Search (147 results, page 1 of 8)

  • × theme_ss:"Semantisches Umfeld in Indexierung u. Retrieval"
  1. Mandalka, M.: Open semantic search zum unabhängigen und datenschutzfreundlichen Erschliessen von Dokumenten (2015) 0.05 
    0.045431033 = product of:
  0.17036636 = sum of:
    0.07497405 = weight(_text_:suchmaschine in 2133) [ClassicSimilarity], result of:
      0.07497405 = score(doc=2133,freq=10.0), product of:
        0.17890577 = queryWeight, product of:
          5.6542544 = idf(docFreq=420, maxDocs=44218)
          0.031640913 = queryNorm
        0.41907007 = fieldWeight in 2133, product of:
          3.1622777 = tf(freq=10.0), with freq of:
            10.0 = termFreq=10.0
          5.6542544 = idf(docFreq=420, maxDocs=44218)
          0.0234375 = fieldNorm(doc=2133)
    0.046217255 = product of:
      0.09243451 = sum of:
        0.09243451 = weight(_text_:recherche in 2133) [ClassicSimilarity], result of:
          0.09243451 = score(doc=2133,freq=18.0), product of:
            0.17150146 = queryWeight, product of:
              5.4202437 = idf(docFreq=531, maxDocs=44218)
              0.031640913 = queryNorm
            0.53897214 = fieldWeight in 2133, product of:
              4.2426405 = tf(freq=18.0), with freq of:
                18.0 = termFreq=18.0
              5.4202437 = idf(docFreq=531, maxDocs=44218)
              0.0234375 = fieldNorm(doc=2133)
      0.5 = coord(1/2)
    0.028588645 = weight(_text_:software in 2133) [ClassicSimilarity], result of:
      0.028588645 = score(doc=2133,freq=6.0), product of:
        0.12552431 = queryWeight, product of:
          3.9671519 = idf(docFreq=2274, maxDocs=44218)
          0.031640913 = queryNorm
        0.22775385 = fieldWeight in 2133, product of:
          2.4494898 = tf(freq=6.0), with freq of:
            6.0 = termFreq=6.0
          3.9671519 = idf(docFreq=2274, maxDocs=44218)
          0.0234375 = fieldNorm(doc=2133)
    0.020586418 = product of:
      0.041172836 = sum of:
        0.041172836 = weight(_text_:analyse in 2133) [ClassicSimilarity], result of:
          0.041172836 = score(doc=2133,freq=4.0), product of:
            0.16670908 = queryWeight, product of:
              5.268782 = idf(docFreq=618, maxDocs=44218)
              0.031640913 = queryNorm
            0.24697417 = fieldWeight in 2133, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              5.268782 = idf(docFreq=618, maxDocs=44218)
              0.0234375 = fieldNorm(doc=2133)
      0.5 = coord(1/2)
  0.26666668 = coord(4/15)
    Abstract
    Ob grösserer Leak oder Zusammenwürfeln oder (wieder) Erschliessen umfangreicherer (kollaborativer) Recherche(n) oder Archive: Immer öfter müssen im Journalismus größere Datenberge und Dokumentenberge erschlossen werden. In eine Suchmaschine integrierte Analyse-Tools helfen (halb)automatisch.
    Content
    "Open Semantic Desktop Search Zur Tagung des Netzwerk Recherche ist die Desktop Suchmaschine Open Semantic Desktop Search zum unabhängigen und datenschutzfreundlichen Erschliessen und Analysieren von Dokumentenbergen nun erstmals auch als deutschsprachige Version verfügbar. Dank mächtiger Open Source Basis kann die auf Debian GNU/Linux und Apache Solr basierende freie Software als unter Linux, Windows oder Mac lauffähige virtuelle Maschine kostenlos heruntergeladen, genutzt, weitergegeben und weiterentwickelt werden. Dokumentenberge erschliessen Ob grösserer Leak oder Zusammenwürfeln oder (wieder) Erschliessen umfangreicherer (kollaborativer) Recherche(n) oder Archive: Hin und wieder müssen größere Datenberge bzw. Dokumentenberge erschlossen werden, die so viele Dokumente enthalten, dass Mensch diese Masse an Dokumenten nicht mehr alle nacheinander durchschauen und einordnen kann. Auch bei kontinuierlicher Recherche zu Fachthemen sammeln sich mit der Zeit größere Mengen digitalisierter oder digitaler Dokumente zu grösseren Datenbergen an, die immer weiter wachsen und deren Informationen mit einer Suchmaschine für das Archiv leichter auffindbar bleiben. Moderne Tools zur Datenanalyse in Verbindung mit Enterprise Search Suchlösungen und darauf aufbauender Recherche-Tools helfen (halb)automatisch.
    Automatische Texterkennung (OCR) Dokumente, die nicht im Textformat, sondern als Grafiken vorliegen, wie z.B. Scans werden automatisch durch automatische Texterkennung (OCR) angereichert und damit auch der extrahierte Text durchsuchbar. Auch für eingebettete Bilddateien bzw. Scans innerhalb von PDF-Dateien. Unscharfe Suche mit Listen Ansonsten ist auch das Recherche-Tool bzw. die Such-Applikation "Suche mit Listen" integriert, mit denen sich schnell und komfortabel abgleichen lässt, ob es zu den einzelnen Einträgen in Listen jeweils Treffer in der durchsuchbaren Dokumentensammlung gibt. Mittels unscharfer Suche findet das Tool auch Ergebnisse, die in fehlerhaften oder unterschiedlichen Schreibweisen vorliegen. Semantische Suche und Textmining Im Recherche, Textanalyse und Document Mining Tutorial zu den enthaltenen Recherche-Tools und verschiedenen kombinierten Methoden zur Datenanalyse, Anreicherung und Suche wird ausführlicher beschrieben, wie auch eine große heterogene und unstrukturierte Dokumentensammlung bzw. eine grosse Anzahl von Dokumenten in verschiedenen Formaten leicht durchsucht und analysiert werden kann.
    Virtuelle Maschine für mehr Plattformunabhängigkeit Die nun auch deutschsprachig verfügbare und mit deutschen Daten wie Ortsnamen oder Bundestagsabgeordneten vorkonfigurierte virtuelle Maschine Open Semantic Desktop Search ermöglicht nun auch auf einzelnen Desktop Computern oder Notebooks mit Windows oder iOS (Mac) die Suche und Analyse von Dokumenten mit der Suchmaschine Open Semantic Search. Als virtuelle Maschine (VM) lässt sich die Suchmaschine Open Semantic Search nicht nur für besonders sensible Dokumente mit dem verschlüsselten Live-System InvestigateIX als abgeschottetes System auf verschlüsselten externen Datenträgern installieren, sondern als virtuelle Maschine für den Desktop auch einfach unter Windows oder auf einem Mac in eine bzgl. weiterer Software und Daten bereits existierende Systemumgebung integrieren, ohne hierzu auf einen (für gemeinsame Recherchen im Team oder für die Redaktion auch möglichen) Suchmaschinen Server angewiesen zu sein. Datenschutz & Unabhängigkeit: Grössere Unabhängigkeit von zentralen IT-Infrastrukturen für unabhängigen investigativen Datenjournalismus Damit ist investigative Recherche weitmöglichst unabhängig möglich: ohne teure, zentrale und von Administratoren abhängige Server, ohne von der Dokumentenanzahl abhängige teure Software-Lizenzen, ohne Internet und ohne spionierende Cloud-Dienste. Datenanalyse und Suche finden auf dem eigenen Computer statt, nicht wie bei vielen anderen Lösungen in der sogenannten Cloud."
  2. Brunetti, J.M.; Roberto García, R.: User-centered design and evaluation of overview components for semantic data exploration (2014) 0.04 
    0.03600017 = product of:
  0.13500063 = sum of:
    0.024604581 = weight(_text_:evaluation in 1626) [ClassicSimilarity], result of:
      0.024604581 = score(doc=1626,freq=2.0), product of:
        0.13272417 = queryWeight, product of:
          4.1947007 = idf(docFreq=1811, maxDocs=44218)
          0.031640913 = queryNorm
        0.18538132 = fieldWeight in 1626, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          4.1947007 = idf(docFreq=1811, maxDocs=44218)
          0.03125 = fieldNorm(doc=1626)
    0.042123944 = weight(_text_:web in 1626) [ClassicSimilarity], result of:
      0.042123944 = score(doc=1626,freq=16.0), product of:
        0.10326045 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.031640913 = queryNorm
        0.4079388 = fieldWeight in 1626, product of:
          4.0 = tf(freq=16.0), with freq of:
            16.0 = termFreq=16.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.03125 = fieldNorm(doc=1626)
    0.0596983 = weight(_text_:site in 1626) [ClassicSimilarity], result of:
      0.0596983 = score(doc=1626,freq=4.0), product of:
        0.1738463 = queryWeight, product of:
          5.494352 = idf(docFreq=493, maxDocs=44218)
          0.031640913 = queryNorm
        0.343397 = fieldWeight in 1626, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          5.494352 = idf(docFreq=493, maxDocs=44218)
          0.03125 = fieldNorm(doc=1626)
    0.008573813 = product of:
      0.017147627 = sum of:
        0.017147627 = weight(_text_:22 in 1626) [ClassicSimilarity], result of:
          0.017147627 = score(doc=1626,freq=2.0), product of:
            0.110801086 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.031640913 = 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)
      0.5 = coord(1/2)
  0.26666668 = coord(4/15)
    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
    Theme
    Semantic Web
  3. Gillitzer, B.: Yewno (2017) 0.03 
    0.032761175 = product of:
  0.122854404 = sum of:
    0.063223675 = weight(_text_:suchmaschine in 3447) [ClassicSimilarity], result of:
      0.063223675 = score(doc=3447,freq=4.0), product of:
        0.17890577 = queryWeight, product of:
          5.6542544 = idf(docFreq=420, maxDocs=44218)
          0.031640913 = queryNorm
        0.3533909 = fieldWeight in 3447, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          5.6542544 = idf(docFreq=420, maxDocs=44218)
          0.03125 = fieldNorm(doc=3447)
    0.029049365 = product of:
      0.05809873 = sum of:
        0.05809873 = weight(_text_:recherche in 3447) [ClassicSimilarity], result of:
          0.05809873 = score(doc=3447,freq=4.0), product of:
            0.17150146 = queryWeight, product of:
              5.4202437 = idf(docFreq=531, maxDocs=44218)
              0.031640913 = queryNorm
            0.33876523 = fieldWeight in 3447, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              5.4202437 = idf(docFreq=531, maxDocs=44218)
              0.03125 = fieldNorm(doc=3447)
      0.5 = coord(1/2)
    0.02200755 = weight(_text_:software in 3447) [ClassicSimilarity], result of:
      0.02200755 = score(doc=3447,freq=2.0), product of:
        0.12552431 = queryWeight, product of:
          3.9671519 = idf(docFreq=2274, maxDocs=44218)
          0.031640913 = queryNorm
        0.17532499 = fieldWeight in 3447, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.9671519 = idf(docFreq=2274, maxDocs=44218)
          0.03125 = fieldNorm(doc=3447)
    0.008573813 = product of:
      0.017147627 = sum of:
        0.017147627 = weight(_text_:22 in 3447) [ClassicSimilarity], result of:
          0.017147627 = score(doc=3447,freq=2.0), product of:
            0.110801086 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.031640913 = queryNorm
            0.15476047 = fieldWeight in 3447, 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=3447)
      0.5 = coord(1/2)
  0.26666668 = coord(4/15)
    Abstract
    "Die Bayerische Staatsbibliothek testet den semantischen "Discovery Service" Yewno als zusätzliche thematische Suchmaschine für digitale Volltexte. Der Service ist unter folgendem Link erreichbar: https://www.bsb-muenchen.de/recherche-und-service/suchen-und-finden/yewno/. Das Identifizieren von Themen, um die es in einem Text geht, basiert bei Yewno alleine auf Methoden der künstlichen Intelligenz und des maschinellen Lernens. Dabei werden sie nicht - wie bei klassischen Katalogsystemen - einem Text als Ganzem zugeordnet, sondern der jeweiligen Textstelle. Die Eingabe eines Suchwortes bzw. Themas, bei Yewno "Konzept" genannt, führt umgehend zu einer grafischen Darstellung eines semantischen Netzwerks relevanter Konzepte und ihrer inhaltlichen Zusammenhänge. So ist ein Navigieren über thematische Beziehungen bis hin zu den Fundstellen im Text möglich, die dann in sogenannten Snippets angezeigt werden. In der Test-Anwendung der Bayerischen Staatsbibliothek durchsucht Yewno aktuell 40 Millionen englischsprachige Dokumente aus Publikationen namhafter Wissenschaftsverlage wie Cambridge University Press, Oxford University Press, Wiley, Sage und Springer, sowie Dokumente, die im Open Access verfügbar sind. Nach der dreimonatigen Testphase werden zunächst die Rückmeldungen der Nutzer ausgewertet. Ob und wann dann der Schritt von der klassischen Suchmaschine zum semantischen "Discovery Service" kommt und welche Bedeutung Anwendungen wie Yewno in diesem Zusammenhang einnehmen werden, ist heute noch nicht abzusehen. Die Software Yewno wurde vom gleichnamigen Startup in Zusammenarbeit mit der Stanford University entwickelt, mit der auch die Bayerische Staatsbibliothek eng kooperiert. [Inetbib-Posting vom 22.02.2017].
    Date
    22. 2.2017 10:16:49
    Source
    https://www.bsb-muenchen.de/recherche-und-service/suchen-und-finden/yewno/
  4. Shiri, A.A.; Revie, C.: Query expansion behavior within a thesaurus-enhanced search environment : a user-centered evaluation (2006) 0.03 
    0.026756855 = product of:
  0.1003382 = sum of:
    0.027509436 = weight(_text_:software in 56) [ClassicSimilarity], result of:
      0.027509436 = score(doc=56,freq=2.0), product of:
        0.12552431 = queryWeight, product of:
          3.9671519 = idf(docFreq=2274, maxDocs=44218)
          0.031640913 = queryNorm
        0.21915624 = fieldWeight in 56, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.9671519 = idf(docFreq=2274, maxDocs=44218)
          0.0390625 = fieldNorm(doc=56)
    0.043495167 = weight(_text_:evaluation in 56) [ClassicSimilarity], result of:
      0.043495167 = score(doc=56,freq=4.0), product of:
        0.13272417 = queryWeight, product of:
          4.1947007 = idf(docFreq=1811, maxDocs=44218)
          0.031640913 = queryNorm
        0.327711 = fieldWeight in 56, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          4.1947007 = idf(docFreq=1811, maxDocs=44218)
          0.0390625 = fieldNorm(doc=56)
    0.01861633 = weight(_text_:web in 56) [ClassicSimilarity], result of:
      0.01861633 = score(doc=56,freq=2.0), product of:
        0.10326045 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.031640913 = queryNorm
        0.18028519 = fieldWeight in 56, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.0390625 = fieldNorm(doc=56)
    0.010717267 = product of:
      0.021434534 = sum of:
        0.021434534 = weight(_text_:22 in 56) [ClassicSimilarity], result of:
          0.021434534 = score(doc=56,freq=2.0), product of:
            0.110801086 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.031640913 = queryNorm
            0.19345059 = fieldWeight in 56, 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=56)
      0.5 = coord(1/2)
  0.26666668 = coord(4/15)
    Abstract
    The study reported here investigated the query expansion behavior of end-users interacting with a thesaurus-enhanced search system on the Web. Two groups, namely academic staff and postgraduate students, were recruited into this study. Data were collected from 90 searches performed by 30 users using the OVID interface to the CAB abstracts database. Data-gathering techniques included questionnaires, screen capturing software, and interviews. The results presented here relate to issues of search-topic and search-term characteristics, number and types of expanded queries, usefulness of thesaurus terms, and behavioral differences between academic staff and postgraduate students in their interaction. The key conclusions drawn were that (a) academic staff chose more narrow and synonymous terms than did postgraduate students, who generally selected broader and related terms; (b) topic complexity affected users' interaction with the thesaurus in that complex topics required more query expansion and search term selection; (c) users' prior topic-search experience appeared to have a significant effect on their selection and evaluation of thesaurus terms; (d) in 50% of the searches where additional terms were suggested from the thesaurus, users stated that they had not been aware of the terms at the beginning of the search; this observation was particularly noticeable in the case of postgraduate students.
    Date
    22. 7.2006 16:32:43
  5. Faaborg, A.; Lagoze, C.: Semantic browsing (2003) 0.02 
    0.023471618 = product of:
  0.11735809 = sum of:
    0.03851321 = weight(_text_:software in 1026) [ClassicSimilarity], result of:
      0.03851321 = score(doc=1026,freq=2.0), product of:
        0.12552431 = queryWeight, product of:
          3.9671519 = idf(docFreq=2274, maxDocs=44218)
          0.031640913 = queryNorm
        0.30681872 = fieldWeight in 1026, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.9671519 = idf(docFreq=2274, maxDocs=44218)
          0.0546875 = fieldNorm(doc=1026)
    0.06384071 = weight(_text_:web in 1026) [ClassicSimilarity], result of:
      0.06384071 = score(doc=1026,freq=12.0), product of:
        0.10326045 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.031640913 = queryNorm
        0.6182494 = fieldWeight in 1026, product of:
          3.4641016 = tf(freq=12.0), with freq of:
            12.0 = termFreq=12.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.0546875 = fieldNorm(doc=1026)
    0.015004174 = product of:
      0.030008348 = sum of:
        0.030008348 = weight(_text_:22 in 1026) [ClassicSimilarity], result of:
          0.030008348 = score(doc=1026,freq=2.0), product of:
            0.110801086 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.031640913 = queryNorm
            0.2708308 = fieldWeight in 1026, 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=1026)
      0.5 = coord(1/2)
  0.2 = coord(3/15)
    Abstract
    We have created software applications that allow users to both author and use Semantic Web metadata. To create and use a layer of semantic content on top of the existing Web, we have (1) implemented a user interface that expedites the task of attributing metadata to resources on the Web, and (2) augmented a Web browser to leverage this semantic metadata to provide relevant information and tasks to the user. This project provides a framework for annotating and reorganizing existing files, pages, and sites on the Web that is similar to Vannevar Bushrsquos original concepts of trail blazing and associative indexing.
    Source
    Research and advanced technology for digital libraries : 7th European Conference, proceedings / ECDL 2003, Trondheim, Norway, August 17-22, 2003
    Theme
    Semantic Web
  6. Horch, A.; Kett, H.; Weisbecker, A.: Semantische Suchsysteme für das Internet : Architekturen und Komponenten semantischer Suchmaschinen (2013) 0.02 
    0.021625258 = product of:
  0.16218942 = sum of:
    0.124956764 = weight(_text_:suchmaschine in 4063) [ClassicSimilarity], result of:
      0.124956764 = score(doc=4063,freq=10.0), product of:
        0.17890577 = queryWeight, product of:
          5.6542544 = idf(docFreq=420, maxDocs=44218)
          0.031640913 = queryNorm
        0.69845015 = fieldWeight in 4063, product of:
          3.1622777 = tf(freq=10.0), with freq of:
            10.0 = termFreq=10.0
          5.6542544 = idf(docFreq=420, maxDocs=44218)
          0.0390625 = fieldNorm(doc=4063)
    0.03723266 = weight(_text_:web in 4063) [ClassicSimilarity], result of:
      0.03723266 = score(doc=4063,freq=8.0), product of:
        0.10326045 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.031640913 = queryNorm
        0.36057037 = fieldWeight in 4063, product of:
          2.828427 = tf(freq=8.0), with freq of:
            8.0 = termFreq=8.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.0390625 = fieldNorm(doc=4063)
  0.13333334 = coord(2/15)
    Abstract
    In der heutigen Zeit nimmt die Flut an Informationen exponentiell zu. In dieser »Informationsexplosion« entsteht täglich eine unüberschaubare Menge an neuen Informationen im Web: Beispielsweise 430 deutschsprachige Artikel bei Wikipedia, 2,4 Mio. Tweets bei Twitter und 12,2 Mio. Kommentare bei Facebook. Während in Deutschland vor einigen Jahren noch Google als nahezu einzige Suchmaschine beim Zugriff auf Informationen im Web genutzt wurde, nehmen heute die u.a. in Social Media veröffentlichten Meinungen und damit die Vorauswahl sowie Bewertung von Informationen einzelner Experten und Meinungsführer an Bedeutung zu. Aber wie können themenspezifische Informationen nun effizient für konkrete Fragestellungen identifiziert und bedarfsgerecht aufbereitet und visualisiert werden? Diese Studie gibt einen Überblick über semantische Standards und Formate, die Prozesse der semantischen Suche, Methoden und Techniken semantischer Suchsysteme, Komponenten zur Entwicklung semantischer Suchmaschinen sowie den Aufbau bestehender Anwendungen. Die Studie erläutert den prinzipiellen Aufbau semantischer Suchsysteme und stellt Methoden der semantischen Suche vor. Zudem werden Softwarewerkzeuge vorgestellt, mithilfe derer einzelne Funktionalitäten von semantischen Suchmaschinen realisiert werden können. Abschließend erfolgt die Betrachtung bestehender semantischer Suchmaschinen zur Veranschaulichung der Unterschiede der Systeme im Aufbau sowie in der Funktionalität.
    RSWK
    Suchmaschine / Semantic Web / Information Retrieval
    Suchmaschine / Information Retrieval / Ranking / Datenstruktur / Kontextbezogenes System
    Subject
    Suchmaschine / Semantic Web / Information Retrieval
    Suchmaschine / Information Retrieval / Ranking / Datenstruktur / Kontextbezogenes System
  7. Chen, H.; Lally, A.M.; Zhu, B.; Chau, M.: HelpfulMed : Intelligent searching for medical information over the Internet (2003) 0.02 
    0.015207631 = product of:
  0.07603815 = sum of:
    0.008049765 = product of:
      0.01609953 = sum of:
        0.01609953 = weight(_text_:online in 1615) [ClassicSimilarity], result of:
          0.01609953 = score(doc=1615,freq=2.0), product of:
            0.096027054 = queryWeight, product of:
              3.0349014 = idf(docFreq=5778, maxDocs=44218)
              0.031640913 = queryNorm
            0.16765618 = fieldWeight in 1615, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.0349014 = idf(docFreq=5778, maxDocs=44218)
              0.0390625 = fieldNorm(doc=1615)
      0.5 = coord(1/2)
    0.030755727 = weight(_text_:evaluation in 1615) [ClassicSimilarity], result of:
      0.030755727 = score(doc=1615,freq=2.0), product of:
        0.13272417 = queryWeight, product of:
          4.1947007 = idf(docFreq=1811, maxDocs=44218)
          0.031640913 = queryNorm
        0.23172665 = fieldWeight in 1615, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          4.1947007 = idf(docFreq=1811, maxDocs=44218)
          0.0390625 = fieldNorm(doc=1615)
    0.03723266 = weight(_text_:web in 1615) [ClassicSimilarity], result of:
      0.03723266 = score(doc=1615,freq=8.0), product of:
        0.10326045 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.031640913 = queryNorm
        0.36057037 = fieldWeight in 1615, product of:
          2.828427 = tf(freq=8.0), with freq of:
            8.0 = termFreq=8.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.0390625 = fieldNorm(doc=1615)
  0.2 = coord(3/15)
    Abstract
    The Medical professionals and researchers need information from reputable sources to accomplish their work. Unfortunately, the Web has a large number of documents that are irrelevant to their work, even those documents that purport to be "medically-related." This paper describes an architecture designed to integrate advanced searching and indexing algorithms, an automatic thesaurus, or "concept space," and Kohonen-based Self-Organizing Map (SOM) technologies to provide searchers with finegrained results. Initial results indicate that these systems provide complementary retrieval functionalities. HelpfulMed not only allows users to search Web pages and other online databases, but also allows them to build searches through the use of an automatic thesaurus and browse a graphical display of medical-related topics. Evaluation results for each of the different components are included. Our spidering algorithm outperformed both breadth-first search and PageRank spiders an a test collection of 100,000 Web pages. The automatically generated thesaurus performed as well as both MeSH and UMLS-systems which require human mediation for currency. Lastly, a variant of the Kohonen SOM was comparable to MeSH terms in perceived cluster precision and significantly better at perceived cluster recall.
    Footnote
    Teil eines Themenheftes: "Web retrieval and mining: A machine learning perspective"
  8. Bilal, D.; Kirby, J.: Differences and similarities in information seeking : children and adults as Web users (2002) 0.02 
    0.015158802 = product of:
  0.07579401 = sum of:
    0.00910727 = product of:
      0.01821454 = sum of:
        0.01821454 = weight(_text_:online in 2591) [ClassicSimilarity], result of:
          0.01821454 = score(doc=2591,freq=4.0), product of:
            0.096027054 = queryWeight, product of:
              3.0349014 = idf(docFreq=5778, maxDocs=44218)
              0.031640913 = queryNorm
            0.18968134 = fieldWeight in 2591, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              3.0349014 = idf(docFreq=5778, maxDocs=44218)
              0.03125 = fieldNorm(doc=2591)
      0.5 = coord(1/2)
    0.02200755 = weight(_text_:software in 2591) [ClassicSimilarity], result of:
      0.02200755 = score(doc=2591,freq=2.0), product of:
        0.12552431 = queryWeight, product of:
          3.9671519 = idf(docFreq=2274, maxDocs=44218)
          0.031640913 = queryNorm
        0.17532499 = fieldWeight in 2591, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.9671519 = idf(docFreq=2274, maxDocs=44218)
          0.03125 = fieldNorm(doc=2591)
    0.044679187 = weight(_text_:web in 2591) [ClassicSimilarity], result of:
      0.044679187 = score(doc=2591,freq=18.0), product of:
        0.10326045 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.031640913 = queryNorm
        0.43268442 = fieldWeight in 2591, product of:
          4.2426405 = tf(freq=18.0), with freq of:
            18.0 = termFreq=18.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.03125 = fieldNorm(doc=2591)
  0.2 = coord(3/15)
    Abstract
    This study examined the success and information seeking behaviors of seventh-grade science students and graduate students in information science in using Yahooligans! Web search engine/directory. It investigated these users' cognitive, affective, and physical behaviors as they sought the answer for a fact-finding task. It analyzed and compared the overall patterns of children's and graduate students' Web activities, including searching moves, browsing moves, backtracking moves, looping moves, screen scrolling, target location and deviation moves, and the time they took to complete the task. The authors applied Bilal's Web Traversal Measure to quantify these users' effectiveness, efficiency, and quality of moves they made. Results were based on 14 children's Web sessions and nine graduate students' sessions. Both groups' Web activities were captured online using Lotus ScreenCam, a software package that records and replays online activities in Web browsers. Children's affective states were captured via exit interviews. Graduate students' affective states were extracted from the journal writings they kept during the traversal process. The study findings reveal that 89% of the graduate students found the correct answer to the search task as opposed to 50% of the children. Based on the Measure, graduate students' weighted effectiveness, efficiency, and quality of the Web moves they made were much higher than those of the children. Regardless of success and weighted scores, however, similarities and differences in information seeking were found between the two groups. Yahooligans! poor structure of keyword searching was a major factor that contributed to the "breakdowns" children and graduate students experienced. Unlike children, graduate students were able to recover from "breakdowns" quickly and effectively. Three main factors influenced these users' performance: ability to recover from "breakdowns", navigational style, and focus on task. Children and graduate students made recommendations for improving Yahooligans! interface design. Implications for Web user training and system design improvements are made.
  9. Scholer, F.; Williams, H.E.; Turpin, A.: Query association surrogates for Web search (2004) 0.01 
    0.0143998405 = product of:
  0.107998796 = sum of:
    0.044679187 = weight(_text_:web in 2236) [ClassicSimilarity], result of:
      0.044679187 = score(doc=2236,freq=8.0), product of:
        0.10326045 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.031640913 = queryNorm
        0.43268442 = fieldWeight in 2236, product of:
          2.828427 = tf(freq=8.0), with freq of:
            8.0 = termFreq=8.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.046875 = fieldNorm(doc=2236)
    0.06331961 = weight(_text_:site in 2236) [ClassicSimilarity], result of:
      0.06331961 = score(doc=2236,freq=2.0), product of:
        0.1738463 = queryWeight, product of:
          5.494352 = idf(docFreq=493, maxDocs=44218)
          0.031640913 = queryNorm
        0.3642275 = fieldWeight in 2236, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          5.494352 = idf(docFreq=493, maxDocs=44218)
          0.046875 = fieldNorm(doc=2236)
  0.13333334 = coord(2/15)
    Abstract
    Collection sizes, query rates, and the number of users of Web search engines are increasing. Therefore, there is continued demand for innovation in providing search services that meet user information needs. In this article, we propose new techniques to add additional terms to documents with the goal of providing more accurate searches. Our techniques are based an query association, where queries are stored with documents that are highly similar statistically. We show that adding query associations to documents improves the accuracy of Web topic finding searches by up to 7%, and provides an excellent complement to existing supplement techniques for site finding. We conclude that using document surrogates derived from query association is a valuable new technique for accurate Web searching.
  10. Fieldhouse, M.; Hancock-Beaulieu, M.: ¬The design of a graphical user interface for a highly interactive information retrieval system (1996) 0.01 
    0.013866372 = product of:
  0.06933186 = sum of:
    0.011269671 = product of:
      0.022539342 = sum of:
        0.022539342 = weight(_text_:online in 6958) [ClassicSimilarity], result of:
          0.022539342 = score(doc=6958,freq=2.0), product of:
            0.096027054 = queryWeight, product of:
              3.0349014 = idf(docFreq=5778, maxDocs=44218)
              0.031640913 = queryNorm
            0.23471867 = fieldWeight in 6958, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.0349014 = idf(docFreq=5778, maxDocs=44218)
              0.0546875 = fieldNorm(doc=6958)
      0.5 = coord(1/2)
    0.04305802 = weight(_text_:evaluation in 6958) [ClassicSimilarity], result of:
      0.04305802 = score(doc=6958,freq=2.0), product of:
        0.13272417 = queryWeight, product of:
          4.1947007 = idf(docFreq=1811, maxDocs=44218)
          0.031640913 = queryNorm
        0.32441732 = fieldWeight in 6958, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          4.1947007 = idf(docFreq=1811, maxDocs=44218)
          0.0546875 = fieldNorm(doc=6958)
    0.015004174 = product of:
      0.030008348 = sum of:
        0.030008348 = weight(_text_:22 in 6958) [ClassicSimilarity], result of:
          0.030008348 = score(doc=6958,freq=2.0), product of:
            0.110801086 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.031640913 = 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)
      0.5 = coord(1/2)
  0.2 = coord(3/15)
    Abstract
    Reports on the design of a GUI for the Okapi 'best match' retrieval system developed at the Centre for Interactive Systems Research, City University, UK, for online library catalogues. The X-Windows interface includes an interactive query expansion (IQE) facilty which involves the user in the selection of query terms to reformulate a search. Presents the design rationale, based on a game board metaphor, and describes the features of each of the stages of the search interaction. Reports on the early operational field trial and discusses relevant evaluation issues and objectives
    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. Wang, Z.; Khoo, C.S.G.; Chaudhry, A.S.: Evaluation of the navigation effectiveness of an organizational taxonomy built on a general classification scheme and domain thesauri (2014) 0.01 
    0.012291467 = product of:
  0.092186 = sum of:
    0.009659718 = product of:
      0.019319436 = sum of:
        0.019319436 = weight(_text_:online in 1251) [ClassicSimilarity], result of:
          0.019319436 = score(doc=1251,freq=2.0), product of:
            0.096027054 = queryWeight, product of:
              3.0349014 = idf(docFreq=5778, maxDocs=44218)
              0.031640913 = queryNorm
            0.20118743 = fieldWeight in 1251, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.0349014 = idf(docFreq=5778, maxDocs=44218)
              0.046875 = fieldNorm(doc=1251)
      0.5 = coord(1/2)
    0.08252628 = weight(_text_:evaluation in 1251) [ClassicSimilarity], result of:
      0.08252628 = score(doc=1251,freq=10.0), product of:
        0.13272417 = queryWeight, product of:
          4.1947007 = idf(docFreq=1811, maxDocs=44218)
          0.031640913 = queryNorm
        0.6217879 = fieldWeight in 1251, product of:
          3.1622777 = tf(freq=10.0), with freq of:
            10.0 = termFreq=10.0
          4.1947007 = idf(docFreq=1811, maxDocs=44218)
          0.046875 = fieldNorm(doc=1251)
  0.13333334 = coord(2/15)
    Abstract
    This paper presents an evaluation study of the navigation effectiveness of a multifaceted organizational taxonomy that was built on the Dewey Decimal Classification and several domain thesauri in the area of library and information science education. The objective of the evaluation was to detect deficiencies in the taxonomy and to infer problems of applied construction steps from users' navigation difficulties. The evaluation approach included scenario-based navigation exercises and postexercise interviews. Navigation exercise errors and underlying reasons were analyzed in relation to specific components of the taxonomy and applied construction steps. Guidelines for the construction of the hierarchical structure and categories of an organizational taxonomy using existing general classification schemes and domain thesauri were derived from the evaluation results.
    Theme
    Klassifikationssysteme im Online-Retrieval
  12. Hancock-Beaulieu, M.; Fieldhouse, M.; Do, T.: ¬A graphical interface for OKAPI : the design and evaluation of an online catalogue system with direct manipulation interaction for subject access (1994) 0.01 
    0.012068855 = product of:
  0.0905164 = sum of:
    0.015937723 = product of:
      0.031875446 = sum of:
        0.031875446 = weight(_text_:online in 1318) [ClassicSimilarity], result of:
          0.031875446 = score(doc=1318,freq=4.0), product of:
            0.096027054 = queryWeight, product of:
              3.0349014 = idf(docFreq=5778, maxDocs=44218)
              0.031640913 = queryNorm
            0.33194235 = fieldWeight in 1318, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              3.0349014 = idf(docFreq=5778, maxDocs=44218)
              0.0546875 = fieldNorm(doc=1318)
      0.5 = coord(1/2)
    0.07457868 = weight(_text_:evaluation in 1318) [ClassicSimilarity], result of:
      0.07457868 = score(doc=1318,freq=6.0), product of:
        0.13272417 = queryWeight, product of:
          4.1947007 = idf(docFreq=1811, maxDocs=44218)
          0.031640913 = queryNorm
        0.5619073 = fieldWeight in 1318, product of:
          2.4494898 = tf(freq=6.0), with freq of:
            6.0 = termFreq=6.0
          4.1947007 = idf(docFreq=1811, maxDocs=44218)
          0.0546875 = fieldNorm(doc=1318)
  0.13333334 = coord(2/15)
    Abstract
    A project to design a graphical user interface for the OKAPI online catalogue search system which uses the basic term weighting probabilistic search engine. Presents a research context of the project with a discussion of interface and functionality issues relating to the design of OPACs. Describes the design methodology and evaluation methodology. Presents the preliminary results of the field trial evaluation. Considers problems encountered in the field trial and discusses contributory factors to the effectiveness of interactive query expansion. Highlights the tension between usability and functionality in highly interactive retrieval and suggests further areas of research
  13. Weichselgartner, E.: ZPID bindet Thesaurus in Retrievaloberfläche ein (2006) 0.01 
    0.011475782 = product of:
  0.08606836 = sum of:
    0.067452036 = sum of:
      0.01609953 = weight(_text_:online in 5962) [ClassicSimilarity], result of:
        0.01609953 = score(doc=5962,freq=2.0), product of:
          0.096027054 = queryWeight, product of:
            3.0349014 = idf(docFreq=5778, maxDocs=44218)
            0.031640913 = queryNorm
          0.16765618 = fieldWeight in 5962, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            3.0349014 = idf(docFreq=5778, maxDocs=44218)
            0.0390625 = fieldNorm(doc=5962)
      0.051352505 = weight(_text_:recherche in 5962) [ClassicSimilarity], result of:
        0.051352505 = score(doc=5962,freq=2.0), product of:
          0.17150146 = queryWeight, product of:
            5.4202437 = idf(docFreq=531, maxDocs=44218)
            0.031640913 = queryNorm
          0.29942897 = fieldWeight in 5962, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            5.4202437 = idf(docFreq=531, maxDocs=44218)
            0.0390625 = fieldNorm(doc=5962)
    0.01861633 = weight(_text_:web in 5962) [ClassicSimilarity], result of:
      0.01861633 = score(doc=5962,freq=2.0), product of:
        0.10326045 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.031640913 = queryNorm
        0.18028519 = fieldWeight in 5962, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.0390625 = fieldNorm(doc=5962)
  0.13333334 = coord(2/15)
    Abstract
    Seit 3. Juli 2006 stellt das ZPID eine verbesserte Suchoberfläche für die Recherche in der bibliographischen Psychologie-Datenbank PSYNDEX zur Verfügung. Hauptmerkmal der neuen Version 1.1 des 'ZPID-Retrieval für PSYNDEX' ist die Einbindung von 'PSYNDEX Terms', dem kontrollierten Wortschatz der psychologischen Fachsprache. PSYNDEX Terms basiert auf dem 'Thesaurus of Psychological Index Terms' der American Psychological Association (APA) und enthält im Moment über 5.400 Deskriptoren. Zu jedem Deskriptor werden ggf. Oberbegriffe, Unterbegriffe und verwandte Begriffe angezeigt. Wer die Suchoberfläche nutzt, kann entweder im Thesaurus blättern oder gezielt nach Thesaurusbegriffen suchen. Kommt der eigene frei gewählte Suchbegriff nicht im Thesaurus vor, macht das System selbsttätig Vorschläge für passende Thesaurusbegriffe. DerThesaurus ist komplett zweisprachig (deutsch/englisch) implementiert, sodass er auch als Übersetzungshilfe dient. Weitere Verbesserungen der Suchoberfläche betreffen die Darstellbarkeit in unterschiedlichen Web-Browsern mit dem Ziel der Barrierefreiheit, die Erweiterung der OnlineHilfe mit Beispielen für erfolgreiche Suchstrategien, die Möglichkeit, zu speziellen Themen vertiefte Informationen abzurufen (den Anfang machen psychologische Behandlungsprogramme) und die Bereitstellung eines Export-Filters für EndNote. Zielgruppe des ZPID-Retrieval sind Einzelpersonen, die keinen institutionellen PSYNDEX-Zugang, z.B. am Campus einer Universität, nutzen können. Sie können das kostenpflichtige Retrieval direkt online erwerben und werden binnen weniger Minuten freigeschaltet. Kunden mit existierendem Vertrag kommen automatisch in den Genuss der verbesserten Suchoberfläche.
  14. Bayer, O.; Höhfeld, S.; Josbächer, F.; Kimm, N.; Kradepohl, I.; Kwiatkowski, M.; Puschmann, C.; Sabbagh, M.; Werner, N.; Vollmer, U.: Evaluation of an ontology-based knowledge-management-system : a case study of Convera RetrievalWare 8.0 (2005) 0.01 
    0.010986585 = product of:
  0.08239938 = sum of:
    0.03890422 = weight(_text_:software in 624) [ClassicSimilarity], result of:
      0.03890422 = score(doc=624,freq=4.0), product of:
        0.12552431 = queryWeight, product of:
          3.9671519 = idf(docFreq=2274, maxDocs=44218)
          0.031640913 = queryNorm
        0.30993375 = fieldWeight in 624, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          3.9671519 = idf(docFreq=2274, maxDocs=44218)
          0.0390625 = fieldNorm(doc=624)
    0.043495167 = weight(_text_:evaluation in 624) [ClassicSimilarity], result of:
      0.043495167 = score(doc=624,freq=4.0), product of:
        0.13272417 = queryWeight, product of:
          4.1947007 = idf(docFreq=1811, maxDocs=44218)
          0.031640913 = queryNorm
        0.327711 = fieldWeight in 624, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          4.1947007 = idf(docFreq=1811, maxDocs=44218)
          0.0390625 = fieldNorm(doc=624)
  0.13333334 = coord(2/15)
    Abstract
    With RetrievalWare 8.0(TM) the American company Convera offers an elaborated software in the range of Information Retrieval, Information Indexing and Knowledge Management. Convera promises the possibility of handling different file formats in many different languages. Regarding comparable products one innovation is to be stressed particularly: the possibility of the preparation as well as integration of an ontology. One tool of the software package is useful in order to produce ontologies manually, to process existing ontologies and to import the very. The processing of search results is also to be mentioned. By means of categorization strategies search results can be classified dynamically and presented in personalized representations. This study presents an evaluation of the functions and components of the system. Technological aspects and modes of operation under the surface of Convera RetrievalWare will be analysed, with a focus on the creation of libraries and thesauri, and the problems posed by the integration of an existing thesaurus. Broader aspects such as usability and system ergonomics are integrated in the examination as well.
  15. Efthimiadis, E.N.: User choices : a new yardstick for the evaluation of ranking algorithms for interactive query expansion (1995) 0.01 
    0.010598556 = product of:
  0.079489164 = sum of:
    0.0687719 = weight(_text_:evaluation in 5697) [ClassicSimilarity], result of:
      0.0687719 = score(doc=5697,freq=10.0), product of:
        0.13272417 = queryWeight, product of:
          4.1947007 = idf(docFreq=1811, maxDocs=44218)
          0.031640913 = queryNorm
        0.5181566 = fieldWeight in 5697, product of:
          3.1622777 = tf(freq=10.0), with freq of:
            10.0 = termFreq=10.0
          4.1947007 = idf(docFreq=1811, maxDocs=44218)
          0.0390625 = fieldNorm(doc=5697)
    0.010717267 = product of:
      0.021434534 = sum of:
        0.021434534 = weight(_text_:22 in 5697) [ClassicSimilarity], result of:
          0.021434534 = score(doc=5697,freq=2.0), product of:
            0.110801086 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.031640913 = queryNorm
            0.19345059 = fieldWeight in 5697, 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=5697)
      0.5 = coord(1/2)
  0.13333334 = coord(2/15)
    Abstract
    The performance of 8 ranking algorithms was evaluated with respect to their effectiveness in ranking terms for query expansion. The evaluation was conducted within an investigation of interactive query expansion and relevance feedback in a real operational environment. Focuses on the identification of algorithms that most effectively take cognizance of user preferences. user choices (i.e. the terms selected by the searchers for the query expansion search) provided the yardstick for the evaluation of the 8 ranking algorithms. This methodology introduces a user oriented approach in evaluating ranking algorithms for query expansion in contrast to the standard, system oriented approaches. Similarities in the performance of the 8 algorithms and the ways these algorithms rank terms were the main focus of this evaluation. The findings demonstrate that the r-lohi, wpq, enim, and porter algorithms have similar performance in bringing good terms to the top of a ranked list of terms for query expansion. However, further evaluation of the algorithms in different (e.g. full text) environments is needed before these results can be generalized beyond the context of the present study
    Date
    22. 2.1996 13:14:10
  16. Walker, S.; DeVere, R.: Improving subject retrieval in online catalogues : T.2: Relevance feedback and query expansion (1990) 0.01 
    0.010348132 = product of:
  0.077610984 = sum of:
    0.01609953 = product of:
      0.03219906 = sum of:
        0.03219906 = weight(_text_:online in 1816) [ClassicSimilarity], result of:
          0.03219906 = score(doc=1816,freq=2.0), product of:
            0.096027054 = queryWeight, product of:
              3.0349014 = idf(docFreq=5778, maxDocs=44218)
              0.031640913 = queryNorm
            0.33531237 = fieldWeight in 1816, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.0349014 = idf(docFreq=5778, maxDocs=44218)
              0.078125 = fieldNorm(doc=1816)
      0.5 = coord(1/2)
    0.061511453 = weight(_text_:evaluation in 1816) [ClassicSimilarity], result of:
      0.061511453 = score(doc=1816,freq=2.0), product of:
        0.13272417 = queryWeight, product of:
          4.1947007 = idf(docFreq=1811, maxDocs=44218)
          0.031640913 = queryNorm
        0.4634533 = fieldWeight in 1816, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          4.1947007 = idf(docFreq=1811, maxDocs=44218)
          0.078125 = fieldNorm(doc=1816)
  0.13333334 = coord(2/15)
    Content
    1. Introduction // 2. Query modification through relevance feedback // 3. System design & description 4. Evaluation // 5. Analysis & results // 6. Conclusions and recommendations
  17. Klas, C.-P.; Fuhr, N.; Schaefer, A.: Evaluating strategic support for information access in the DAFFODIL system (2004) 0.01 
    0.010238041 = product of:
  0.0767853 = sum of:
    0.06392458 = weight(_text_:evaluation in 2419) [ClassicSimilarity], result of:
      0.06392458 = score(doc=2419,freq=6.0), product of:
        0.13272417 = queryWeight, product of:
          4.1947007 = idf(docFreq=1811, maxDocs=44218)
          0.031640913 = queryNorm
        0.48163486 = fieldWeight in 2419, product of:
          2.4494898 = tf(freq=6.0), with freq of:
            6.0 = termFreq=6.0
          4.1947007 = idf(docFreq=1811, maxDocs=44218)
          0.046875 = fieldNorm(doc=2419)
    0.01286072 = product of:
      0.02572144 = sum of:
        0.02572144 = weight(_text_:22 in 2419) [ClassicSimilarity], result of:
          0.02572144 = score(doc=2419,freq=2.0), product of:
            0.110801086 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.031640913 = 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)
      0.5 = coord(1/2)
  0.13333334 = coord(2/15)
    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
  18. Kruschwitz, U.; AI-Bakour, H.: Users want more sophisticated search assistants : results of a task-based evaluation (2005) 0.01 
    0.009584909 = product of:
  0.071886815 = sum of:
    0.053270485 = weight(_text_:evaluation in 4575) [ClassicSimilarity], result of:
      0.053270485 = score(doc=4575,freq=6.0), product of:
        0.13272417 = queryWeight, product of:
          4.1947007 = idf(docFreq=1811, maxDocs=44218)
          0.031640913 = queryNorm
        0.40136236 = fieldWeight in 4575, product of:
          2.4494898 = tf(freq=6.0), with freq of:
            6.0 = termFreq=6.0
          4.1947007 = idf(docFreq=1811, maxDocs=44218)
          0.0390625 = fieldNorm(doc=4575)
    0.01861633 = weight(_text_:web in 4575) [ClassicSimilarity], result of:
      0.01861633 = score(doc=4575,freq=2.0), product of:
        0.10326045 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.031640913 = queryNorm
        0.18028519 = fieldWeight in 4575, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.0390625 = fieldNorm(doc=4575)
  0.13333334 = coord(2/15)
    Abstract
    The Web provides a massive knowledge source, as do intranets and other electronic document collections. However, much of that knowledge is encoded implicitly and cannot be applied directly without processing into some more appropriate structures. Searching, browsing, question answering, for example, could all benefit from domain-specific knowledge contained in the documents, and in applications such as simple search we do not actually need very "deep" knowledge structures such as ontologies, but we can get a long way with a model of the domain that consists of term hierarchies. We combine domain knowledge automatically acquired by exploiting the documents' markup structure with knowledge extracted an the fly to assist a user with ad hoc search requests. Such a search system can suggest query modification options derived from the actual data and thus guide a user through the space of documents. This article gives a detailed account of a task-based evaluation that compares a search system that uses the outlined domain knowledge with a standard search system. We found that users do use the query modification suggestions proposed by the system. The main conclusion we can draw from this evaluation, however, is that users prefer a system that can suggest query modifications over a standard search engine, which simply presents a ranked list of documents. Most interestingly, we observe this user preference despite the fact that the baseline system even performs slightly better under certain criteria.
  19. Atanassova, I.; Bertin, M.: Semantic facets for scientific information retrieval (2014) 0.01 
    0.009216119 = product of:
  0.069120884 = sum of:
    0.04305802 = weight(_text_:evaluation in 4471) [ClassicSimilarity], result of:
      0.04305802 = score(doc=4471,freq=2.0), product of:
        0.13272417 = queryWeight, product of:
          4.1947007 = idf(docFreq=1811, maxDocs=44218)
          0.031640913 = queryNorm
        0.32441732 = fieldWeight in 4471, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          4.1947007 = idf(docFreq=1811, maxDocs=44218)
          0.0546875 = fieldNorm(doc=4471)
    0.026062861 = weight(_text_:web in 4471) [ClassicSimilarity], result of:
      0.026062861 = score(doc=4471,freq=2.0), product of:
        0.10326045 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.031640913 = queryNorm
        0.25239927 = fieldWeight in 4471, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.0546875 = fieldNorm(doc=4471)
  0.13333334 = coord(2/15)
    Source
    Semantic Web Evaluation Challenge. SemWebEval 2014 at ESWC 2014, Anissaras, Crete, Greece, May 25-29, 2014, Revised Selected Papers. Eds.: V. Presutti et al
  20. Wolfram, D.; Xie, H.I.: Traditional IR for web users : a context for general audience digital libraries (2002) 0.01 
    0.009065119 = product of:
  0.06798839 = sum of:
    0.030755727 = weight(_text_:evaluation in 2589) [ClassicSimilarity], result of:
      0.030755727 = score(doc=2589,freq=2.0), product of:
        0.13272417 = queryWeight, product of:
          4.1947007 = idf(docFreq=1811, maxDocs=44218)
          0.031640913 = queryNorm
        0.23172665 = fieldWeight in 2589, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          4.1947007 = idf(docFreq=1811, maxDocs=44218)
          0.0390625 = fieldNorm(doc=2589)
    0.03723266 = weight(_text_:web in 2589) [ClassicSimilarity], result of:
      0.03723266 = score(doc=2589,freq=8.0), product of:
        0.10326045 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.031640913 = queryNorm
        0.36057037 = fieldWeight in 2589, product of:
          2.828427 = tf(freq=8.0), with freq of:
            8.0 = termFreq=8.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.0390625 = fieldNorm(doc=2589)
  0.13333334 = coord(2/15)
    Abstract
    The emergence of general audience digital libraries (GADLs) defines a context that represents a hybrid of both "traditional" IR, using primarily bibliographic resources provided by database vendors, and "popular" IR, exemplified by public search systems available on the World Wide Web. Findings of a study investigating end-user searching and response to a GADL are reported. Data collected from a Web-based end-user survey and data logs of resource usage for a Web-based GADL were analyzed for user characteristics, patterns of access and use, and user feedback. Cross-tabulations using respondent demographics revealed several key differences in how the system was used and valued by users of different age groups. Older users valued the service more than younger users and engaged in different searching and viewing behaviors. The GADL more closely resembles traditional retrieval systems in terms of content and purpose of use, but is more similar to popular IR systems in terms of user behavior and accessibility. A model that defines the dual context of the GADL environment is derived from the data analysis and existing IR models in general and other specific contexts. The authors demonstrate the distinguishing characteristics of this IR context, and discuss implications for the development and evaluation of future GADLs to accommodate a variety of user needs and expectations.

Authors

Years

Languages

  • e 116
  • d 28
  • f 2
  • More… Less…

Types

  • a 122
  • el 17
  • m 13
  • r 5
  • s 2
  • x 2
  • p 1
  • More… Less…

Themes

Subjects

Classifications