNorm(doc=3803)
        0.008544678 = product of:
          0.017089356 = sum of:
            0.017089356 = weight(_text_:information in 3803) [ClassicSimilarity], result of:
              0.017089356 = score(doc=3803,freq=24.0), product of:
                0.050870337 = queryWeight, product of:
                  1.7554779 = idf(docFreq=20772, maxDocs=44218)
                  0.028978055 = queryNorm
                0.3359395 = fieldWeight in 3803, product of:
                  4.8989797 = tf(freq=24.0), with freq of:
                    24.0 = termFreq=24.0
                  1.7554779 = idf(docFreq=20772, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=3803)
          0.5 = coord(1/2)
      0.26666668 = coord(4/15)
    
    Abstract
    The 4th edition of this popular and well-cited text is now co-authored, and includes significant changes from earlier texts. Presenting a comprehensive review of over a century of research on information behavior (IB), this book is intended for students in information studies and disciplines interested in research on information activities. The initial two chapters introduce IB as a multi-disciplinary topic, the 3rd provides a brief history of research on information seeking. Chapter four discusses what is meant by the terms "information" and "knowledge. "Chapter five discusses "information needs," and how they are addressed. The 6th chapter identifies many related concepts. Twelve models of information behavior (expanded from earlier editions) are illustrated in chapter seven. Chapter eight reviews various paradigms and theories informing IB research. Chapter nine examines research methods invoked in IB studies and a discussion of qualitative and mixed approaches. The 10th chapter gives examples of IB studies by context. The final chapter looks at strengths and weaknesses, recent trends, and future development.
    BK
    06.30 (Bibliothekswesen / Dokumentationswesen: Allgemeines)
    Classification
    06.30 (Bibliothekswesen / Dokumentationswesen: Allgemeines)
    RSWK
    Information Retrieval
    Series
    Studies in information
    Subject
    Information Retrieval
  2. Ingwersen, P.; Järvelin, K.: ¬The turn : integration of information seeking and retrieval in context (2005) 0.03
    0.025448434 = product of:
      0.095431626 = sum of:
        0.034604497 = weight(_text_:buch in 1323) [ClassicSimilarity], result of:
          0.034604497 = score(doc=1323,freq=8.0), product of:
            0.13472971 = queryWeight, product of:
              4.64937 = idf(docFreq=1149, maxDocs=44218)
              0.028978055 = queryNorm
            0.25684384 = fieldWeight in 1323, product of:
              2.828427 = tf(freq=8.0), with freq of:
                8.0 = termFreq=8.0
              4.64937 = idf(docFreq=1149, maxDocs=44218)
              0.01953125 = fieldNorm(doc=1323)
        0.01885652 = weight(_text_:und in 1323) [ClassicSimilarity], result of:
          0.01885652 = score(doc=1323,freq=46.0), product of:
            0.06422601 = queryWeight, product of:
              2.216367 = idf(docFreq=13101, maxDocs=44218)
              0.028978055 = queryNorm
            0.29359633 = fieldWeight in 1323, product of:
              6.78233 = tf(freq=46.0), with freq of:
                46.0 = termFreq=46.0
              2.216367 = idf(docFreq=13101, maxDocs=44218)
              0.01953125 = fieldNorm(doc=1323)
        0.03631884 = weight(_text_:informationswissenschaft in 1323) [ClassicSimilarity], result of:
          0.03631884 = score(doc=1323,freq=10.0), product of:
            0.13053758 = queryWeight, product of:
              4.504705 = idf(docFreq=1328, maxDocs=44218)
              0.028978055 = queryNorm
            0.27822515 = fieldWeight in 1323, product of:
              3.1622777 = tf(freq=10.0), with freq of:
                10.0 = termFreq=10.0
              4.504705 = idf(docFreq=1328, maxDocs=44218)
              0.01953125 = fieldNorm(doc=1323)
        0.005651772 = product of:
          0.011303544 = sum of:
            0.011303544 = weight(_text_:information in 1323) [ClassicSimilarity], result of:
              0.011303544 = score(doc=1323,freq=42.0), product of:
                0.050870337 = queryWeight, product of:
                  1.7554779 = idf(docFreq=20772, maxDocs=44218)
                  0.028978055 = queryNorm
                0.22220306 = fieldWeight in 1323, product of:
                  6.4807405 = tf(freq=42.0), with freq of:
                    42.0 = termFreq=42.0
                  1.7554779 = idf(docFreq=20772, maxDocs=44218)
                  0.01953125 = fieldNorm(doc=1323)
          0.5 = coord(1/2)
      0.26666668 = coord(4/15)
    
    Abstract
    The Turn analyzes the research of information seeking and retrieval (IS&R) and proposes a new direction of integrating research in these two areas: the fields should turn off their separate and narrow paths and construct a new avenue of research. An essential direction for this avenue is context as given in the subtitle Integration of Information Seeking and Retrieval in Context. Other essential themes in the book include: IS&R research models, frameworks and theories; search and works tasks and situations in context; interaction between humans and machines; information acquisition, relevance and information use; research design and methodology based on a structured set of explicit variables - all set into the holistic cognitive approach. The present monograph invites the reader into a construction project - there is much research to do for a contextual understanding of IS&R. The Turn represents a wide-ranging perspective of IS&R by providing a novel unique research framework, covering both individual and social aspects of information behavior, including the generation, searching, retrieval and use of information. Regarding traditional laboratory information retrieval research, the monograph proposes the extension of research toward actors, search and work tasks, IR interaction and utility of information. Regarding traditional information seeking research, it proposes the extension toward information access technology and work task contexts. The Turn is the first synthesis of research in the broad area of IS&R ranging from systems oriented laboratory IR research to social science oriented information seeking studies. TOC:Introduction.- The Cognitive Framework for Information.- The Development of Information Seeking Research.- Systems-Oriented Information Retrieval.- Cognitive and User-Oriented Information Retrieval.- The Integrated IS&R Research Framework.- Implications of the Cognitive Framework for IS&R.- Towards a Research Program.- Conclusion.- Definitions.- References.- Index.
    Field
    Informationswissenschaft
    Footnote
    Rez. in: Mitt. VÖB 59(2006) H.2, S.81-83 (O. Oberhauser): "Mit diesem Band haben zwei herausragende Vertreter der europäischen Informationswissenschaft, die Professoren Peter Ingwersen (Kopenhagen) und Kalervo Järvelin (Tampere) ein Werk vorgelegt, das man vielleicht dereinst als ihr opus magnum bezeichnen wird. Mich würde dies nicht überraschen, denn die Autoren unternehmen hier den ambitionierten Versuch, zwei informations wissenschaftliche Forschungstraditionen, die einander bisher in eher geringem Ausmass begegneten, unter einem gesamtheitlichen kognitiven Ansatz zu vereinen - das primär im sozialwissenschaftlichen Bereich verankerte Forschungsgebiet "Information Seeking and Retrieval" (IS&R) und das vorwiegend im Informatikbereich angesiedelte "Information Retrieval" (IR). Dabei geht es ihnen auch darum, den seit etlichen Jahren zwar dominierenden, aber auch als zu individualistisch kritisierten kognitiven Ansatz so zu erweitern, dass technologische, verhaltensbezogene und kooperative Aspekte in kohärenter Weise berücksichtigt werden. Dies geschieht auf folgende Weise in neun Kapiteln: - Zunächst werden die beiden "Lager" - die an Systemen und Laborexperimenten orientierte IR-Tradition und die an Benutzerfragen orientierte IS&R-Fraktion - einander gegenübergestellt und einige zentrale Begriffe geklärt. - Im zweiten Kapitel erfolgt eine ausführliche Darstellung der kognitiven Richtung der Informationswissenschaft, insbesondere hinsichtlich des Informationsbegriffes. - Daran schliesst sich ein Überblick über die bisherige Forschung zu "Information Seeking" (IS) - eine äusserst brauchbare Einführung in die Forschungsfragen und Modelle, die Forschungsmethodik sowie die in diesem Bereich offenen Fragen, z.B. die aufgrund der einseitigen Ausrichtung des Blickwinkels auf den Benutzer mangelnde Betrachtung der Benutzer-System-Interaktion. - In analoger Weise wird im vierten Kapitel die systemorientierte IRForschung in einem konzentrierten Überblick vorgestellt, in dem es sowohl um das "Labormodell" als auch Ansätze wie die Verarbeitung natürlicher Sprache und Expertensysteme geht. Aspekte wie Relevanz, Anfragemodifikation und Performanzmessung werden ebenso angesprochen wie die Methodik - von den ersten Laborexperimenten bis zu TREC und darüber hinaus.
    - Kapitel fünf enthält einen entsprechenden Überblick über die kognitive und benutzerorientierte IR-Tradition. Es zeigt, welche anderen (als nur die labororientierten) IR-Studien durchgeführt werden können, wobei sich die Betrachtung von frühen Modellen (z.B. Taylor) über Belkins ASK-Konzept bis zu Ingwersens Modell der Polyrepräsentation, und von Bates Berrypicking-Ansatz bis zu Vakkaris "taskbased" IR-Modell erstreckt. Auch Web-IR, OKAPI und Diskussionen zum Relevanzbegriff werden hier thematisiert. - Im folgenden Kapitel schlagen die Autoren ein integriertes IS&R Forschungsmodell vor, bei dem die vielfältigen Beziehungen zwischen Informationssuchenden, Systementwicklern, Oberflächen und anderen beteiligten Aspekten berücksichtigt werden. Ihr Ansatz vereint die traditionelle Laborforschung mit verschiedenen benutzerorientierten Traditionen aus IS&R, insbesondere mit den empirischen Ansätzen zu IS und zum interaktiven IR, in einem holistischen kognitiven Modell. - Kapitel sieben untersucht die Implikationen dieses Modells für IS&R, wobei besonders ins Auge fällt, wie komplex die Anfragen von Informationssuchenden im Vergleich mit der relativen Einfachheit der Algorithmen zum Auffinden relevanter Dokumente sind. Die Abbildung der vielfältig variierenden kognitiven Zustände der Anfragesteller im Rahmen der der Systementwicklung ist sicherlich keine triviale Aufgabe. Wie dabei das Problem der Einbeziehung des zentralen Aspektes der Bedeutung gelöst werden kann, sei dahingestellt. - Im achten Kapitel wird der Versuch unternommen, die zuvor diskutierten Punkte in ein IS&R-Forschungsprogramm (Prozesse - Verhalten - Systemfunktionalität - Performanz) umzusetzen, wobei auch einige kritische Anmerkungen zur bisherigen Forschungspraxis getroffen werden. - Das abschliessende neunte Kapitel fasst das Buch kurz zusammen und kann somit auch als Einstieg in dieThematik gelesen werden. Darauffolgen noch ein sehr nützliches Glossar zu allen wichtigen Begriffen, die in dem Buch Verwendung finden, eine Bibliographie und ein Sachregister. Ingwersen und Järvelin haben hier ein sehr anspruchsvolles und dennoch lesbares Buch vorgelegt. Die gebotenen Übersichtskapitel und Diskussionen sind zwar keine Einführung in die Informationswissenschaft, decken aber einen grossen Teil der heute in dieser Disziplin aktuellen und durch laufende Forschungsaktivitäten und Publikationen berührten Teilbereiche ab. Man könnte es auch - vielleicht ein wenig überspitzt - so formulieren: Was hier thematisiert wird, ist eigentlich die moderne Informationswissenschaft. Der Versuch, die beiden Forschungstraditionen zu vereinen, wird diesem Werk sicherlich einen Platz in der Geschichte der Disziplin sichern. Nicht ganz glücklich erscheint der Titel des Buches. "The Turn" soll eine Wende bedeuten, nämlich jene hin zu einer integrierten Sicht von IS und IR. Das geht vermutlich aus dem Untertitel besser hervor, doch dieser erschien den Autoren wohl zu trocken. Schade, denn "The Turn" gibt es z.B. in unserem Verbundkatalog bereits, allerdings mit dem Zusatz "from the Cold War to a new era; the United States and the Soviet Union 1983-1990". Der Verlag, der abgesehen davon ein gediegenes (wenn auch nicht gerade wohlfeiles) Produkt vorgelegt hat, hätte derlei unscharfe Duplizierend besser verhindert. Ungeachtet dessen empfehle ich dieses wichtige Buch ohne Vorbehalt zur Anschaffung; es sollte in keiner grösseren Bibliothek fehlen."
    Series
    The Kluwer international series on information retrieval ; 18
    Theme
    Information
  3. Context: nature, impact, and role : 5th International Conference on Conceptions of Library and Information Science, CoLIS 2005, Glasgow 2005; Proceedings (2005) 0.02
    0.022087412 = product of:
      0.08282779 = sum of:
        0.029968375 = weight(_text_:buch in 42) [ClassicSimilarity], result of:
          0.029968375 = score(doc=42,freq=6.0), product of:
            0.13472971 = queryWeight, product of:
              4.64937 = idf(docFreq=1149, maxDocs=44218)
              0.028978055 = queryNorm
            0.2224333 = fieldWeight in 42, product of:
              2.4494898 = tf(freq=6.0), with freq of:
                6.0 = termFreq=6.0
              4.64937 = idf(docFreq=1149, maxDocs=44218)
              0.01953125 = fieldNorm(doc=42)
        0.024237592 = weight(_text_:und in 42) [ClassicSimilarity], result of:
          0.024237592 = score(doc=42,freq=76.0), product of:
            0.06422601 = queryWeight, product of:
              2.216367 = idf(docFreq=13101, maxDocs=44218)
              0.028978055 = queryNorm
            0.3773797 = fieldWeight in 42, product of:
              8.717798 = tf(freq=76.0), with freq of:
                76.0 = termFreq=76.0
              2.216367 = idf(docFreq=13101, maxDocs=44218)
              0.01953125 = fieldNorm(doc=42)
        0.02297005 = weight(_text_:informationswissenschaft in 42) [ClassicSimilarity], result of:
          0.02297005 = score(doc=42,freq=4.0), product of:
            0.13053758 = queryWeight, product of:
              4.504705 = idf(docFreq=1328, maxDocs=44218)
              0.028978055 = queryNorm
            0.17596504 = fieldWeight in 42, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              4.504705 = idf(docFreq=1328, maxDocs=44218)
              0.01953125 = fieldNorm(doc=42)
        0.005651772 = product of:
          0.011303544 = sum of:
            0.011303544 = weight(_text_:information in 42) [ClassicSimilarity], result of:
              0.011303544 = score(doc=42,freq=42.0), product of:
                0.050870337 = queryWeight, product of:
                  1.7554779 = idf(docFreq=20772, maxDocs=44218)
                  0.028978055 = queryNorm
                0.22220306 = fieldWeight in 42, product of:
                  6.4807405 = tf(freq=42.0), with freq of:
                    42.0 = termFreq=42.0
                  1.7554779 = idf(docFreq=20772, maxDocs=44218)
                  0.01953125 = fieldNorm(doc=42)
          0.5 = coord(1/2)
      0.26666668 = coord(4/15)
    
    Classification
    SS 4800 [Informatik # Enzyklopädien und Handbücher. Kongreßberichte Schriftenreihe. Tafeln und Formelsammlungen # Schriftenreihen (indiv. Sign.) # Lecture notes in computer science]
    Content
    Das Buch ist in die Abschnitte Invited Papers (1 Beitrag, 1 Abstract), Representing Context (3 Beiträge), Context and Relevance in Information Seeking (3), Context and Information (3), Contextualised Information Seeking (3), Agendas for Context (3), Context and Documents (2) und Workshops (2 Ankündigungstexte) gegliedert und enthält ein simples Autoren-, jedoch kein Sachregister. Die Autoren der Beiträge stammen mit einigen Ausnahmen (Italien, Frankreich, Russland) aus den angelsächsischen und skandinavischen Ländern.
    Footnote
    Rez. in: Mitt. VÖB 59(2006) H.3, S.100-103 (O. Oberhauser): "Dieses als Band 3507 der bekannten, seit 1973 erscheinenden Springer-Serie Lecture Notes in Computer Science (LNCS) publizierte Buch versammelt die Vorträge der 5. Tagung "Conceptions of Library and Information Science". CoLIS hat sich in den letzten anderthalb Jahrzehnten als internationales Forum für die Präsentation und Rezeption von Forschung auf den Fachgebieten Informatik und Informationswissenschaft etabliert. Auf die 1992 in Tampere (Finnland) anlässlich des damals 20jährigen Bestehens des dortigen Instituts für Informationswissenschaft abgehaltene erste Tagung folgten weitere in Kopenhagen (1996), Dubrovnik (1999) und Seattle, WA (2002). Die zuletzt an der Strathclyde University in Glasgow (2005) veranstaltete Konferenz war dem Thema "Context" im Rahmen der informationsbezogenen Forschung gewidmet, einem komplexen, dynamischen und multidimensionalen Begriff von grosser Bedeutung für das Verhalten und die Interaktion von Mensch und Maschine. . . .
    Am interessantesten und wichtigsten erschien mir der Grundsatzartikel von Peter Ingwersen und Kalervo Järvelin (Kopenhagen/Tampere), The sense of information: Understanding the cognitive conditional information concept in relation to information acquisition (S. 7-19). Hier versuchen die Autoren, den ursprünglich von Ingwersen1 vorgeschlagenen und damals ausschliesslich im Zusammenhang mit dem interaktiven Information Retrieval verwendeten Begriff "conditional cognitive information" anhand eines erweiterten Modells nicht nur auf das Gesamtgebiet von "information seeking and retrieval" (IS&R) auszuweiten, sondern auch auf den menschlichen Informationserwerb aus der Sinneswahrnehmung, wie z.B. im Alltag oder im Rahmen der wissenschaftlichen Erkenntnistätigkeit. Dabei werden auch alternative Informationsbegriffe sowie die Beziehung von Information und Bedeutung diskutiert. Einen ebenfalls auf Ingwersen zurückgehenden Ansatz thematisiert der Beitrag von Birger Larsen (Kopenhagen), indem er sich mit dessen vor über 10 Jahren veröffentlichten2 Principle of Polyrepresentation befasst. Dieses beruht auf der Hypothese, wonach die Überlappung zwischen unterschiedlichen kognitiven Repräsentationen - nämlich jenen der Situation des Informationssuchenden und der Dokumente - zur Reduktion der einer Retrievalsituation anhaftenden Unsicherheit und damit zur Verbesserung der Performance des IR-Systems genutzt werden könne. Das Prinzip stellt die Dokumente, ihre Autoren und Indexierer, aber auch die sie zugänglich machende IT-Lösung in einen umfassenden und kohärenten theoretischen Bezugsrahmen, der die benutzerorientierte Forschungsrichtung "Information-Seeking" mit der systemorientierten IR-Forschung zu integrieren trachtet. Auf der Basis theoretischer Überlegungen sowie der (wenigen) dazu vorliegenden empirischen Studien hält Larsen das Model, das von Ingwersen sowohl für "exact match-IR" als auch für "best match-IR" intendiert war, allerdings schon in seinen Grundzügen für "Boolean" (d.h. "exact match"-orientiert) und schlägt ein "polyrepresentation continuum" als Verbesserungsmöglichkeit vor.
    Mehrere Beiträge befassen sich mit dem Problem der Relevanz. Erica Cosijn und Theo Bothma (Pretoria) argumentieren, dass für das Benutzerverhalten neben der thematischen Relevanz auch verschiedene andere Relevanzdimensionen eine Rolle spielen und schlagen auf der Basis eines (abermals auf Ingwersen zurückgehenden) erweiterten Relevanzmodells vor, dass IR-Systeme die Möglichkeit zur Abgabe auch kognitiver, situativer und sozio-kognitiver Relevanzurteile bieten sollten. Elaine Toms et al. (Kanada) berichten von einer Studie, in der versucht wurde, die schon vor 30 Jahren von Tefko Saracevic3 erstellten fünf Relevanzdimensionen (kognitiv, motivational, situativ, thematisch und algorithmisch) zu operationalisieren und anhand von Recherchen mit einer Web-Suchmaschine zu untersuchen. Die Ergebnisse zeigten, dass sich diese fünf Dimensionen in drei Typen vereinen lassen, die Benutzer, System und Aufgabe repräsentieren. Von einer völlig anderen Seite nähern sich Olof Sundin und Jenny Johannison (Boras, Schweden) der Relevanzthematik, indem sie einen kommunikationsorientierten, neo-pragmatistischen Ansatz (nach Richard Rorty) wählen, um Informationssuche und Relevanz zu analysieren, und dabei auch auf das Werk von Michel Foucault zurückgreifen. Weitere interessante Artikel befassen sich mit Bradford's Law of Scattering (Hjørland & Nicolaisen), Information Sharing and Timing (Widén-Wulff & Davenport), Annotations as Context for Searching Documents (Agosti & Ferro), sowie dem Nutzen von neuen Informationsquellen wie Web Links, Newsgroups und Blogs für die sozial- und informationswissenschaftliche Forschung (Thelwall & Wouters). In Summe liegt hier ein interessantes und anspruchsvolles Buch vor - inhaltlich natürlich nicht gerade einheitlich und geschlossen, doch dies darf man bei einem Konferenzband ohnedies nicht erwarten. Manche der abgedruckten Beiträge sind sicher nicht einfach zu lesen, lohnen aber die Mühe. Auch für Praktiker aus Bibliothek und Information ist einiges dabei, sofern sie sich für die wissenschaftliche Basis ihrer Tätigkeit interessieren. Fachlich einschlägige Spezial- und grössere Allgemeinbibliotheken sollten das Werk daher unbedingt führen.
    Context: Nature, Impact and Role ist ein typischer LNCS-Softcover-Band in sauberem TeX-Design und mutet mit knapp 50 Euro zwar nicht als wohlfeil an, liegt aber angesichts heutiger Buchpreise im Rahmen. Die Zahl der Tippfehler hält sich in Grenzen, ist jedoch gelegentlich peinlich (z.B. wenn man auf S. 2, noch dazu im Fettdruck, "Tractaus" anstelle von "Tractatus" lesen muss). Als Kuriosum am Rande sei erwähnt, dass die einleitend abgedruckte Namensliste des CoLIS-Programmkomitees, immerhin rund 50 Personen, vom Computer fein säuberlich sortiert wurde - dies allerdings nach dem Alphabet der Vornamen der Komiteemitglieder, was offenbar weder den Herausgebern noch dem Verlag aufgefallen ist."
    RSWK
    Information Retrieval / Kontextbezogenes System / Kongress / Glasgow <2005>
    Information-Retrieval-System / Kontextbezogenes System / Kongress / Glasgow <2005>
    Elektronische Bibliothek / Information Retrieval / Relevanz-Feedback / Kontextbezogenes System / Kongress / Glasgow <2005>
    RVK
    SS 4800 [Informatik # Enzyklopädien und Handbücher. Kongreßberichte Schriftenreihe. Tafeln und Formelsammlungen # Schriftenreihen (indiv. Sign.) # Lecture notes in computer science]
    Subject
    Information Retrieval / Kontextbezogenes System / Kongress / Glasgow <2005>
    Information-Retrieval-System / Kontextbezogenes System / Kongress / Glasgow <2005>
    Elektronische Bibliothek / Information Retrieval / Relevanz-Feedback / Kontextbezogenes System / Kongress / Glasgow <2005>
  4. Boyack, K.W.; Wylie,B.N.; Davidson, G.S.: Information Visualization, Human-Computer Interaction, and Cognitive Psychology : Domain Visualizations (2002) 0.00
    0.004359357 = product of:
      0.065390356 = sum of:
        0.065390356 = sum of:
          0.009866543 = weight(_text_:information in 1352) [ClassicSimilarity], result of:
            0.009866543 = score(doc=1352,freq=2.0), product of:
              0.050870337 = queryWeight, product of:
                1.7554779 = idf(docFreq=20772, maxDocs=44218)
                0.028978055 = queryNorm
              0.19395474 = fieldWeight in 1352, product of:
                1.4142135 = tf(freq=2.0), with freq of:
                  2.0 = termFreq=2.0
                1.7554779 = idf(docFreq=20772, maxDocs=44218)
                0.078125 = fieldNorm(doc=1352)
          0.055523813 = weight(_text_:22 in 1352) [ClassicSimilarity], result of:
            0.055523813 = score(doc=1352,freq=4.0), product of:
              0.101476215 = queryWeight, product of:
                3.5018296 = idf(docFreq=3622, maxDocs=44218)
                0.028978055 = queryNorm
              0.54716086 = fieldWeight in 1352, product of:
                2.0 = tf(freq=4.0), with freq of:
                  4.0 = termFreq=4.0
                3.5018296 = idf(docFreq=3622, maxDocs=44218)
                0.078125 = fieldNorm(doc=1352)
      0.06666667 = coord(1/15)
    
    Date
    22. 2.2003 17:25:39
    22. 2.2003 18:17:40
  5. Sacco, G.M.: Dynamic taxonomies and guided searches (2006) 0.00
    0.0033886149 = product of:
      0.05082922 = sum of:
        0.05082922 = sum of:
          0.011962548 = weight(_text_:information in 5295) [ClassicSimilarity], result of:
            0.011962548 = score(doc=5295,freq=6.0), product of:
              0.050870337 = queryWeight, product of:
                1.7554779 = idf(docFreq=20772, maxDocs=44218)
                0.028978055 = queryNorm
              0.23515764 = fieldWeight in 5295, product of:
                2.4494898 = tf(freq=6.0), with freq of:
                  6.0 = termFreq=6.0
                1.7554779 = idf(docFreq=20772, maxDocs=44218)
                0.0546875 = fieldNorm(doc=5295)
          0.038866673 = weight(_text_:22 in 5295) [ClassicSimilarity], result of:
            0.038866673 = score(doc=5295,freq=4.0), product of:
              0.101476215 = queryWeight, product of:
                3.5018296 = idf(docFreq=3622, maxDocs=44218)
                0.028978055 = queryNorm
              0.38301262 = fieldWeight in 5295, product of:
                2.0 = tf(freq=4.0), with freq of:
                  4.0 = termFreq=4.0
                3.5018296 = idf(docFreq=3622, maxDocs=44218)
                0.0546875 = fieldNorm(doc=5295)
      0.06666667 = coord(1/15)
    
    Abstract
    A new search paradigm, in which the primary user activity is the guided exploration of a complex information space rather than the retrieval of items based on precise specifications, is proposed. The author claims that this paradigm is the norm in most practical applications, and that solutions based on traditional search methods are not effective in this context. He then presents a solution based on dynamic taxonomies, a knowledge management model that effectively guides users to reach their goal while giving them total freedom in exploring the information base. Applications, benefits, and current research are discussed.
    Date
    22. 7.2006 17:56:22
    Source
    Journal of the American Society for Information Science and Technology. 57(2006) no.6, S.792-796
  6. Shiri, A.A.; Revie, C.; Chowdhury, G.: Thesaurus-enhanced search interfaces (2002) 0.00
    0.0033057118 = product of:
      0.024792837 = sum of:
        0.018872911 = weight(_text_:und in 3807) [ClassicSimilarity], result of:
          0.018872911 = score(doc=3807,freq=2.0), product of:
            0.06422601 = queryWeight, product of:
              2.216367 = idf(docFreq=13101, maxDocs=44218)
              0.028978055 = queryNorm
            0.29385152 = fieldWeight in 3807, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              2.216367 = idf(docFreq=13101, maxDocs=44218)
              0.09375 = fieldNorm(doc=3807)
        0.005919926 = product of:
          0.011839852 = sum of:
            0.011839852 = weight(_text_:information in 3807) [ClassicSimilarity], result of:
              0.011839852 = score(doc=3807,freq=2.0), product of:
                0.050870337 = queryWeight, product of:
                  1.7554779 = idf(docFreq=20772, maxDocs=44218)
                  0.028978055 = queryNorm
                0.23274569 = fieldWeight in 3807, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  1.7554779 = idf(docFreq=20772, maxDocs=44218)
                  0.09375 = fieldNorm(doc=3807)
          0.5 = coord(1/2)
      0.13333334 = coord(2/15)
    
    Source
    Journal of information science. 28(2002) no.2, S.111-122
    Theme
    Konzeption und Anwendung des Prinzips Thesaurus
  7. Marx, E. et al.: Exploring term networks for semantic search over RDF knowledge graphs (2016) 0.00
    0.0032751875 = product of:
      0.04912781 = sum of:
        0.04912781 = sum of:
          0.009866543 = weight(_text_:information in 3279) [ClassicSimilarity], result of:
            0.009866543 = score(doc=3279,freq=2.0), product of:
              0.050870337 = queryWeight, product of:
                1.7554779 = idf(docFreq=20772, maxDocs=44218)
                0.028978055 = queryNorm
              0.19395474 = fieldWeight in 3279, product of:
                1.4142135 = tf(freq=2.0), with freq of:
                  2.0 = termFreq=2.0
                1.7554779 = idf(docFreq=20772, maxDocs=44218)
                0.078125 = fieldNorm(doc=3279)
          0.039261267 = weight(_text_:22 in 3279) [ClassicSimilarity], result of:
            0.039261267 = score(doc=3279,freq=2.0), product of:
              0.101476215 = queryWeight, product of:
                3.5018296 = idf(docFreq=3622, maxDocs=44218)
                0.028978055 = queryNorm
              0.38690117 = fieldWeight in 3279, product of:
                1.4142135 = tf(freq=2.0), with freq of:
                  2.0 = termFreq=2.0
                3.5018296 = idf(docFreq=3622, maxDocs=44218)
                0.078125 = fieldNorm(doc=3279)
      0.06666667 = coord(1/15)
    
    Series
    Communications in computer and information science; 672
    Source
    Metadata and semantics research: 10th International Conference, MTSR 2016, Göttingen, Germany, November 22-25, 2016, Proceedings. Eds.: E. Garoufallou
  8. Kopácsi, S. et al.: Development of a classification server to support metadata harmonization in a long term preservation system (2016) 0.00
    0.0032751875 = product of:
      0.04912781 = sum of:
        0.04912781 = sum of:
          0.009866543 = weight(_text_:information in 3280) [ClassicSimilarity], result of:
            0.009866543 = score(doc=3280,freq=2.0), product of:
              0.050870337 = queryWeight, product of:
                1.7554779 = idf(docFreq=20772, maxDocs=44218)
                0.028978055 = queryNorm
              0.19395474 = fieldWeight in 3280, product of:
                1.4142135 = tf(freq=2.0), with freq of:
                  2.0 = termFreq=2.0
                1.7554779 = idf(docFreq=20772, maxDocs=44218)
                0.078125 = fieldNorm(doc=3280)
          0.039261267 = weight(_text_:22 in 3280) [ClassicSimilarity], result of:
            0.039261267 = score(doc=3280,freq=2.0), product of:
              0.101476215 = queryWeight, product of:
                3.5018296 = idf(docFreq=3622, maxDocs=44218)
                0.028978055 = queryNorm
              0.38690117 = fieldWeight in 3280, product of:
                1.4142135 = tf(freq=2.0), with freq of:
                  2.0 = termFreq=2.0
                3.5018296 = idf(docFreq=3622, maxDocs=44218)
                0.078125 = fieldNorm(doc=3280)
      0.06666667 = coord(1/15)
    
    Series
    Communications in computer and information science; 672
    Source
    Metadata and semantics research: 10th International Conference, MTSR 2016, Göttingen, Germany, November 22-25, 2016, Proceedings. Eds.: E. Garoufallou
  9. Chang, C.-H.; Hsu, C.-C.: Integrating query expansion and conceptual relevance feedback for personalized Web information retrieval (1998) 0.00
    0.0027530699 = product of:
      0.041296046 = sum of:
        0.041296046 = sum of:
          0.01381316 = weight(_text_:information in 1319) [ClassicSimilarity], result of:
            0.01381316 = score(doc=1319,freq=8.0), product of:
              0.050870337 = queryWeight, product of:
                1.7554779 = idf(docFreq=20772, maxDocs=44218)
                0.028978055 = queryNorm
              0.27153665 = fieldWeight in 1319, product of:
                2.828427 = tf(freq=8.0), with freq of:
                  8.0 = termFreq=8.0
                1.7554779 = idf(docFreq=20772, maxDocs=44218)
                0.0546875 = fieldNorm(doc=1319)
          0.027482886 = weight(_text_:22 in 1319) [ClassicSimilarity], result of:
            0.027482886 = score(doc=1319,freq=2.0), product of:
              0.101476215 = queryWeight, product of:
                3.5018296 = idf(docFreq=3622, maxDocs=44218)
                0.028978055 = queryNorm
              0.2708308 = fieldWeight in 1319, product of:
                1.4142135 = tf(freq=2.0), with freq of:
                  2.0 = termFreq=2.0
                3.5018296 = idf(docFreq=3622, maxDocs=44218)
                0.0546875 = fieldNorm(doc=1319)
      0.06666667 = coord(1/15)
    
    Abstract
    Keyword based querying has been an immediate and efficient way to specify and retrieve related information that the user inquired. However, conventional document ranking based on an automatic assessment of document relevance to the query may not be the best approach when little information is given. Proposes an idea to integrate 2 existing techniques, query expansion and relevance feedback to achieve a concept-based information search for the Web
    Date
    1. 8.1996 22:08:06
  10. Fieldhouse, M.; Hancock-Beaulieu, M.: ¬The design of a graphical user interface for a highly interactive information retrieval system (1996) 0.00
    0.0026296957 = product of:
      0.039445434 = sum of:
        0.039445434 = sum of:
          0.011962548 = weight(_text_:information in 6958) [ClassicSimilarity], result of:
            0.011962548 = score(doc=6958,freq=6.0), product of:
              0.050870337 = queryWeight, product of:
                1.7554779 = idf(docFreq=20772, maxDocs=44218)
                0.028978055 = queryNorm
              0.23515764 = fieldWeight in 6958, product of:
                2.4494898 = tf(freq=6.0), with freq of:
                  6.0 = termFreq=6.0
                1.7554779 = idf(docFreq=20772, maxDocs=44218)
                0.0546875 = fieldNorm(doc=6958)
          0.027482886 = weight(_text_:22 in 6958) [ClassicSimilarity], result of:
            0.027482886 = score(doc=6958,freq=2.0), product of:
              0.101476215 = queryWeight, product of:
                3.5018296 = idf(docFreq=3622, maxDocs=44218)
                0.028978055 = queryNorm
              0.2708308 = fieldWeight in 6958, product of:
                1.4142135 = tf(freq=2.0), with freq of:
                  2.0 = termFreq=2.0
                3.5018296 = idf(docFreq=3622, maxDocs=44218)
                0.0546875 = fieldNorm(doc=6958)
      0.06666667 = coord(1/15)
    
    Source
    Information retrieval: new systems and current research. Proceedings of the 16th Research Colloquium of the British Computer Society Information Retrieval Specialist Group, Drymen, Scotland, 22-23 Mar 94. Ed.: R. Leon
  11. Klas, C.-P.; Fuhr, N.; Schaefer, A.: Evaluating strategic support for information access in the DAFFODIL system (2004) 0.00
    0.0025371704 = product of:
      0.038057555 = sum of:
        0.038057555 = sum of:
          0.014500798 = weight(_text_:information in 2419) [ClassicSimilarity], result of:
            0.014500798 = score(doc=2419,freq=12.0), product of:
              0.050870337 = queryWeight, product of:
                1.7554779 = idf(docFreq=20772, maxDocs=44218)
                0.028978055 = queryNorm
              0.2850541 = fieldWeight in 2419, product of:
                3.4641016 = tf(freq=12.0), with freq of:
                  12.0 = termFreq=12.0
                1.7554779 = idf(docFreq=20772, maxDocs=44218)
                0.046875 = fieldNorm(doc=2419)
          0.023556758 = weight(_text_:22 in 2419) [ClassicSimilarity], result of:
            0.023556758 = score(doc=2419,freq=2.0), product of:
              0.101476215 = queryWeight, product of:
                3.5018296 = idf(docFreq=3622, maxDocs=44218)
                0.028978055 = queryNorm
              0.23214069 = fieldWeight in 2419, product of:
                1.4142135 = tf(freq=2.0), with freq of:
                  2.0 = termFreq=2.0
                3.5018296 = idf(docFreq=3622, maxDocs=44218)
                0.046875 = fieldNorm(doc=2419)
      0.06666667 = coord(1/15)
    
    Abstract
    The digital library system Daffodil is targeted at strategic support of users during the information search process. For searching, exploring and managing digital library objects it provides user-customisable information seeking patterns over a federation of heterogeneous digital libraries. In this paper evaluation results with respect to retrieval effectiveness, efficiency and user satisfaction are presented. The analysis focuses on strategic support for the scientific work-flow. Daffodil supports the whole work-flow, from data source selection over information seeking to the representation, organisation and reuse of information. By embedding high level search functionality into the scientific work-flow, the user experiences better strategic system support due to a more systematic work process. These ideas have been implemented in Daffodil followed by a qualitative evaluation. The evaluation has been conducted with 28 participants, ranging from information seeking novices to experts. The results are promising, as they support the chosen model.
    Date
    16.11.2008 16:22:48
  12. Jarvelin, K.: ¬A deductive data model for thesaurus navigation and query expansion (1996) 0.00
    0.0024217735 = product of:
      0.018163301 = sum of:
        0.012581941 = weight(_text_:und in 5625) [ClassicSimilarity], result of:
          0.012581941 = score(doc=5625,freq=2.0), product of:
            0.06422601 = queryWeight, product of:
              2.216367 = idf(docFreq=13101, maxDocs=44218)
              0.028978055 = queryNorm
            0.19590102 = fieldWeight in 5625, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              2.216367 = idf(docFreq=13101, maxDocs=44218)
              0.0625 = fieldNorm(doc=5625)
        0.0055813594 = product of:
          0.011162719 = sum of:
            0.011162719 = weight(_text_:information in 5625) [ClassicSimilarity], result of:
              0.011162719 = score(doc=5625,freq=4.0), product of:
                0.050870337 = queryWeight, product of:
                  1.7554779 = idf(docFreq=20772, maxDocs=44218)
                  0.028978055 = queryNorm
                0.21943474 = fieldWeight in 5625, product of:
                  2.0 = tf(freq=4.0), with freq of:
                    4.0 = termFreq=4.0
                  1.7554779 = idf(docFreq=20772, maxDocs=44218)
                  0.0625 = fieldNorm(doc=5625)
          0.5 = coord(1/2)
      0.13333334 = coord(2/15)
    
    Abstract
    Describes a deductive data model based on 3 abstraction levels for representing vocabularies for information retrieval: conceptual level; expression level; and occurrence level. The proposed data model can be used for the representation and navigation of indexing and retrieval thesauri and as a vocabulary source for concept based query expansion in heterogeneous retrieval environments
    Series
    Finnish information studies; 5
    Theme
    Konzeption und Anwendung des Prinzips Thesaurus
  13. Song, D.; Bruza, P.D.: Towards context sensitive information inference (2003) 0.00
    0.0023994963 = product of:
      0.035992444 = sum of:
        0.035992444 = sum of:
          0.01636181 = weight(_text_:information in 1428) [ClassicSimilarity], result of:
            0.01636181 = score(doc=1428,freq=22.0), product of:
              0.050870337 = queryWeight, product of:
                1.7554779 = idf(docFreq=20772, maxDocs=44218)
                0.028978055 = queryNorm
              0.32163754 = fieldWeight in 1428, product of:
                4.690416 = tf(freq=22.0), with freq of:
                  22.0 = termFreq=22.0
                1.7554779 = idf(docFreq=20772, maxDocs=44218)
                0.0390625 = fieldNorm(doc=1428)
          0.019630633 = weight(_text_:22 in 1428) [ClassicSimilarity], result of:
            0.019630633 = score(doc=1428,freq=2.0), product of:
              0.101476215 = queryWeight, product of:
                3.5018296 = idf(docFreq=3622, maxDocs=44218)
                0.028978055 = queryNorm
              0.19345059 = fieldWeight in 1428, product of:
                1.4142135 = tf(freq=2.0), with freq of:
                  2.0 = termFreq=2.0
                3.5018296 = idf(docFreq=3622, maxDocs=44218)
                0.0390625 = fieldNorm(doc=1428)
      0.06666667 = coord(1/15)
    
    Abstract
    Humans can make hasty, but generally robust judgements about what a text fragment is, or is not, about. Such judgements are termed information inference. This article furnishes an account of information inference from a psychologistic stance. By drawing an theories from nonclassical logic and applied cognition, an information inference mechanism is proposed that makes inferences via computations of information flow through an approximation of a conceptual space. Within a conceptual space information is represented geometrically. In this article, geometric representations of words are realized as vectors in a high dimensional semantic space, which is automatically constructed from a text corpus. Two approaches were presented for priming vector representations according to context. The first approach uses a concept combination heuristic to adjust the vector representation of a concept in the light of the representation of another concept. The second approach computes a prototypical concept an the basis of exemplar trace texts and moves it in the dimensional space according to the context. Information inference is evaluated by measuring the effectiveness of query models derived by information flow computations. Results show that information flow contributes significantly to query model effectiveness, particularly with respect to precision. Moreover, retrieval effectiveness compares favorably with two probabilistic query models, and another based an semantic association. More generally, this article can be seen as a contribution towards realizing operational systems that mimic text-based human reasoning.
    Date
    22. 3.2003 19:35:46
    Footnote
    Beitrag eines Themenheftes: Mathematical, logical, and formal methods in information retrieval
    Source
    Journal of the American Society for Information Science and technology. 54(2003) no.4, S.321-334
  14. Shapiro, C.D.; Yan, P.-F.: Generous tools : thesauri in digital libraries (1996) 0.00
    0.0023887705 = product of:
      0.017915778 = sum of:
        0.011009198 = weight(_text_:und in 3132) [ClassicSimilarity], result of:
          0.011009198 = score(doc=3132,freq=2.0), product of:
            0.06422601 = queryWeight, product of:
              2.216367 = idf(docFreq=13101, maxDocs=44218)
              0.028978055 = queryNorm
            0.17141339 = fieldWeight in 3132, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              2.216367 = idf(docFreq=13101, maxDocs=44218)
              0.0546875 = fieldNorm(doc=3132)
        0.00690658 = product of:
          0.01381316 = sum of:
            0.01381316 = weight(_text_:information in 3132) [ClassicSimilarity], result of:
              0.01381316 = score(doc=3132,freq=8.0), product of:
                0.050870337 = queryWeight, product of:
                  1.7554779 = idf(docFreq=20772, maxDocs=44218)
                  0.028978055 = queryNorm
                0.27153665 = fieldWeight in 3132, product of:
                  2.828427 = tf(freq=8.0), with freq of:
                    8.0 = termFreq=8.0
                  1.7554779 = idf(docFreq=20772, maxDocs=44218)
                  0.0546875 = fieldNorm(doc=3132)
          0.5 = coord(1/2)
      0.13333334 = coord(2/15)
    
    Abstract
    The Electronic Libraries and Information Highways MITRE Sponsored Research project aims to help searchers working in digital libraries increase their chance of matching the language of authors. Focuses on whether query formulation can be improved through the addition of semantic knowledge that is interactively gathered from a thesaurus that exists in a distributed, interoperating, cooperative environment. A prototype, ELVIS, was built that improves information retrieval through query expansion and is based on publicly available Z39.50 standard thesauri integrated with networked information discovery and retrieval tools
    Imprint
    Medford, NJ : Information Today
    Theme
    Konzeption und Anwendung des Prinzips Thesaurus
  15. Järvelin, K.; Kristensen, J.; Niemi, T.; Sormunen, E.; Keskustalo, H.: ¬A deductive data model for query expansion (1996) 0.00
    0.0019651123 = product of:
      0.029476684 = sum of:
        0.029476684 = sum of:
          0.005919926 = weight(_text_:information in 2230) [ClassicSimilarity], result of:
            0.005919926 = score(doc=2230,freq=2.0), product of:
              0.050870337 = queryWeight, product of:
                1.7554779 = idf(docFreq=20772, maxDocs=44218)
                0.028978055 = queryNorm
              0.116372846 = fieldWeight in 2230, product of:
                1.4142135 = tf(freq=2.0), with freq of:
                  2.0 = termFreq=2.0
                1.7554779 = idf(docFreq=20772, maxDocs=44218)
                0.046875 = fieldNorm(doc=2230)
          0.023556758 = weight(_text_:22 in 2230) [ClassicSimilarity], result of:
            0.023556758 = score(doc=2230,freq=2.0), product of:
              0.101476215 = queryWeight, product of:
                3.5018296 = idf(docFreq=3622, maxDocs=44218)
                0.028978055 = queryNorm
              0.23214069 = fieldWeight in 2230, product of:
                1.4142135 = tf(freq=2.0), with freq of:
                  2.0 = termFreq=2.0
                3.5018296 = idf(docFreq=3622, maxDocs=44218)
                0.046875 = fieldNorm(doc=2230)
      0.06666667 = coord(1/15)
    
    Source
    Proceedings of the 19th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (ACM SIGIR '96), Zürich, Switzerland, August 18-22, 1996. Eds.: H.P. Frei et al
  16. Smeaton, A.F.; Rijsbergen, C.J. van: ¬The retrieval effects of query expansion on a feedback document retrieval system (1983) 0.00
    0.0018321925 = product of:
      0.027482886 = sum of:
        0.027482886 = product of:
          0.05496577 = sum of:
            0.05496577 = weight(_text_:22 in 2134) [ClassicSimilarity], result of:
              0.05496577 = score(doc=2134,freq=2.0), product of:
                0.101476215 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.028978055 = queryNorm
                0.5416616 = fieldWeight in 2134, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.109375 = fieldNorm(doc=2134)
          0.5 = coord(1/2)
      0.06666667 = coord(1/15)
    
    Date
    30. 3.2001 13:32:22
  17. Chen, H.; Martinez, J.; Kirchhoff, A.; Ng, T.D.; Schatz, B.R.: Alleviating search uncertainty through concept associations : automatic indexing, co-occurence analysis, and parallel computing (1998) 0.00
    0.0018163302 = product of:
      0.013622476 = sum of:
        0.009436456 = weight(_text_:und in 5202) [ClassicSimilarity], result of:
          0.009436456 = score(doc=5202,freq=2.0), product of:
            0.06422601 = queryWeight, product of:
              2.216367 = idf(docFreq=13101, maxDocs=44218)
              0.028978055 = queryNorm
            0.14692576 = fieldWeight in 5202, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              2.216367 = idf(docFreq=13101, maxDocs=44218)
              0.046875 = fieldNorm(doc=5202)
        0.0041860198 = product of:
          0.0083720395 = sum of:
            0.0083720395 = weight(_text_:information in 5202) [ClassicSimilarity], result of:
              0.0083720395 = score(doc=5202,freq=4.0), product of:
                0.050870337 = queryWeight, product of:
                  1.7554779 = idf(docFreq=20772, maxDocs=44218)
                  0.028978055 = queryNorm
                0.16457605 = fieldWeight in 5202, product of:
                  2.0 = tf(freq=4.0), with freq of:
                    4.0 = termFreq=4.0
                  1.7554779 = idf(docFreq=20772, maxDocs=44218)
                  0.046875 = fieldNorm(doc=5202)
          0.5 = coord(1/2)
      0.13333334 = coord(2/15)
    
    Abstract
    In this article, we report research on an algorithmic approach to alleviating search uncertainty in a large information space. Grounded on object filtering, automatic indexing, and co-occurence analysis, we performed a large-scale experiment using a parallel supercomputer (SGI Power Challenge) to analyze 400.000+ abstracts in an INSPEC computer engineering collection. Two system-generated thesauri, one based on a combined object filtering and automatic indexing method, and the other based on automatic indexing only, were compaed with the human-generated INSPEC subject thesaurus. Our user evaluation revealed that the system-generated thesauri were better than the INSPEC thesaurus in 'concept recall', but in 'concept precision' the 3 thesauri were comparable. Our analysis also revealed that the terms suggested by the 3 thesauri were complementary and could be used to significantly increase 'variety' in search terms the thereby reduce search uncertainty
    Source
    Journal of the American Society for Information Science. 49(1998) no.3, S.206-216
    Theme
    Konzeption und Anwendung des Prinzips Thesaurus
  18. Spiteri, L.F.: ¬The essential elements of faceted thesauri (1999) 0.00
    0.0018163302 = product of:
      0.013622476 = sum of:
        0.009436456 = weight(_text_:und in 5362) [ClassicSimilarity], result of:
          0.009436456 = score(doc=5362,freq=2.0), product of:
            0.06422601 = queryWeight, product of:
              2.216367 = idf(docFreq=13101, maxDocs=44218)
              0.028978055 = queryNorm
            0.14692576 = fieldWeight in 5362, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              2.216367 = idf(docFreq=13101, maxDocs=44218)
              0.046875 = fieldNorm(doc=5362)
        0.0041860198 = product of:
          0.0083720395 = sum of:
            0.0083720395 = weight(_text_:information in 5362) [ClassicSimilarity], result of:
              0.0083720395 = score(doc=5362,freq=4.0), product of:
                0.050870337 = queryWeight, product of:
                  1.7554779 = idf(docFreq=20772, maxDocs=44218)
                  0.028978055 = queryNorm
                0.16457605 = fieldWeight in 5362, product of:
                  2.0 = tf(freq=4.0), with freq of:
                    4.0 = termFreq=4.0
                  1.7554779 = idf(docFreq=20772, maxDocs=44218)
                  0.046875 = fieldNorm(doc=5362)
          0.5 = coord(1/2)
      0.13333334 = coord(2/15)
    
    Abstract
    The goal of this study is to evaluate, compare, and contrast how facet analysis is used to construct the systematic or faceted displays of a selection of information retrieval thesauri. More specifically, the study seeks to examine which principles of facet analysis are used in the thesauri, and the extent to which different thesauri apply these principles in the same way. A measuring instrument was designed for the purpose of evaluating the structure of faceted thesauri. This instrument was applied to fourteen faceted information retrieval thesauri. The study reveals that the thesauri do not share a common definition of what constitutes a facet. In some cases, the thesauri apply both enumerative-style classification and facet analysis to arrange their indexing terms. A number of the facets used in the thesauri are not homogeneous or mutually exclusive. The principle of synthesis is used in only 50% of the thesauri, and no one citation order is used consistently by the thesauri.
    Theme
    Konzeption und Anwendung des Prinzips Thesaurus
  19. Bradford, R.B.: Relationship discovery in large text collections using Latent Semantic Indexing (2006) 0.00
    0.001743085 = product of:
      0.026146274 = sum of:
        0.026146274 = sum of:
          0.010441768 = weight(_text_:information in 1163) [ClassicSimilarity], result of:
            0.010441768 = score(doc=1163,freq=14.0), product of:
              0.050870337 = queryWeight, product of:
                1.7554779 = idf(docFreq=20772, maxDocs=44218)
                0.028978055 = queryNorm
              0.20526241 = fieldWeight in 1163, product of:
                3.7416575 = tf(freq=14.0), with freq of:
                  14.0 = termFreq=14.0
                1.7554779 = idf(docFreq=20772, maxDocs=44218)
                0.03125 = fieldNorm(doc=1163)
          0.015704507 = weight(_text_:22 in 1163) [ClassicSimilarity], result of:
            0.015704507 = score(doc=1163,freq=2.0), product of:
              0.101476215 = queryWeight, product of:
                3.5018296 = idf(docFreq=3622, maxDocs=44218)
                0.028978055 = queryNorm
              0.15476047 = fieldWeight in 1163, product of:
                1.4142135 = tf(freq=2.0), with freq of:
                  2.0 = termFreq=2.0
                3.5018296 = idf(docFreq=3622, maxDocs=44218)
                0.03125 = fieldNorm(doc=1163)
      0.06666667 = coord(1/15)
    
    Abstract
    This paper addresses the problem of information discovery in large collections of text. For users, one of the key problems in working with such collections is determining where to focus their attention. In selecting documents for examination, users must be able to formulate reasonably precise queries. Queries that are too broad will greatly reduce the efficiency of information discovery efforts by overwhelming the users with peripheral information. In order to formulate efficient queries, a mechanism is needed to automatically alert users regarding potentially interesting information contained within the collection. This paper presents the results of an experiment designed to test one approach to generation of such alerts. The technique of latent semantic indexing (LSI) is used to identify relationships among entities of interest. Entity extraction software is used to pre-process the text of the collection so that the LSI space contains representation vectors for named entities in addition to those for individual terms. In the LSI space, the cosine of the angle between the representation vectors for two entities captures important information regarding the degree of association of those two entities. For appropriate choices of entities, determining the entity pairs with the highest mutual cosine values yields valuable information regarding the contents of the text collection. The test database used for the experiment consists of 150,000 news articles. The proposed approach for alert generation is tested using a counterterrorism analysis example. The approach is shown to have significant potential for aiding users in rapidly focusing on information of potential importance in large text collections. The approach also has value in identifying possible use of aliases.
    Source
    Proceedings of the Fourth Workshop on Link Analysis, Counterterrorism, and Security, SIAM Data Mining Conference, Bethesda, MD, 20-22 April, 2006. [http://www.siam.org/meetings/sdm06/workproceed/Link%20Analysis/15.pdf]
  20. Brunetti, J.M.; Roberto García, R.: User-centered design and evaluation of overview components for semantic data exploration (2014) 0.00
    0.001691447 = product of:
      0.025371704 = sum of:
        0.025371704 = sum of:
          0.009667198 = weight(_text_:information in 1626) [ClassicSimilarity], result of:
            0.009667198 = score(doc=1626,freq=12.0), product of:
              0.050870337 = queryWeight, product of:
                1.7554779 = idf(docFreq=20772, maxDocs=44218)
                0.028978055 = queryNorm
              0.19003606 = fieldWeight in 1626, product of:
                3.4641016 = tf(freq=12.0), with freq of:
                  12.0 = termFreq=12.0
                1.7554779 = idf(docFreq=20772, maxDocs=44218)
                0.03125 = fieldNorm(doc=1626)
          0.015704507 = weight(_text_:22 in 1626) [ClassicSimilarity], result of:
            0.015704507 = score(doc=1626,freq=2.0), product of:
              0.101476215 = queryWeight, product of:
                3.5018296 = idf(docFreq=3622, maxDocs=44218)
                0.028978055 = queryNorm
              0.15476047 = fieldWeight in 1626, product of:
                1.4142135 = tf(freq=2.0), with freq of:
                  2.0 = termFreq=2.0
                3.5018296 = idf(docFreq=3622, maxDocs=44218)
                0.03125 = fieldNorm(doc=1626)
      0.06666667 = coord(1/15)
    
    Abstract
    Purpose - The growing volumes of semantic data available in the web result in the need for handling the information overload phenomenon. The potential of this amount of data is enormous but in most cases it is very difficult for users to visualize, explore and use this data, especially for lay-users without experience with Semantic Web technologies. The paper aims to discuss these issues. Design/methodology/approach - The Visual Information-Seeking Mantra "Overview first, zoom and filter, then details-on-demand" proposed by Shneiderman describes how data should be presented in different stages to achieve an effective exploration. The overview is the first user task when dealing with a data set. The objective is that the user is capable of getting an idea about the overall structure of the data set. Different information architecture (IA) components supporting the overview tasks have been developed, so they are automatically generated from semantic data, and evaluated with end-users. Findings - The chosen IA components are well known to web users, as they are present in most web pages: navigation bars, site maps and site indexes. The authors complement them with Treemaps, a visualization technique for displaying hierarchical data. These components have been developed following an iterative User-Centered Design methodology. Evaluations with end-users have shown that they get easily used to them despite the fact that they are generated automatically from structured data, without requiring knowledge about the underlying semantic technologies, and that the different overview components complement each other as they focus on different information search needs. Originality/value - Obtaining semantic data sets overviews cannot be easily done with the current semantic web browsers. Overviews become difficult to achieve with large heterogeneous data sets, which is typical in the Semantic Web, because traditional IA techniques do not easily scale to large data sets. There is little or no support to obtain overview information quickly and easily at the beginning of the exploration of a new data set. This can be a serious limitation when exploring a data set for the first time, especially for lay-users. The proposal is to reuse and adapt existing IA components to provide this overview to users and show that they can be generated automatically from the thesaurus and ontologies that structure semantic data while providing a comparable user experience to traditional web sites.
    Date
    20. 1.2015 18:30:22
    Source
    Aslib journal of information management. 66(2014) no.5, S.519-536

Authors

Years

Types

  • a 170
  • el 15
  • m 14
  • r 3
  • p 2
  • s 2
  • x 1
  • More… Less…