Search (212 results, page 1 of 11)

  • × theme_ss:"Wissensrepräsentation"
  1. Haller, S.H.M.: Mappingverfahren zur Wissensorganisation (2002) 0.05 
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    Date
    30. 5.2010 16:22:35
    Object
    Visual Knowledge Builder
    Visual Mind
  2. Nielsen, M.: Neuronale Netze : Alpha Go - Computer lernen Intuition (2018) 0.04 
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    Source
    Spektrum der Wissenschaft. 2018, H.1, S.22-27
  3. 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) 0.04 
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    Content
    Vgl.: https%3A%2F%2Faclanthology.org%2FD19-5317.pdf&usg=AOvVaw0ZZFyq5wWTtNTvNkrvjlGA.
  4. Synak, M.; Dabrowski, M.; Kruk, S.R.: Semantic Web and ontologies (2009) 0.04 
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    Date
    31. 7.2010 16:58:22
  5. Hauff-Hartig, S.: Wissensrepräsentation durch RDF: Drei angewandte Forschungsbeispiele : Bitte recht vielfältig: Wie Wissensgraphen, Disco und FaBiO Struktur in Mangas und die Humanities bringen (2021) 0.04 
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    Abstract
    In der Session "Knowledge Representation" auf der ISI 2021 wurden unter der Moderation von Jürgen Reischer (Uni Regensburg) drei Projekte vorgestellt, in denen Knowledge Representation mit RDF umgesetzt wird. Die Domänen sind erfreulich unterschiedlich, die gemeinsame Klammer indes ist die Absicht, den Zugang zu Forschungsdaten zu verbessern: - Japanese Visual Media Graph - Taxonomy of Digital Research Activities in the Humanities - Forschungsdaten im konzeptuellen Modell von FRBR
    Date
    22. 5.2021 12:43:05
  6. Börner, K.: Atlas of knowledge : anyone can map (2015) 0.03 
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    Date
    22. 1.2017 16:54:03
    22. 1.2017 17:10:56
    Type
    m
  7. 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
    Type
    m
  8. Gendt, M. van; Isaac, I.; Meij, L. van der; Schlobach, S.: Semantic Web techniques for multiple views on heterogeneous collections : a case study (2006) 0.02 
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    Source
    Research and advanced technology for digital libraries : 10th European conference, proceedings / ECDL 2006, Alicante, Spain, September 17 - 22, 2006
  9. Hollink, L.; Assem, M. van: Estimating the relevance of search results in the Culture-Web : a study of semantic distance measures (2010) 0.02 
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    Date
    26.12.2011 13:40:22
  10. Bittner, T.; Donnelly, M.; Winter, S.: Ontology and semantic interoperability (2006) 0.02 
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    Date
    3.12.2016 18:39:22
  11. Kiren, T.; Shoaib, M.: ¬A novel ontology matching approach using key concepts (2016) 0.02 
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    20. 1.2015 18:30:22
  12. Conde, A.; Larrañaga, M.; Arruarte, A.; Elorriaga, J.A.; Roth, D.: litewi: a combined term extraction and entity linking method for eliciting educational ontologies from textbooks (2016) 0.02 
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    22. 1.2016 12:38:14
  13. Bringsjord, S.; Clark, M.; Taylor, J.: Sophisticated knowledge representation and reasoning requires philosophy (2014) 0.02 
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    9. 2.2017 19:22:14
  14. Zhitomirsky-Geffet, M.; Bar-Ilan, J.: Towards maximal unification of semantically diverse ontologies for controversial domains (2014) 0.02 
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    20. 1.2015 18:30:22
  15. 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
  16. Sy, M.-F.; Ranwez, S.; Montmain, J.; Ragnault, A.; Crampes, M.; Ranwez, V.: User centered and ontology based information retrieval system for life sciences (2012) 0.01 
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    Abstract
    Background: Because of the increasing number of electronic resources, designing efficient tools to retrieve and exploit them is a major challenge. Some improvements have been offered by semantic Web technologies and applications based on domain ontologies. In life science, for instance, the Gene Ontology is widely exploited in genomic applications and the Medical Subject Headings is the basis of biomedical publications indexation and information retrieval process proposed by PubMed. However current search engines suffer from two main drawbacks: there is limited user interaction with the list of retrieved resources and no explanation for their adequacy to the query is provided. Users may thus be confused by the selection and have no idea on how to adapt their queries so that the results match their expectations. Results: This paper describes an information retrieval system that relies on domain ontology to widen the set of relevant documents that is retrieved and that uses a graphical rendering of query results to favor user interactions. Semantic proximities between ontology concepts and aggregating models are used to assess documents adequacy with respect to a query. The selection of documents is displayed in a semantic map to provide graphical indications that make explicit to what extent they match the user's query; this man/machine interface favors a more interactive and iterative exploration of data corpus, by facilitating query concepts weighting and visual explanation. We illustrate the benefit of using this information retrieval system on two case studies one of which aiming at collecting human genes related to transcription factors involved in hemopoiesis pathway. Conclusions: The ontology based information retrieval system described in this paper (OBIRS) is freely available at: http://www.ontotoolkit.mines-ales.fr/ObirsClient/. This environment is a first step towards a user centred application in which the system enlightens relevant information to provide decision help.
  17. Panzer, M.: Dewey Web services : overview (2009) 0.01 
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  18. Schmitz-Esser, W.: Language of general communication and concept compatibility (1996) 0.01 
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    Pages
    S.11-22
  19. 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
  20. Tudhope, D.; Hodge, G.: Terminology registries (2007) 0.01 
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    Date
    26.12.2011 13:22:07

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