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  • × classification_ss:"54.72 / Künstliche Intelligenz"
  1. Fensel, D.: Ontologies : a silver bullet for knowledge management and electronic commerce (2001) 0.05
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    Abstract
    Ontologies have been developed and investigated for quite a while now in artificial intelligente and natural language processing to facilitate knowledge sharing and reuse. More recently, the notion of ontologies has attracied attention from fields such as intelligent information integration, cooperative information systems, information retrieval, electronic commerce, and knowledge management. The author systematicaliy introduces the notion of ontologies to the non-expert reader and demonstrates in detail how to apply this conceptual framework for improved intranet retrieval of corporate information and knowledge and for enhanced Internet-based electronic commerce. In the second part of the book, the author presents a more technical view an emerging Web standards, like XML, RDF, XSL-T, or XQL, allowing for structural and semantic modeling and description of data and information.
    RSWK
    World Wide Web / Datenbanksystem / Abfrage / Inferenz <Künstliche Intelligenz>
    Subject
    World Wide Web / Datenbanksystem / Abfrage / Inferenz <Künstliche Intelligenz>
  2. Multimedia content and the Semantic Web : methods, standards, and tools (2005) 0.01
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    Classification
    006.7 22
    Date
    7. 3.2007 19:30:22
    DDC
    006.7 22
    Footnote
    Rez. in: JASIST 58(2007) no.3, S.457-458 (A.M.A. Ahmad): "The concept of the semantic web has emerged because search engines and text-based searching are no longer adequate, as these approaches involve an extensive information retrieval process. The deployed searching and retrieving descriptors arc naturally subjective and their deployment is often restricted to the specific application domain for which the descriptors were configured. The new era of information technology imposes different kinds of requirements and challenges. Automatic extracted audiovisual features are required, as these features are more objective, domain-independent, and more native to audiovisual content. This book is a useful guide for researchers, experts, students, and practitioners; it is a very valuable reference and can lead them through their exploration and research in multimedia content and the semantic web. The book is well organized, and introduces the concept of the semantic web and multimedia content analysis to the reader through a logical sequence from standards and hypotheses through system examples, presenting relevant tools and methods. But in some chapters readers will need a good technical background to understand some of the details. Readers may attain sufficient knowledge here to start projects or research related to the book's theme; recent results and articles related to the active research area of integrating multimedia with semantic web technologies are included. This book includes full descriptions of approaches to specific problem domains such as content search, indexing, and retrieval. This book will be very useful to researchers in the multimedia content analysis field who wish to explore the benefits of emerging semantic web technologies in applying multimedia content approaches. The first part of the book covers the definition of the two basic terms multimedia content and semantic web. The Moving Picture Experts Group standards MPEG7 and MPEG21 are quoted extensively. In addition, the means of multimedia content description are elaborated upon and schematically drawn. This extensive description is introduced by authors who are actively involved in those standards and have been participating in the work of the International Organization for Standardization (ISO)/MPEG for many years. On the other hand, this results in bias against the ad hoc or nonstandard tools for multimedia description in favor of the standard approaches. This is a general book for multimedia content; more emphasis on the general multimedia description and extraction could be provided.
    The final part of the book discusses research in multimedia content management systems and the semantic web, and presents examples and applications for semantic multimedia analysis in search and retrieval systems. These chapters describe example systems in which current projects have been implemented, and include extensive results and real demonstrations. For example, real case scenarios such as ECommerce medical applications and Web services have been introduced. Topics in natural language, speech and image processing techniques and their application for multimedia indexing, and content-based retrieval have been elaborated upon with extensive examples and deployment methods. The editors of the book themselves provide the readers with a chapter about their latest research results on knowledge-based multimedia content indexing and retrieval. Some interesting applications for multimedia content and the semantic web are introduced. Applications that have taken advantage of the metadata provided by MPEG7 in order to realize advance-access services for multimedia content have been provided. The applications discussed in the third part of the book provide useful guidance to researchers and practitioners properly planning to implement semantic multimedia analysis techniques in new research and development projects in both academia and industry. A fourth part should be added to this book: performance measurements for integrated approaches of multimedia analysis and the semantic web. Performance of the semantic approach is a very sophisticated issue and requires extensive elaboration and effort. Measuring the semantic search is an ongoing research area; several chapters concerning performance measurement and analysis would be required to adequately cover this area and introduce it to readers."
    LCSH
    Information storage and retrieval systems
    RSWK
    Semantic Web / Multimedia / Automatische Indexierung / Information Retrieval
    Subject
    Semantic Web / Multimedia / Automatische Indexierung / Information Retrieval
    Information storage and retrieval systems
  3. Social information retrieval systems : emerging technologies and applications for searching the Web effectively (2008) 0.00
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    Abstract
    This book provides relevant content in the areas of information retrieval systems, services, and research; covering topics such as social tagging, collaborative querying, social network analysis, subjective relevance judgments, and collaborative filtering. Answering the increasing demand for authoritative resources on Internet technologies, this will make an indispensable addition to any library collection
    Content
    Inhalt Collaborating to search effectively in different searcher modes through cues and specialty search / Naresh Kumar Agarwal and Danny C.C. Poo -- Collaborative querying using a hybrid content and results-based approach / Chandrani Sinha Ray ... [et al.] -- Collaborative classification for group-oriented organization of search results / Keiichi Nakata and Amrish Singh -- A case study of use-centered descriptions : archival descriptions of what can be done with a collection / Richard Butterworth -- Metadata for social recommendations : storing, sharing, and reusing evaluations of learning resources / Riina Vuorikari, Nikos Manouselis, and Erik Duval -- Social network models for enhancing reference-based search engine rankings / Nikolaos Korfiatis ... [et al.] -- From PageRank to social rank : authority-based retrieval in social information spaces / Sebastian Marius Kirsch ... [et al.] -- Adaptive peer-to-peer social networks for distributed content-based Web search / Le-Shin Wu ... [et al.] -- The ethics of social information retrieval / Brendan Luyt and Chu Keong Lee -- The social context of knowledge / Daniel Memmi -- Social information seeking in digital libraries / George Buchanan and Annika Hinze -- Relevant intra-actions in networked environments / Theresa Dirndorfer Anderson -- Publication and citation analysis as a tool for information retrieval / Ronald Rousseau -- Personalized information retrieval in a semantic-based learning environment / Antonella Carbonaro and Rodolfo Ferrini -- Multi-agent tourism system (MATS) / Soe Yu Maw and Myo-Myo Naing -- Hybrid recommendation systems : a case study on the movies domain / Konstantinos Markellos ... [et al.].
    LCSH
    Information storage and retrieval systems
    Information retrieval
    RSWK
    Information Retrieval / World Wide Web / Suchmaschine
    Subject
    Information storage and retrieval systems
    Information retrieval
    Information Retrieval / World Wide Web / Suchmaschine
  4. Hermans, J.: Ontologiebasiertes Information Retrieval für das Wissensmanagement (2008) 0.00
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    Abstract
    Unternehmen sehen sich heutzutage regelmäßig der Herausforderung gegenübergestellt, aus umfangreichen Mengen an Dokumenten schnell relevante Informationen zu identifizieren. Dabei zeigt sich jedoch, dass Suchverfahren, die lediglich syntaktische Abgleiche von Informationsbedarfen mit potenziell relevanten Dokumenten durchführen, häufig nicht die an sie gestellten Erwartungen erfüllen. Viel versprechendes Potenzial bietet hier der Einsatz von Ontologien für das Information Retrieval. Beim ontologiebasierten Information Retrieval werden Ontologien eingesetzt, um Wissen in einer Form abzubilden, die durch Informationssysteme verarbeitet werden kann. Eine Berücksichtigung des so explizierten Wissens durch Suchalgorithmen führt dann zu einer optimierten Deckung von Informationsbedarfen. Jan Hermans stellt in seinem Buch ein adaptives Referenzmodell für die Entwicklung von ontologiebasierten Information Retrieval-Systemen vor. Zentrales Element seines Modells ist die einsatzkontextspezifische Adaption des Retrievalprozesses durch bewährte Techniken, die ausgewählte Aspekte des ontologiebasierten Information Retrievals bereits effektiv und effizient unterstützen. Die Anwendung des Referenzmodells wird anhand eines Fallbeispiels illustriert, bei dem ein Information Retrieval-System für die Suche nach Open Source-Komponenten entwickelt wird. Das Buch richtet sich gleichermaßen an Dozenten und Studierende der Wirtschaftsinformatik, Informatik und Betriebswirtschaftslehre sowie an Praktiker, die die Informationssuche im Unternehmen verbessern möchten. Jan Hermans, Jahrgang 1978, studierte Wirtschaftsinformatik an der Westfälischen Wilhelms-Universität in Münster. Seit 2003 war er als Wissenschaftlicher Mitarbeiter am European Research Center for Information Systems der WWU Münster tätig. Seine Forschungsschwerpunkte lagen in den Bereichen Wissensmanagement und Information Retrieval. Im Mai 2008 erfolgte seine Promotion zum Doktor der Wirtschaftswissenschaften.
    RSWK
    Information Retrieval / Ontologie <Wissensverarbeitung> / Wissensmanagement
    Subject
    Information Retrieval / Ontologie <Wissensverarbeitung> / Wissensmanagement
  5. Handbuch der Künstlichen Intelligenz (2003) 0.00
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    Date
    21. 3.2008 19:10:22
  6. Information visualization in data mining and knowledge discovery (2002) 0.00
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    Date
    23. 3.2008 19:10:22
    RSWK
    Information Retrieval (BVB)
    Subject
    Information Retrieval (BVB)
  7. Hüsken, P.: Informationssuche im Semantic Web : Methoden des Information Retrieval für die Wissensrepräsentation (2006) 0.00
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    Abstract
    Das Semantic Web bezeichnet ein erweitertes World Wide Web (WWW), das die Bedeutung von präsentierten Inhalten in neuen standardisierten Sprachen wie RDF Schema und OWL modelliert. Diese Arbeit befasst sich mit dem Aspekt des Information Retrieval, d.h. es wird untersucht, in wie weit Methoden der Informationssuche sich auf modelliertes Wissen übertragen lassen. Die kennzeichnenden Merkmale von IR-Systemen wie vage Anfragen sowie die Unterstützung unsicheren Wissens werden im Kontext des Semantic Web behandelt. Im Fokus steht die Suche nach Fakten innerhalb einer Wissensdomäne, die entweder explizit modelliert sind oder implizit durch die Anwendung von Inferenz abgeleitet werden können. Aufbauend auf der an der Universität Duisburg-Essen entwickelten Retrievalmaschine PIRE wird die Anwendung unsicherer Inferenz mit probabilistischer Prädikatenlogik (pDatalog) implementiert.
    Footnote
    Zugl.: Dortmund, Univ., Dipl.-Arb., 2006 u.d.T.: Hüsken, Peter: Information-Retrieval im Semantic-Web.
    RSWK
    Information Retrieval / Semantic Web
    Subject
    Information Retrieval / Semantic Web
  8. Stuckenschmidt, H.; Harmelen, F. van: Information sharing on the semantic web (2005) 0.00
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    LCSH
    Ontologies (Information retrieval)
    RSWK
    Semantic Web / Ontologie <Wissensverarbeitung> / Information Retrieval / Verteilung / Metadaten / Datenintegration
    Subject
    Semantic Web / Ontologie <Wissensverarbeitung> / Information Retrieval / Verteilung / Metadaten / Datenintegration
    Ontologies (Information retrieval)
  9. Survey of text mining : clustering, classification, and retrieval (2004) 0.00
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    LCSH
    Data mining ; Information retrieval
    Subject
    Data mining ; Information retrieval
  10. Schoenhoff, D.M.: ¬The barefoot expert : the interface of computerized knowledge systems and indigenous knowledge systems (1993) 0.00
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    RSWK
    Wissensbasiertes System (GBV)
    Subject
    Wissensbasiertes System (GBV)
  11. Hüttenegger, G.: Open Source Knowledge Management [Open-source-knowledge-Management] (2006) 0.00
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    Content
    Inhalt: Definitionen von Knowledge, Knowledge Management und Open Source.- Vision eines Knowledge Management- (KM-) Systems.- Vorhandene Open-Source-Basis.- Technische Basis.- Start mit einem Groupware System.- Alternativ Start mit einem Content-Management-System.- Einbinden von Groupware oder CMS bzw. Erweitern um DMS.- Weiterer Ausbau.- Zusammenfassungen, Abschluss und Ausblick.- Literaturverzeichnis.- Index.
  12. Handbook on ontologies (2004) 0.00
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    RSWK
    Semantic Web / Wissensbasiertes System / Ontologie <Wissensverarbeitung> / Aufsatzsammlung
    Subject
    Semantic Web / Wissensbasiertes System / Ontologie <Wissensverarbeitung> / Aufsatzsammlung
  13. Beierle, C.; Kern-Isberner, G.: Methoden wissensbasierter Systeme : Grundlagen, Algorithmen, Anwendungen (2008) 0.00
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    RSWK
    Wissensbasiertes System / Lehrbuch
    Subject
    Wissensbasiertes System / Lehrbuch
  14. Erbarth, M.: Wissensrepräsentation mit semantischen Netzen : Grundlagen mit einem Anwendungsbeispiel für das Multi-Channel-Publishing (2006) 0.00
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    Abstract
    "Wir ertrinken in Informationen, aber uns dürstet nach Wissen." Trendforscher John Naisbitt drückt hiermit aus, dass es dem Menschen heute nicht mehr möglich ist die Informationsflut, die sich über ihn ergießt, effizient zu verwerten. Er lebt in einer globalisierten Welt mit einem vielfältigen Angebot an Medien, wie Presse, Radio, Fernsehen und dem Internet. Die Problematik der mangelnden Auswertbarkeit von großen Informationsmengen ist dabei vor allem im Internet akut. Die Quantität, Verbreitung, Aktualität und Verfügbarkeit sind die großen Vorteile des World Wide Web (WWW). Die Probleme liegen in der Qualität und Dichte der Informationen. Das Information Retrieval muss effizienter gestaltet werden, um den wirtschaftlichen und kulturellen Nutzen einer vernetzten Welt zu erhalten.Matthias Erbarth beleuchtet zunächst genau diesen Themenkomplex, um im Anschluss ein Format für elektronische Dokumente, insbesondere kommerzielle Publikationen, zu entwickeln. Dieses Anwendungsbeispiel stellt eine semantische Inhaltsbeschreibung mit Metadaten mittels XML vor, wobei durch Nutzung von Verweisen und Auswertung von Zusammenhängen insbesondere eine netzförmige Darstellung berücksichtigt wird.
  15. Semantic digital libraries (2009) 0.00
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    Abstract
    Libraries have always been an inspiration for the standards and technologies developed by semantic web activities. However, except for the Dublin Core specification, semantic web and social networking technologies have not been widely adopted and further developed by major digital library initiatives and projects. Yet semantic technologies offer a new level of flexibility, interoperability, and relationships for digital repositories. Kruk and McDaniel present semantic web-related aspects of current digital library activities, and introduce their functionality; they show examples ranging from general architectural descriptions to detailed usages of specific ontologies, and thus stimulate the awareness of researchers, engineers, and potential users of those technologies. Their presentation is completed by chapters on existing prototype systems such as JeromeDL, BRICKS, and Greenstone, as well as a look into the possible future of semantic digital libraries. This book is aimed at researchers and graduate students in areas like digital libraries, the semantic web, social networks, and information retrieval. This audience will benefit from detailed descriptions of both today's possibilities and also the shortcomings of applying semantic web technologies to large digital repositories of often unstructured data.
  16. Spinning the Semantic Web : bringing the World Wide Web to its full potential (2003) 0.00
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    Abstract
    As the World Wide Web continues to expand, it becomes increasingly difficult for users to obtain information efficiently. Because most search engines read format languages such as HTML or SGML, search results reflect formatting tags more than actual page content, which is expressed in natural language. Spinning the Semantic Web describes an exciting new type of hierarchy and standardization that will replace the current "Web of links" with a "Web of meaning." Using a flexible set of languages and tools, the Semantic Web will make all available information - display elements, metadata, services, images, and especially content - accessible. The result will be an immense repository of information accessible for a wide range of new applications. This first handbook for the Semantic Web covers, among other topics, software agents that can negotiate and collect information, markup languages that can tag many more types of information in a document, and knowledge systems that enable machines to read Web pages and determine their reliability. The truly interdisciplinary Semantic Web combines aspects of artificial intelligence, markup languages, natural language processing, information retrieval, knowledge representation, intelligent agents, and databases.
  17. Social Semantic Web : Web 2.0, was nun? (2009) 0.00
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    Footnote
    Vgl.: http://www.springer.com/computer/database+management+%26+information+retrieval/book/978-3-540-72215-1.

Languages

  • e 10
  • d 6

Types

  • m 17
  • s 8

Subjects

Classifications