Search (220 results, page 11 of 11)

  • × theme_ss:"Wissensrepräsentation"
  • × year_i:[2000 TO 2010}
  1. Ibekwe-SanJuan, F.: Constructing and maintaining knowledge organization tools : a symbolic approach (2006) 0.00
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    Abstract
    Purpose - To propose a comprehensive and semi-automatic method for constructing or updating knowledge organization tools such as thesauri. Design/methodology/approach - The paper proposes a comprehensive methodology for thesaurus construction and maintenance combining shallow NLP with a clustering algorithm and an information visualization interface. The resulting system TermWatch, extracts terms from a text collection, mines semantic relations between them using complementary linguistic approaches and clusters terms using these semantic relations. The clusters are mapped onto a 2D using an integrated visualization tool. Findings - The clusters formed exhibit the different relations necessary to populate a thesaurus or ontology: synonymy, generic/specific and relatedness. The clusters represent, for a given term, its closest neighbours in terms of semantic relations. Practical implications - This could change the way in which information professionals (librarians and documentalists) undertake knowledge organization tasks. TermWatch can be useful either as a starting point for grasping the conceptual organization of knowledge in a huge text collection without having to read the texts, then actually serving as a suggestive tool for populating different hierarchies of a thesaurus or an ontology because its clusters are based on semantic relations. Originality/value - This lies in several points: combined use of linguistic relations with an adapted clustering algorithm, which is scalable and can handle sparse data. The paper proposes a comprehensive approach to semantic relations acquisition whereas existing studies often use one or two approaches. The domain knowledge maps produced by the system represents an added advantage over existing approaches to automatic thesaurus construction in that clusters are formed using semantic relations between domain terms. Thus while offering a meaningful synthesis of the information contained in the original corpus through clustering, the results can be used for knowledge organization tasks (thesaurus building and ontology population) The system also constitutes a platform for performing several knowledge-oriented tasks like science and technology watch, textmining, query refinement.
  2. Kavouras, M.; Kokla, M.: Theories of geographic concepts : ontological approaches to semantic integration (2008) 0.00
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    Content
    Introduction -- Geographic ontologies -- Semantic interoperability -- Ontologies -- Concepts -- Semantics -- Knowledge representation instruments -- Formal concept analysis -- Conceptual graphs -- Channel theory -- Description logics -- Natural language and semantic information extraction -- Similarity -- Integration framework -- Integration approaches -- Integration guidelines -- Epilogue.
    LCSH
    Geographic information systems
    Subject
    Geographic information systems
  3. Dobrev, P.; Kalaydjiev, O.; Angelova, G.: From conceptual structures to semantic interoperability of content (2007) 0.00
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    Source
    Conceptual structures: knowledge architectures for smart applications: 15th International Conference on Conceptual Structures, ICCS 2007, Sheffield, UK, July 22 - 27, 2007 ; proceedings. Eds.: U. Priss u.a
  4. Smolnik, S.; Nastansky, L.: K-Discovery : Identifikation von verteilten Wissensstrukturen in einer prozessorientierten Groupware-Umgebung (2004) 0.00
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    Abstract
    Verschiedene Szenarien in Groupware-basierten Umgebungen verdeutlichen die Probleme, Wissensstrukturen im Allgemeinen und organisationale Wissensstrukturen im Speziellen zu identifizieren. Durch den Einsatz von Topic Maps, definiert im ISOStandard "ISO/IEC 13250 Topic Maps", in Groupware-basierten organisationalen Wissensbasen wird es möglich, die Lücke zwischen Wissen und Information zu schließen. In diesem Beitrag werden die Ziele des Forschungsprojektes K-Discovery - der Einsatz von Topic Maps in Groupware-basierten Umgebungen - vorgestellt. Aufbauend auf diesen Zielen wird ein Architekturmodell sowie zwei Implementationsansätze präsentiert, in dem durch den Einsatz von Topic Maps in einer prozessorientierten GroupwareUmgebung Wissensstrukturen generiert werden. Der Beitrag schließt mit einigen abschließenden Ausführungen.
  5. Kreissig, B.: ¬Der neue Brockhaus : Einsatz von Sprachtechnologie und Wissensnetz (2006) 0.00
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    Source
    Information - Wissenschaft und Praxis. 57(2006) H.6/7, S.337-342
  6. Haase, P.; Tempich, C.: Wissensaustausch mit semantikbasierten Peer-to-Peer-Systemen (2006) 0.00
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    Source
    Information - Wissenschaft und Praxis. 57(2006) H.6/7, S.321-328
  7. Leidig, T.: Ontologien für die Informationsintegration in Geschäftsanwendungen (2006) 0.00
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    Source
    Information - Wissenschaft und Praxis. 57(2006) H.6/7, S.347-350
  8. Dirsch-Weigand, A.; Schmidt, I.: ConWeaver : Automatisierte Wissensnetze für die semantische Suche (2006) 0.00
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    Source
    Information - Wissenschaft und Praxis. 57(2006) H.6/7, S.367-371
  9. Miller, R.: Three problems in logic-based knowledge representation (2006) 0.00
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    Footnote
    Beitrag in einem Themenheft: UK library & information schools: UCL SLAIS
  10. Qin, J.; Creticos, P.; Hsiao, W.Y.: Adaptive modeling of workforce domain knowledge (2006) 0.00
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    Abstract
    Workforce development is a multidisciplinary domain in which policy, laws and regulations, social services, training and education, and information technology and systems are heavily involved. It is essential to have a semantic base accepted by the workforce development community for knowledge sharing and exchange. This paper describes how such a semantic base-the Workforce Open Knowledge Exchange (WOKE) Ontology-was built by using the adaptive modeling approach. The focus of this paper is to address questions such as how ontology designers should extract and model concepts obtained from different sources and what methodologies are useful along the steps of ontology development. The paper proposes a methodology framework "adaptive modeling" and explains the methodology through examples and some lessons learned from the process of developing the WOKE ontology.
  11. Kruk, S.R.; Westerki, A.; Kruk, E.: Architecture of semantic digital libraries (2009) 0.00
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    Theme
    Information Gateway
  12. Assem, M. van; Gangemi, A.; Schreiber, G.: Conversion of WordNet to a standard RDF/OWL representation (2006) 0.00
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    Abstract
    This paper presents an overview of the work in progress at the W3C to produce a standard conversion of WordNet to the RDF/OWL representation language in use in the SemanticWeb community. Such a standard representation is useful to provide application developers a high-quality resource and to promote interoperability. Important requirements in this conversion process are that it should be complete and should stay close to WordNet's conceptual model. The paper explains the steps taken to produce the conversion and details design decisions such as the composition of the class hierarchy and properties, the addition of suitable OWL semantics and the chosen format of the URIs. Additional topics include a strategy to incorporate OWL and RDFS semantics in one schema such that both RDF(S) infrastructure and OWL infrastructure can interpret the information correctly, problems encountered in understanding the Prolog source files and the description of the two versions that are provided (Basic and Full) to accommodate different usages of WordNet.
  13. Krötzsch, M.; Hitzler, P.; Ehrig, M.; Sure, Y.: Category theory in ontology research : concrete gain from an abstract approach (2004 (?)) 0.00
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    Abstract
    The focus of research on representing and reasoning with knowledge traditionally has been on single specifications and appropriate inference paradigms to draw conclusions from such data. Accordingly, this is also an essential aspect of ontology research which has received much attention in recent years. But ontologies introduce another new challenge based on the distributed nature of most of their applications, which requires to relate heterogeneous ontological specifications and to integrate information from multiple sources. These problems have of course been recognized, but many current approaches still lack the deep formal backgrounds on which todays reasoning paradigms are already founded. Here we propose category theory as a well-explored and very extensive mathematical foundation for modelling distributed knowledge. A particular prospect is to derive conclusions from the structure of those distributed knowledge bases, as it is for example needed when merging ontologies
  14. Beierle, C.; Kern-Isberner, G.: Methoden wissensbasierter Systeme : Grundlagen, Algorithmen, Anwendungen (2008) 0.00
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    LCSH
    Information theory
    Subject
    Information theory
  15. Endres-Niggemeyer, B.; Jauris-Heipke, S.; Pinsky, S.M.; Ulbricht, U.: Wissen gewinnen durch Wissen : Ontologiebasierte Informationsextraktion (2006) 0.00
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    Source
    Information - Wissenschaft und Praxis. 57(2006) H.6/7, S.301-308
  16. Forscher erschließen Inhalte von Wiki-Webseiten (2006) 0.00
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    Series
    Foyer: Information digital
  17. Frâncu, V.: Subjects in FRBR and poly-hierarchical thesauri as possible knowledge organization tools (2006) 0.00
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    Abstract
    The paper presents the possibilities offered by poly-hierarchical conceptual structures as knowledge organizers, starting from the FRBR entity-relation model. Of the ten entities defined in the FRBR model, the first six, the bibliographic entities plus those representing the intellectual responsibilities, are clearly described by their attributes. Unlike those the other four representing subjects in their own right: concepts, objects, events and places only have the term for the entity as attribute. Subjects have to be more extensively treated in a revised version of the FRBR model, with particular attention for the semantic and syntactic relations between concepts representing subjects themselves and between these concepts and terms used in indexing. The conceptual model of poly-hierarchical thesauri is regarded as an entity-relation model, one capable to accommodate both conceptually and relationally subjects in the bibliographic universe. Polyhierarchical thesauri are considered as frameworks or templates meant to enhance knowledge representation and to support information searching.
  18. Oliveira Lima, G.A.B. de: Hypertext model - HTXM : a model for hypertext organization of documents (2008) 0.00
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    Content
    This article reports an applied research on the construction and implementation of a semantically structured conceptual prototype to help in the organization and representation of human knowledge in hypertextual systems, based on four references: the Facet Analysis Theory (FAT), the Conceptual Map Theory, semantic structure of hypertext links and the technical guidelines of the Associacao Brasileira de Normas Técnicas (ABNT). This prototype, called Modelo Hipertextual para Organizacao de Documentos (MHTX) - Model For Hypertext Organization of Documents HTXM - is formed by a semantic structure called Conceptual Map (CM) and Expanded Summary (ES), the latter based on the summary of a selected doctoral thesis to which access points were designed. In the future, this prototype maybe used to implement a digital libraty called BTDECI - UFMG (Biblioteca de Teses e Dissertacöes do Programa de Pós-Graduacao da Escola de Ciência da Informacao da UFMG - Library of Theses and Dissertations of the Graduate Program of School of Information Science of Universidade Federal de Minas Gerais).
  19. Iglesias, E.; Hye, S.S.: Topic maps and the ILS : an undelivered promise (2008) 0.00
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    Footnote
    Beitrag in einem Themenheft "Information organization futures"
  20. Teutsch, K.: ¬Die Welt ist doch eine Scheibe : Google-Herausforderer eyePlorer (2009) 0.00
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    Content
    Eine neue visuelle Ordnung Martin Hirsch ist der Enkel des Nobelpreisträgers Werner Heisenberg. Außerdem ist er Hirnforscher und beschäftigt sich seit Jahren mit der Frage: Was tut mein Kopf eigentlich, während ich hirnforsche? Ralf von Grafenstein ist Marketingexperte und spezialisiert auf Dienstleistungen im Internet. Zusammen haben sie also am 1. Dezember 2008 eine Firma in Berlin gegründet, deren Heiliger Gral besagte Scheibe ist, auf der - das ist die Idee - bald die ganze Welt, die Internetwelt zumindest, Platz finden soll. Die Scheibe heißt eyePlorer, was sich als Aufforderung an ihre Nutzer versteht. Die sollen auf einer neuartigen, eben scheibenförmigen Plattform die unermesslichen Datensätze des Internets in eine neue visuelle Ordnung bringen. Der Schlüssel dafür, da waren sich Hirsch und von Grafenstein sicher, liegt in der Hirnforschung, denn warum nicht die assoziativen Fähigkeiten des Menschen auf Suchmaschinen übertragen? Anbieter wie Google lassen von solchen Ansätzen bislang die Finger. Hier setzt man dafür auf Volltextprogramme, also sprachbegabte Systeme, die letztlich aber, genau wie die Schlagwortsuche, nur zu opak gerankten Linksammlungen führen. Weiter als auf Seite zwei des Suchergebnisses wagt sich der träge Nutzer meistens nicht vor. Weil sie niemals wahrgenommen wird, fällt eine Menge möglicherweise kostbare Information unter den Tisch.

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