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  • × theme_ss:"Wissensrepräsentation"
  1. Zeng, Q.; Yu, M.; Yu, W.; Xiong, J.; Shi, Y.; Jiang, M.: Faceted hierarchy : a new graph type to organize scientific concepts and a construction method (2019) 0.07
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    Content
    Vgl.: https%3A%2F%2Faclanthology.org%2FD19-5317.pdf&usg=AOvVaw0ZZFyq5wWTtNTvNkrvjlGA.
  2. Schmitz-Esser, W.: Language of general communication and concept compatibility (1996) 0.04
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    Pages
    S.11-22
  3. Xiong, C.: Knowledge based text representations for information retrieval (2016) 0.04
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    Content
    Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Language and Information Technologies. Vgl.: https%3A%2F%2Fwww.cs.cmu.edu%2F~cx%2Fpapers%2Fknowledge_based_text_representation.pdf&usg=AOvVaw0SaTSvhWLTh__Uz_HtOtl3.
  4. Falkenberg, E.; Hesse, W.; Lindgreen, P.; Nilsson, B.E.; Oei, J.L.H.; Rolland, C.; Stamper, R.K.; Van Assche, F.J.M.; Verrijn-Stuart, A.A.; Voss, K.: FRISCO - A framework of information system concepts : the FRISCO report; final draft (1996) 0.03
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  5. Gödert, W.; Hubrich, J.; Nagelschmidt, M.: Semantic knowledge representation for information retrieval (2014) 0.03
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    Date
    23. 7.2017 13:49:22
  6. Lee, J.; Min, J.-K.; Oh, A.; Chung, C.-W.: Effective ranking and search techniques for Web resources considering semantic relationships (2014) 0.02
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  7. Zeng, M.L.; Fan, W.; Lin, X.: SKOS for an integrated vocabulary structure (2008) 0.02
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    Abstract
    In order to transfer the Chinese Classified Thesaurus (CCT) into a machine-processable format and provide CCT-based Web services, a pilot study has been conducted in which a variety of selected CCT classes and mapped thesaurus entries are encoded with SKOS. OWL and RDFS are also used to encode the same contents for the purposes of feasibility and cost-benefit comparison. CCT is a collected effort led by the National Library of China. It is an integration of the national standards Chinese Library Classification (CLC) 4th edition and Chinese Thesaurus (CT). As a manually created mapping product, CCT provides for each of the classes the corresponding thesaurus terms, and vice versa. The coverage of CCT includes four major clusters: philosophy, social sciences and humanities, natural sciences and technologies, and general works. There are 22 main-classes, 52,992 sub-classes and divisions, 110,837 preferred thesaurus terms, 35,690 entry terms (non-preferred terms), and 59,738 pre-coordinated headings (Chinese Classified Thesaurus, 2005) Major challenges of encoding this large vocabulary comes from its integrated structure. CCT is a result of the combination of two structures (illustrated in Figure 1): a thesaurus that uses ISO-2788 standardized structure and a classification scheme that is basically enumerative, but provides some flexibility for several kinds of synthetic mechanisms Other challenges include the complex relationships caused by differences of granularities of two original schemes and their presentation with various levels of SKOS elements; as well as the diverse coordination of entries due to the use of auxiliary tables and pre-coordinated headings derived from combining classes, subdivisions, and thesaurus terms, which do not correspond to existing unique identifiers. The poster reports the progress, shares the sample SKOS entries, and summarizes problems identified during the SKOS encoding process. Although OWL Lite and OWL Full provide richer expressiveness, the cost-benefit issues and the final purposes of encoding CCT raise questions of using such approaches.
    Source
    Metadata for semantic and social applications : proceedings of the International Conference on Dublin Core and Metadata Applications, Berlin, 22 - 26 September 2008, DC 2008: Berlin, Germany / ed. by Jane Greenberg and Wolfgang Klas
  8. Stojanovic, N.: Ontology-based Information Retrieval : methods and tools for cooperative query answering (2005) 0.02
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    Content
    Vgl.: http%3A%2F%2Fdigbib.ubka.uni-karlsruhe.de%2Fvolltexte%2Fdocuments%2F1627&ei=tAtYUYrBNoHKtQb3l4GYBw&usg=AFQjCNHeaxKkKU3-u54LWxMNYGXaaDLCGw&sig2=8WykXWQoDKjDSdGtAakH2Q&bvm=bv.44442042,d.Yms.
  9. Semantic knowledge and semantic representations (1995) 0.02
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    Content
    G. Gainotti, M.C. Silveri, A. Daniele, L. Giustolisi, Neuroanatomical Correlates of Category-specific Semantic Disorders: A Critical Survey. J. S. Snowden, H. L. Griffiths, D. Neary, Autobiographical Experience and Word Meaning. L. Cipolotti, E.K. Warrington, Towards a Unitary Account of Access Dysphasia: A Single Case Study. E. Forde, G.W. Humphreys, Refractory Semantics in Global Aphasia: On Semantic Organisation and the Access-Storage Distinction in Neuropsychology. A. E. Hillis, A. Caramazza, The Compositionality of Lexical Semantic Representations: Clues from Semantic Errors in Object Naming. H.E. Moss, L.K. Tyler, Investigating Semantic Memory Impairments: The Contribution of Semantic Priming. K.R. Laws, S.A. Humber, D.J.C. Ramsey, R.A. McCarthy, Probing Sensory and Associative Semantics for Animals and Objects in Normal Subjects. K.R. Laws, J.J. Evans, J. R. Hodges, R.A. McCarthy, Naming without Knowing and Appearance without Associations: Evidence for Constructive Processes in Semantic Memory? J. Powell, J. Davidoff, Selective Impairments of Object-knowledge in a Case of Acquired Cortical Blindness. J.R. Hodges, N. Graham, K. Patterson, Charting the Progression in Semantic Dementia: Implications for the Organisation of Semantic Memory. E. Funnell, Objects and Properties: A Study of the Breakdown of Semantic Memory. L.J. Tippett, S. McAuliffe, M. J. Farrar, Preservation of Categorical Knowledge in Alzheimer's Disease: A Computational Account. G. W. Humphreys, C. Lamote, T.J. Lloyd-Jones, An Interactive Activation Approach to Object Processing: Effects of Structural Similarity, Name Frequency, and Task in Normality and Pathology.
  10. Hocker, J.; Schindler, C.; Rittberger, M.: Participatory design for ontologies : a case study of an open science ontology for qualitative coding schemas (2020) 0.02
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    Date
    20. 1.2015 18:30:22
  11. Wildgen, W.: Semantischer Realismus und Antirealismus in der Sprachtheorie (1992) 0.01
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  12. Ulrich, W.: Simple Knowledge Organisation System (2007) 0.01
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  13. Franzen, W.: Idealismus statt Realismus? : Realismus plus Skeptizismus! (1992) 0.01
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  14. Hesse, W.: Informationsbegriff in Natur- und Kulturwissenschaften : Vorlesung/Seminar im WS 2004/05 (2004) 0.01
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  15. Weller, K.: Ontologien (2013) 0.01
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    Source
    Grundlagen der praktischen Information und Dokumentation. Handbuch zur Einführung in die Informationswissenschaft und -praxis. 6., völlig neu gefaßte Ausgabe. Hrsg. von R. Kuhlen, W. Semar u. D. Strauch. Begründet von Klaus Laisiepen, Ernst Lutterbeck, Karl-Heinrich Meyer-Uhlenried
  16. Wong, W.; Liu, W.; Bennamoun, M.: Ontology learning from text : a look back and into the future (2010) 0.01
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  17. Kottmann, N.; Studer, T.: Improving semantic query answering (2006) 0.01
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    Abstract
    The retrieval problem is one of the main reasoning tasks for knowledge base systems. Given a knowledge base K and a concept C, the retrieval problem consists of finding all individuals a for which K logically entails C(a). We present an approach to answer retrieval queries over (a restriction of) OWL ontologies. Our solution is based on reducing the retrieval problem to a problem of evaluating an SQL query over a database constructed from the original knowledge base. We provide complete answers to retrieval problems. Still, our system performs very well as is shown by a standard benchmark.
  18. Schubert, C.; Kinkeldey, C.; Reich, H.: Handbuch Datenbankanwendung zur Wissensrepräsentation im Verbundprojekt DeCOVER (2006) 0.01
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  19. Schmitz-Esser, W.: Formalizing terminology-based knowledge for an ontology independently of a particular language (2008) 0.01
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    Abstract
    Last word ontological thought and practice is exemplified on an axiomatic framework [a model for an Integrative Cross-Language Ontology (ICLO), cf. Poli, R., Schmitz-Esser, W., forthcoming 2007] that is highly general, based on natural language, multilingual, can be implemented as topic maps and may be openly enhanced by software available for particular languages. Basics of ontological modelling, conditions for construction and maintenance, and the most salient points in application are addressed, such as cross-language text mining and knowledge generation. The rationale is to open the eyes for the tremendous potential of terminology-based ontologies for principled Knowledge Organization and the interchange and reuse of formalized knowledge.
  20. Blanco, E.; Moldovan, D.: ¬A model for composing semantic relations (2011) 0.01
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    Content
    Vgl.: http://aclweb.org/anthology-new/W/W11/W11-0106.pdf. Vgl. für den Proceedingsband: http://aclweb.org/anthology-new/W/W11/W11-0100.pdf, bzw.: http://www.meaningfactory.com/bos/pubs/BosPulman2011.pdf.

Years

Languages

  • e 110
  • d 42
  • pt 1
  • sp 1
  • More… Less…

Types

  • a 114
  • el 37
  • m 10
  • x 8
  • s 5
  • r 4
  • n 2
  • p 1
  • More… Less…

Subjects