Search (216 results, page 1 of 11)

  • × year_i:[2010 TO 2020}
  • × 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) 0.06
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    Content
    Vgl.: https%3A%2F%2Faclanthology.org%2FD19-5317.pdf&usg=AOvVaw0ZZFyq5wWTtNTvNkrvjlGA.
    Pages
    S.140-150
  2. Börner, K.: Atlas of knowledge : anyone can map (2015) 0.05
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    Date
    22. 1.2017 16:54:03
    22. 1.2017 17:10:56
    Footnote
    Rez. in: JASIST 67(2017) no.2, S.533-536 (White, H.D.).
    Pages
    XI, 211 S
  3. Gödert, W.; Hubrich, J.; Nagelschmidt, M.: Semantic knowledge representation for information retrieval (2014) 0.05
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    Classification
    BCA (FH K)
    Date
    23. 7.2017 13:49:22
    GHBS
    BCA (FH K)
    Pages
    XIV, 294 S
  4. 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.
    Pages
    iii, 82 S
  5. Mahesh, K.: Highly expressive tagging for knowledge organization in the 21st century (2014) 0.03
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    Abstract
    Knowledge organization of large-scale content on the Web requires substantial amounts of semantic metadata that is expensive to generate manually. Recent developments in Web technologies have enabled any user to tag documents and other forms of content thereby generating metadata that could help organize knowledge. However, merely adding one or more tags to a document is highly inadequate to capture the aboutness of the document and thereby to support powerful semantic functions such as automatic classification, question answering or true semantic search and retrieval. This is true even when the tags used are labels from a well-designed classification system such as a thesaurus or taxonomy. There is a strong need to develop a semantic tagging mechanism with sufficient expressive power to capture the aboutness of each part of a document or dataset or multimedia content in order to enable applications that can benefit from knowledge organization on the Web. This article proposes a highly expressive mechanism of using ontology snippets as semantic tags that map portions of a document or a part of a dataset or a segment of a multimedia content to concepts and relations in an ontology of the domain(s) of interest.
    Pages
    S.274-280
    Source
    Knowledge organization in the 21st century: between historical patterns and future prospects. Proceedings of the Thirteenth International ISKO Conference 19-22 May 2014, Kraków, Poland. Ed.: Wieslaw Babik
  6. Nielsen, M.: Neuronale Netze : Alpha Go - Computer lernen Intuition (2018) 0.02
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    Content
    Vgl. auch den Beitrag: Sokol, J.: Spielend lernen. In: Spektrum der Wissenschaft. 2018, H.11, S.72-76.
    Source
    Spektrum der Wissenschaft. 2018, H.1, S.22-27
  7. Weller, K.: Ontologien (2013) 0.02
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    Pages
    S.207-218
  8. Drewer, P.; Massion, F; Pulitano, D: Was haben Wissensmodellierung, Wissensstrukturierung, künstliche Intelligenz und Terminologie miteinander zu tun? (2017) 0.02
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    Date
    13.12.2017 14:17:22
    Pages
    28 S
  9. 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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    Abstract
    On the Semantic Web, the types of resources and the semantic relationships between resources are defined in an ontology. By using that information, the accuracy of information retrieval can be improved. In this paper, we present effective ranking and search techniques considering the semantic relationships in an ontology. Our technique retrieves top-k resources which are the most relevant to query keywords through the semantic relationships. To do this, we propose a weighting measure for the semantic relationship. Based on this measure, we propose a novel ranking method which considers the number of meaningful semantic relationships between a resource and keywords as well as the coverage and discriminating power of keywords. In order to improve the efficiency of the search, we prune the unnecessary search space using the length and weight thresholds of the semantic relationship path. In addition, we exploit Threshold Algorithm based on an extended inverted index to answer top-k results efficiently. The experimental results using real data sets demonstrate that our retrieval method using the semantic information generates accurate results efficiently compared to the traditional methods.
    Source
    Information processing and management. 50(2014) no.1, S.132-155
  10. Nguyen, P.H.P.; Kaneiwa, K.; Nguyen, M.-Q.: Ontology inferencing rules and operations in conceptual structure theory (2010) 0.02
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    Pages
    S.61-70
    Source
    Advances in ontologies: Proceedings of the Sixth Australasian Ontology Workshop Adelaide, Australia, 7 December 2010. Eds.: K. Taylor, T.Meyer u. M.Orgun [http://krr.meraka.org.za/~aow2010/AOW2010-preproceedings.pdf]
  11. Deokattey, S.; Neelameghan, A.; Kumar, V.: ¬A method for developing a domain ontology : a case study for a multidisciplinary subject (2010) 0.02
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    Date
    22. 7.2010 19:41:16
    Source
    Knowledge organization. 37(2010) no.3, S.173-184
  12. Weller, K.: Anforderungen an die Wissensrepräsentation im Social Semantic Web (2010) 0.02
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    Pages
    S.33-44
  13. Boteram, F.: Semantische Relationen in Dokumentationssprachen : vom Thesaurus zum semantischen Netz (2010) 0.02
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    Pages
    S.68-80
    Source
    Wissensspeicher in digitalen Räumen: Nachhaltigkeit - Verfügbarkeit - semantische Interoperabilität. Proceedings der 11. Tagung der Deutschen Sektion der Internationalen Gesellschaft für Wissensorganisation, Konstanz, 20. bis 22. Februar 2008. Hrsg.: J. Sieglerschmidt u. H.P.Ohly
  14. Madalli, D.P.; Balaji, B.P.; Sarangi, A.K.: Music domain analysis for building faceted ontological representation (2014) 0.02
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    Pages
    S.289-296
    Source
    Knowledge organization in the 21st century: between historical patterns and future prospects. Proceedings of the Thirteenth International ISKO Conference 19-22 May 2014, Kraków, Poland. Ed.: Wieslaw Babik
  15. Haenelt, K.: Semantik im Wiki : am Beispiel des MediaWiki und Semantic MediaWiki (2011) 0.01
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  16. Kless, D.; Milton, S.: Comparison of thesauri and ontologies from a semiotic perspective (2010) 0.01
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    Pages
    S.35-44
    Source
    Advances in ontologies: Proceedings of the Sixth Australasian Ontology Workshop Adelaide, Australia, 7 December 2010. Eds.: K. Taylor, T.Meyer u. M.Orgun [http://krr.meraka.org.za/~aow2010/AOW2010-preproceedings.pdf]
  17. Mäkelä, E.; Hyvönen, E.; Saarela, S.; Vilfanen, K.: Application of ontology techniques to view-based semantic serach and browsing (2012) 0.01
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    Abstract
    We scho how the beenfits of the view-based search method, developed within the information retrieval community, can be extended with ontology-based search, developed within the Semantic Web community, and with semantic recommendations. As a proof of the concept, we have implemented an ontology-and view-based search engine and recommendations system Ontogaotr for RDF(S) repositories. Ontogator is innovative in two ways. Firstly, the RDFS.based ontologies used for annotating metadata are used in the user interface to facilitate view-based information retrieval. The views provide the user with an overview of the repositorys contents and a vocabulary for expressing search queries. Secondlyy, a semantic browsing function is provided by a recommender system. This system enriches instance level metadata by ontologies and provides the user with links to semantically related relevant resources. The semantic linkage is specified in terms of logical rules. To illustrate and discuss the ideas, a deployed application of Ontogator to a photo repository of the Helsinki University Museum is presented.
  18. Weller, K.: Knowledge representation in the Social Semantic Web (2010) 0.01
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    Classification
    TVK (FH K)
    Footnote
    Rez. in: iwp 62(2011) H.4, S.205-206 (C. Carstens): "Welche Arten der Wissensrepräsentation existieren im Web, wie ausgeprägt sind semantische Strukturen in diesem Kontext, und wie können soziale Aktivitäten im Sinne des Web 2.0 zur Strukturierung von Wissen im Web beitragen? Diesen Fragen widmet sich Wellers Buch mit dem Titel Knowledge Representation in the Social Semantic Web. Der Begriff Social Semantic Web spielt einerseits auf die semantische Strukturierung von Daten im Sinne des Semantic Web an und deutet andererseits auf die zunehmend kollaborative Inhaltserstellung im Social Web hin. Weller greift die Entwicklungen in diesen beiden Bereichen auf und beleuchtet die Möglichkeiten und Herausforderungen, die aus der Kombination der Aktivitäten im Semantic Web und im Social Web entstehen. Der Fokus des Buches liegt dabei primär auf den konzeptuellen Herausforderungen, die sich in diesem Kontext ergeben. So strebt die originäre Vision des Semantic Web die Annotation aller Webinhalte mit ausdrucksstarken, hochformalisierten Ontologien an. Im Social Web hingegen werden große Mengen an Daten von Nutzern erstellt, die häufig mithilfe von unkontrollierten Tags in Folksonomies annotiert werden. Weller sieht in derartigen kollaborativ erstellten Inhalten und Annotationen großes Potenzial für die semantische Indexierung, eine wichtige Voraussetzung für das Retrieval im Web. Das Hauptinteresse des Buches besteht daher darin, eine Brücke zwischen den Wissensrepräsentations-Methoden im Social Web und im Semantic Web zu schlagen. Um dieser Fragestellung nachzugehen, gliedert sich das Buch in drei Teile. . . .
    Insgesamt besticht das Buch insbesondere durch seine breite Sichtweise, die Aktualität und die Fülle an Referenzen. Es ist somit sowohl als Überblickswerk geeignet, das umfassend über aktuelle Entwicklungen und Trends der Wissensrepräsentation im Semantic und Social Web informiert, als auch als Lektüre für Experten, für die es vor allem als kontextualisierte und sehr aktuelle Sammlung von Referenzen eine wertvolle Ressource darstellt." Weitere Rez. in: Journal of Documentation. 67(2011), no.5, S.896-899 (P. Rafferty)
    GHBS
    TVK (FH K)
    Pages
    VII, 442 S
  19. Advances in ontologies : Proceedings of the Sixth Australasian Ontology Workshop Adelaide, Australia, 7 December 2010 (2010) 0.01
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    Editor
    Taylor, K., T.Meyer u. M.Orgun
    Pages
    88 S
  20. Hohmann, G.: ¬Die Anwendung des CIDOC-CRM für die semantische Wissensrepräsentation in den Kulturwissenschaften (2010) 0.01
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    Pages
    S.210-222
    Source
    Wissensspeicher in digitalen Räumen: Nachhaltigkeit - Verfügbarkeit - semantische Interoperabilität. Proceedings der 11. Tagung der Deutschen Sektion der Internationalen Gesellschaft für Wissensorganisation, Konstanz, 20. bis 22. Februar 2008. Hrsg.: J. Sieglerschmidt u. H.P.Ohly

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