Search (118 results, page 1 of 6)

  • × theme_ss:"Wissensrepräsentation"
  1. Hanke, P.; Mandl, T.; Womser-Hacker, C.: ¬Ein "Virtuelles Bibliotheksregal" für die Informationswissenschaft als Anwendungsfall semantischer Heterogenität (2002) 0.07 
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    Information und Mobilität: Optimierung und Vermeidung von Mobilität durch Information. Proceedings des 8. Internationalen Symposiums für Informationswissenschaft (ISI 2002), 7.-10.10.2002, Regensburg. Hrsg.: Rainer Hammwöhner, Christian Wolff, Christa Womser-Hacker
  2. Harbig, D.; Schneider, R.: Ontology Learning im Rahmen von MyShelf (2006) 0.05 
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    Effektive Information Retrieval Verfahren in Theorie und Praxis: ausgewählte und erweiterte Beiträge des Vierten Hildesheimer Evaluierungs- und Retrievalworkshop (HIER 2005), Hildesheim, 20.7.2005. Hrsg.: T. Mandl u. C. Womser-Hacker
  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. 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
  5. 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) 0.02 
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    Content
    Vgl.: https%3A%2F%2Faclanthology.org%2FD19-5317.pdf&usg=AOvVaw0ZZFyq5wWTtNTvNkrvjlGA.
  6. Kottmann, N.; Studer, T.: Improving semantic query answering (2006) 0.02 
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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.
  7. Schubert, C.; Kinkeldey, C.; Reich, H.: Handbuch Datenbankanwendung zur Wissensrepräsentation im Verbundprojekt DeCOVER (2006) 0.02 
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  8. Schmitz-Esser, W.: Language of general communication and concept compatibility (1996) 0.01 
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    Pages
    S.11-22
  9. Drewer, P.; Massion, F; Pulitano, D: Was haben Wissensmodellierung, Wissensstrukturierung, künstliche Intelligenz und Terminologie miteinander zu tun? (2017) 0.01 
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    Date
    13.12.2017 14:17:22
  10. Tudhope, D.; Hodge, G.: Terminology registries (2007) 0.01 
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    Date
    26.12.2011 13:22:07
  11. Haller, S.H.M.: Mappingverfahren zur Wissensorganisation (2002) 0.01 
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    Date
    30. 5.2010 16:22:35
  12. Nielsen, M.: Neuronale Netze : Alpha Go - Computer lernen Intuition (2018) 0.01 
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    Source
    Spektrum der Wissenschaft. 2018, H.1, S.22-27
  13. Angerer, C.: Neuronale Netze : Revolution für die Wissenschaft? (2018) 0.01 
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  14. Stojanovic, N.: Ontology-based Information Retrieval : methods and tools for cooperative query answering (2005) 0.01 
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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.
  15. Stuart, D.: Practical ontologies for information professionals (2016) 0.01 
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    Content
    C H A P T E R 1 What is an ontology?; Introduction; The data deluge and information overload; Defining terms; Knowledge organization systems and ontologies; Ontologies, metadata and linked data; What can an ontology do?; Ontologies and information professionals; Alternatives to ontologies; The aims of this book; The structure of this book; C H A P T E R 2 Ontologies and the semantic web; Introduction; The semantic web and linked data; Resource Description Framework (RDF); Classes, subclasses and properties; The semantic web stack; Embedded RDF; Alternative semantic visionsLibraries and the semantic web; Other cultural heritage institutions and the semantic web; Other organizations and the semantic web; Conclusion; C H A P T E R 3 Existing ontologies; Introduction; Ontology documentation; Ontologies for representing ontologies; Ontologies for libraries; Upper ontologies; Cultural heritage data models; Ontologies for the web; Conclusion; C H A P T E R 4 Adopting ontologies; Introduction; Reusing ontologies: application profiles and data models; Identifying ontologies; The ideal ontology discovery tool; Selection criteria; Conclusion C H A P T E R 5 Building ontologiesIntroduction; Approaches to building an ontology; The twelve steps; Ontology development example: Bibliometric Metrics Ontology element set; Conclusion; C H A P T E R 6 Interrogating ontologies; Introduction; Interrogating ontologies for reuse; Interrogating a knowledge base; Understanding ontology use; Conclusion; C H A P T E R 7 The future of ontologies and the information professional; Introduction; The future of ontologies for knowledge discovery; The future role of library and information professionals; The practical development of ontologies
  16. Börner, K.: Atlas of knowledge : anyone can map (2015) 0.01 
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    Date
    22. 1.2017 16:54:03
    22. 1.2017 17:10:56
  17. Yu, L.-C.; Wu, C.-H.; Chang, R.-Y.; Liu, C.-H.; Hovy, E.H.: Annotation and verification of sense pools in OntoNotes (2010) 0.01 
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  18. Synak, M.; Dabrowski, M.; Kruk, S.R.: Semantic Web and ontologies (2009) 0.01 
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    Date
    31. 7.2010 16:58:22
  19. OWL Web Ontology Language Test Cases (2004) 0.01 
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    Date
    14. 8.2011 13:33:22
  20. Giunchiglia, F.; Villafiorita, A.; Walsh, T.: Theories of abstraction (1997) 0.01 
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    Date
    1.10.2018 14:13:22

Authors

Years

Languages

  • e 87
  • d 29
  • pt 1
  • sp 1
  • More… Less…

Types

  • a 88
  • el 25
  • m 8
  • x 8
  • r 4
  • n 2
  • s 2
  • p 1
  • More… Less…

Themes

Subjects

Classifications