-
Faaborg, A.; Lagoze, C.: Semantic browsing (2003)
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- 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
- Semantisches Umfeld in Indexierung u. Retrieval
Semantic Web
-
Context: nature, impact, and role : 5th International Conference on Conceptions of Library and Information Science, CoLIS 2005, Glasgow 2005; Proceedings (2005)
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- 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.
- RSWK
- Informationssystem / Navigieren / Kontextbezogenes System / Kongress / Glasgow <2005>
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>
- Subject
- Informationssystem / Navigieren / Kontextbezogenes System / Kongress / Glasgow <2005>
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>
- Theme
- Semantisches Umfeld in Indexierung u. Retrieval
-
Chang, C.-H.; Hsu, C.-C.: Integrating query expansion and conceptual relevance feedback for personalized Web information retrieval (1998)
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- 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
- Footnote
- Contribution to a special issue devoted to the Proceedings of the 7th International World Wide Web Conference, held 14-18 April 1998, Brisbane, Australia
- Theme
- Semantisches Umfeld in Indexierung u. Retrieval
-
Khan, M.S.; Khor, S.: Enhanced Web document retrieval using automatic query expansion (2004)
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- Abstract
- The ever growing popularity of the Internet as a source of information, coupled with the accompanying growth in the number of documents made available through the World Wide Web, is leading to an increasing demand for more efficient and accurate information retrieval tools. Numerous techniques have been proposed and tried for improving the effectiveness of searching the World Wide Web for documents relevant to a given topic of interest. The specification of appropriate keywords and phrases by the user is crucial for the successful execution of a query as measured by the relevance of documents retrieved. Lack of users' knowledge an the search topic and their changing information needs often make it difficult for them to find suitable keywords or phrases for a query. This results in searches that fail to cover all likely aspects of the topic of interest. We describe a scheme that attempts to remedy this situation by automatically expanding the user query through the analysis of initially retrieved documents. Experimental results to demonstrate the effectiveness of the query expansion scheure are presented.
- Source
- Journal of the American Society for Information Science and technology. 55(2004) no.1, S.29-40
- Theme
- Semantisches Umfeld in Indexierung u. Retrieval
-
Wolfram, D.; Xie, H.I.: Traditional IR for web users : a context for general audience digital libraries (2002)
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- 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.
- Footnote
- Beitrag in einem Themenheft: "Issues of context in information retrieval (IR)"
- Source
- Information processing and management. 38(2002) no.5, S.627-648
- Theme
- Semantisches Umfeld in Indexierung u. Retrieval
-
Symonds, M.; Bruza, P.; Zuccon, G.; Koopman, B.; Sitbon, L.; Turner, I.: Automatic query expansion : a structural linguistic perspective (2014)
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- Abstract
- A user's query is considered to be an imprecise description of their information need. Automatic query expansion is the process of reformulating the original query with the goal of improving retrieval effectiveness. Many successful query expansion techniques model syntagmatic associations that infer two terms co-occur more often than by chance in natural language. However, structural linguistics relies on both syntagmatic and paradigmatic associations to deduce the meaning of a word. Given the success of dependency-based approaches to query expansion and the reliance on word meanings in the query formulation process, we argue that modeling both syntagmatic and paradigmatic information in the query expansion process improves retrieval effectiveness. This article develops and evaluates a new query expansion technique that is based on a formal, corpus-based model of word meaning that models syntagmatic and paradigmatic associations. We demonstrate that when sufficient statistical information exists, as in the case of longer queries, including paradigmatic information alone provides significant improvements in retrieval effectiveness across a wide variety of data sets. More generally, when our new query expansion approach is applied to large-scale web retrieval it demonstrates significant improvements in retrieval effectiveness over a strong baseline system, based on a commercial search engine.
- Source
- Journal of the Association for Information Science and Technology. 65(2014) no.8, S.1577-1596
- Theme
- Semantisches Umfeld in Indexierung u. Retrieval
-
Ingwersen, P.; Järvelin, K.: ¬The turn : integration of information seeking and retrieval in context (2005)
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- 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.
- 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
- Semantisches Umfeld in Indexierung u. Retrieval
Information
-
Semantic search over the Web (2012)
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- Abstract
- The Web has become the world's largest database, with search being the main tool that allows organizations and individuals to exploit its huge amount of information. Search on the Web has been traditionally based on textual and structural similarities, ignoring to a large degree the semantic dimension, i.e., understanding the meaning of the query and of the document content. Combining search and semantics gives birth to the idea of semantic search. Traditional search engines have already advertised some semantic dimensions. Some of them, for instance, can enhance their generated result sets with documents that are semantically related to the query terms even though they may not include these terms. Nevertheless, the exploitation of the semantic search has not yet reached its full potential. In this book, Roberto De Virgilio, Francesco Guerra and Yannis Velegrakis present an extensive overview of the work done in Semantic Search and other related areas. They explore different technologies and solutions in depth, making their collection a valuable and stimulating reading for both academic and industrial researchers. The book is divided into three parts. The first introduces the readers to the basic notions of the Web of Data. It describes the different kinds of data that exist, their topology, and their storing and indexing techniques. The second part is dedicated to Web Search. It presents different types of search, like the exploratory or the path-oriented, alongside methods for their efficient and effective implementation. Other related topics included in this part are the use of uncertainty in query answering, the exploitation of ontologies, and the use of semantics in mashup design and operation. The focus of the third part is on linked data, and more specifically, on applying ideas originating in recommender systems on linked data management, and on techniques for the efficiently querying answering on linked data.
- Content
- Inhalt: Introduction.- Part I Introduction to Web of Data.- Topology of the Web of Data.- Storing and Indexing Massive RDF Data Sets.- Designing Exploratory Search Applications upon Web Data Sources.- Part II Search over the Web.- Path-oriented Keyword Search query over RDF.- Interactive Query Construction for Keyword Search on the SemanticWeb.- Understanding the Semantics of Keyword Queries on Relational DataWithout Accessing the Instance.- Keyword-Based Search over Semantic Data.- Semantic Link Discovery over Relational Data.- Embracing Uncertainty in Entity Linking.- The Return of the Entity-Relationship Model: Ontological Query Answering.- Linked Data Services and Semantics-enabled Mashup.- Part III Linked Data Search engines.- A Recommender System for Linked Data.- Flint: from Web Pages to Probabilistic Semantic Data.- Searching and Browsing Linked Data with SWSE.
- Footnote
- Elektronische Ausgabe unter: http://springer.r.delivery.net/r/r?2.1.Ee.2Tp.1gd0L5.C3WE8i..N.WdtM.3uq2.bW89MQ%5f%5fCYKEFOP0.
- Theme
- Semantic Web
Semantisches Umfeld in Indexierung u. Retrieval
-
Melucci, M.: Contextual search : a computational framework (2012)
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- Abstract
- The growing availability of data in electronic form, the expansion of the World Wide Web and the accessibility of computational methods for large-scale data processing have allowed researchers in Information Retrieval (IR) to design systems which can effectively and efficiently constrain search within the boundaries given by context, thus transforming classical search into contextual search. Contextual Search: A Computational Framework introduces contextual search within a computational framework based on contextual variables, contextual factors and statistical models. It describes how statistical models can process contextual variables to infer the contextual factors underlying the current search context. It also provides background to the subject by: placing it among other surveys on relevance, interaction, context, and behaviour; providing a description of the contextual variables used for implementing the statistical models which represent and predict relevance and contextual factors; and providing an overview of the evaluation methodologies and findings relevant to this subject. Contextual Search: A Computational Framework is a highly recommended read, both for beginners who are embarking on research in this area and as a useful reference for established IR researchers.
- Series
- Foundations and trends(r) in information retrieval; 6, 4/5
- Theme
- Semantisches Umfeld in Indexierung u. Retrieval
-
Rädler, K.: In Bibliothekskatalogen "googlen" : Integration von Inhaltsverzeichnissen, Volltexten und WEB-Ressourcen in Bibliothekskataloge (2004)
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- Abstract
- Ausgangslage Die Katalog-Recherchen über Internet, also von außerhalb der Bibliothek, nehmen erwartungsgemäß stark zu bzw. sind mittlerweile die Regel. Damit ist natürlich das Bedürfnis und die Notwendigkeit gewachsen, über den Titel hinaus zusätzliche inhaltliche Informationen zu erhalten, die es erlauben, die Zweckmäßigkeit wesentlich besser abschätzen zu können, eine Bestellung vorzunehmen oder vielleicht auch 50 km in die Bibliothek zu fahren, um ein Buch zu entleihen. Dieses Informationsdefizit wird zunehmend als gravierender Mangel erfahren. Inhaltsverzeichnisse referieren den Inhalt kurz und prägnant. Sie sind die erste Stelle, welche zur Relevanz-Beurteilung herangezogen wird. Fast alle relevanten Terme einer Fachbuchpublikation finden sich bereits dort. Andererseits wird immer deutlicher, dass die dem bibliothekarischen Paradigma entsprechende intellektuelle Indexierung der einzelnen dokumentarischen Einheiten mit den engsten umfassenden dokumentationssprachlichen Termen (Schlagwörter, Klassen) zwar eine notwendige, aber keinesfalls hinreichende Methode darstellt, das teuer erworbene Bibliotheksgut Information für den Benutzer in seiner spezifischen Problemstellung zu aktivieren und als Informationsdienstleistung anbieten zu können. Informationen zu sehr speziellen Fragestellungen, die oft nur in kürzeren Abschnitten (Kapitel) erörtert werden, sind derzeit nur indirekt, mit großem Zeitaufwand und oft überhaupt nicht auffindbar. Sie liegen sozusagen brach. Die Tiefe der intellektuellen Indexierung bis in einzelne inhaltliche Details zu erweitern, ist aus personellen und damit auch finanziellen Gesichtspunkten nicht vertretbar. Bibliotheken fallen deshalb in der Wahrnehmung von Informationssuchenden immer mehr zurück. Die enorme Informationsvielfalt liegt hinter dem Informations- bzw. Recherchehorizont der bibliographischen Aufnahmen im Katalog.
- Theme
- Semantisches Umfeld in Indexierung u. Retrieval
-
Gábor, K.; Zargayouna, H.; Tellier, I.; Buscaldi, D.; Charnois, T.: ¬A typology of semantic relations dedicated to scientific literature analysis (2016)
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- Content
- Vortrag, "Semantics, Analytics, Visualisation: Enhancing Scholarly Data Workshop co-located with the 25th International World Wide Web Conference April 11, 2016 - Montreal, Canada", Montreal 2016.
- Theme
- Semantisches Umfeld in Indexierung u. Retrieval
-
Brunetti, J.M.; Roberto García, R.: User-centered design and evaluation of overview components for semantic data exploration (2014)
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- 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
- Theme
- Semantic Web
Semantisches Umfeld in Indexierung u. Retrieval
-
Poynder, R.: Web research engines? (1996)
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- Abstract
- Describes the shortcomings of search engines for the WWW comparing their current capabilities to those of the first generation CD-ROM products. Some allow phrase searching and most are improving their Boolean searching. Few allow truncation, wild cards or nested logic. They are stateless, losing previous search criteria. Unlike the indexing and classification systems for today's CD-ROMs, those for Web pages are random, unstructured and of variable quality. Considers that at best Web search engines can only offer free text searching. Discusses whether automatic data classification systems such as Infoseek Ultra can overcome the haphazard nature of the Web with neural network technology, and whether Boolean search techniques may be redundant when replaced by technology such as the Euroferret search engine. However, artificial intelligence is rarely successful on huge, varied databases. Relevance ranking and automatic query expansion still use the same simple inverted indexes. Most Web search engines do nothing more than word counting. Further complications arise with foreign languages
- Source
- Information world review. 1996, no.120, S.47-48
- Theme
- Verbale Doksprachen im Online-Retrieval
Klassifikationssysteme im Online-Retrieval
Semantisches Umfeld in Indexierung u. Retrieval
-
Bergamaschi, S.; Domnori, E.; Guerra, F.; Rota, S.; Lado, R.T.; Velegrakis, Y.: Understanding the semantics of keyword queries on relational data without accessing the instance (2012)
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- Abstract
- The birth of the Web has brought an exponential growth to the amount of the information that is freely available to the Internet population, overloading users and entangling their efforts to satisfy their information needs. Web search engines such Google, Yahoo, or Bing have become popular mainly due to the fact that they offer an easy-to-use query interface (i.e., based on keywords) and an effective and efficient query execution mechanism. The majority of these search engines do not consider information stored on the deep or hidden Web [9,28], despite the fact that the size of the deep Web is estimated to be much bigger than the surface Web [9,47]. There have been a number of systems that record interactions with the deep Web sources or automatically submit queries them (mainly through their Web form interfaces) in order to index their context. Unfortunately, this technique is only partially indexing the data instance. Moreover, it is not possible to take advantage of the query capabilities of data sources, for example, of the relational query features, because their interface is often restricted from the Web form. Besides, Web search engines focus on retrieving documents and not on querying structured sources, so they are unable to access information based on concepts.
- Source
- Semantic search over the Web. Eds.: R. De Virgilio, et al
- Theme
- Semantic Web
Semantisches Umfeld in Indexierung u. Retrieval
-
Menczer, F.: Lexical and semantic clustering by Web links (2004)
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- Abstract
- Recent Web-searching and -mining tools are combining text and link analysis to improve ranking and crawling algorithms. The central assumption behind such approaches is that there is a correiation between the graph structure of the Web and the text and meaning of pages. Here I formalize and empirically evaluate two general conjectures drawing connections from link information to lexical and semantic Web content. The link-content conjecture states that a page is similar to the pages that link to it, and the link-cluster conjecture that pages about the same topic are clustered together. These conjectures are offen simply assumed to hold, and Web search tools are built an such assumptions. The present quantitative confirmation sheds light an the connection between the success of the latest Web-mining techniques and the small world topology of the Web, with encouraging implications for the design of better crawling algorithms.
- Source
- Journal of the American Society for Information Science and Technology. 55(2004) no.14, S.1261-1269
- Theme
- Semantisches Umfeld in Indexierung u. Retrieval
-
Prasad, A.R.D.; Madalli, D.P.: Faceted infrastructure for semantic digital libraries (2008)
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- Abstract
- Purpose - The paper aims to argue that digital library retrieval should be based on semantic representations and propose a semantic infrastructure for digital libraries. Design/methodology/approach - The approach taken is formal model based on subject representation for digital libraries. Findings - Search engines and search techniques have fallen short of user expectations as they do not give context based retrieval. Deploying semantic web technologies would lead to efficient and more precise representation of digital library content and hence better retrieval. Though digital libraries often have metadata of information resources which can be accessed through OAI-PMH, much remains to be accomplished in making digital libraries semantic web compliant. This paper presents a semantic infrastructure for digital libraries, that will go a long way in providing them and web based information services with products highly customised to users needs. Research limitations/implications - Here only a model for semantic infrastructure is proposed. This model is proposed after studying current user-centric, top-down models adopted in digital library service architectures. Originality/value - This paper gives a generic model for building semantic infrastructure for digital libraries. Faceted ontologies for digital libraries is just one approach. But the same may be adopted by groups working with different approaches in building ontologies to realise efficient retrieval in digital libraries.
- Footnote
- Beitrag eines Themenheftes "Digital libraries and the semantic web: context, applications and research".
- Theme
- Semantic Web
Information Gateway
Semantisches Umfeld in Indexierung u. Retrieval
-
Pahlevi, S.M.; Kitagawa, H.: Conveying taxonomy context for topic-focused Web search (2005)
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- Abstract
- Introducing context to a user query is effective to improve the search effectiveness. In this article we propose a method employing the taxonomy-based search services such as Web directories to facilitate searches in any Web search interfaces that support Boolean queries. The proposed method enables one to convey current search context an taxonomy of a taxonomy-based search service to the searches conducted with the Web search interfaces. The basic idea is to learn the search context in the form of a Boolean condition that is commonly accepted by many Web search interfaces, and to use the condition to modify the user query before forwarding it to the Web search interfaces. To guarantee that the modified query can always be processed by the Web search interfaces and to make the method adaptive to different user requirements an search result effectiveness, we have developed new fast classification learning algorithms.
- Source
- Journal of the American Society for Information Science and Technology. 56(2005) no.2, S.173-188
- Theme
- Semantisches Umfeld in Indexierung u. Retrieval
-
Horch, A.; Kett, H.; Weisbecker, A.: Semantische Suchsysteme für das Internet : Architekturen und Komponenten semantischer Suchmaschinen (2013)
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- 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
- Theme
- Semantisches Umfeld in Indexierung u. Retrieval
-
Gradmann, S.; Olensky, M.: Semantische Kontextualisierung von Museumsbeständen in Europeana (2013)
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- Abstract
- Europeana ist eine Initiative der Europäischen Kommission, die 2005 den Aufbau einer "Europäischen digitalen Bibliothek" als Teil ihrer i2010 Agenda ankündigte. Europeana soll ein gemeinsamer multilingualer Zugangspunkt zu Europas digitalem Kulturerbe und gleichzeitig mehr als "nur" eine digitale Bibliothek werden: eine offene Schnittstelle (API) für Wissenschaftsanwendungen, die ein Netzwerk von Objektsurrogaren darstellt, die semantikbasiertes Objektretrieval und - verwendung ermöglichen. Einerseits ist die semantische Kontextualisierung der digitalen Objekte eine unabdingbare Voraussetzung für effektives Information Retrieval, da aufgrund der Beschaffenheit der Öbjekte (bildlich, multimedial) deskriptive Metadaten meist nicht ausreichen, auf der anderen Seite bildet sie die Grundlage für neues Wissen. Kern geisteswissenschaftlicher Arbeit ist immer schon die Reaggregation und Interpretation kultureller Artefakte gewesen und Europeana ermöglicht nun mit (teil-)automatisierbaren, semantikbasierten Öperationen über große kulturelle Quellcorpora völlig neue Perspektiven für die digital humanities. Folglich hat Europeans das Potenzial eine Schlüsselressource der Geistes- und Kulturwissenschaften und damit Teil deren zukünftiger digitaler Arbeitsumgebungen zu werden.
- Theme
- Semantisches Umfeld in Indexierung u. Retrieval
-
Brandão, W.C.; Santos, R.L.T.; Ziviani, N.; Moura, E.S. de; Silva, A.S. da: Learning to expand queries using entities (2014)
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- Abstract
- A substantial fraction of web search queries contain references to entities, such as persons, organizations, and locations. Recently, methods that exploit named entities have been shown to be more effective for query expansion than traditional pseudorelevance feedback methods. In this article, we introduce a supervised learning approach that exploits named entities for query expansion using Wikipedia as a repository of high-quality feedback documents. In contrast with existing entity-oriented pseudorelevance feedback approaches, we tackle query expansion as a learning-to-rank problem. As a result, not only do we select effective expansion terms but we also weigh these terms according to their predicted effectiveness. To this end, we exploit the rich structure of Wikipedia articles to devise discriminative term features, including each candidate term's proximity to the original query terms, as well as its frequency across multiple article fields and in category and infobox descriptors. Experiments on three Text REtrieval Conference web test collections attest the effectiveness of our approach, with gains of up to 23.32% in terms of mean average precision, 19.49% in terms of precision at 10, and 7.86% in terms of normalized discounted cumulative gain compared with a state-of-the-art approach for entity-oriented query expansion.
- Date
- 22. 8.2014 17:07:50
- Source
- Journal of the Association for Information Science and Technology. 65(2014) no.9, S.1870-1883
- Theme
- Semantisches Umfeld in Indexierung u. Retrieval
