Search (56 results, page 3 of 3)

  • × theme_ss:"Wissensrepräsentation"
  • × year_i:[2010 TO 2020}
  1. Hannech, A.: Système de recherche d'information étendue basé sur une projection multi-espaces (2018) 0.00 
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    Abstract
    Since its appearance in the early 90's, the World Wide Web (WWW or Web) has provided universal access to knowledge and the world of information has been primarily witness to a great revolution (the digital revolution). It quickly became very popular, making it the largest and most comprehensive database and knowledge base thanks to the amount and diversity of data it contains. However, the considerable increase and evolution of these data raises important problems for users, in particular for accessing the documents most relevant to their search queries. In order to cope with this exponential explosion of data volume and facilitate their access by users, various models are offered by information retrieval systems (IRS) for the representation and retrieval of web documents. Traditional SRIs use simple keywords that are not semantically linked to index and retrieve these documents. This creates limitations in terms of the relevance and ease of exploration of results. To overcome these limitations, existing techniques enrich documents by integrating external keywords from different sources. However, these systems still suffer from limitations that are related to the exploitation techniques of these sources of enrichment. When the different sources are used so that they cannot be distinguished by the system, this limits the flexibility of the exploration models that can be applied to the results returned by this system. Users then feel lost to these results, and find themselves forced to filter them manually to select the relevant information. If they want to go further, they must reformulate and target their search queries even more until they reach the documents that best meet their expectations. In this way, even if the systems manage to find more relevant results, their presentation remains problematic. In order to target research to more user-specific information needs and improve the relevance and exploration of its research findings, advanced SRIs adopt different data personalization techniques that assume that current research of user is directly related to his profile and / or previous browsing / search experiences.
  2. Cui, H.: Competency evaluation of plant character ontologies against domain literature (2010) 0.00 
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    Date
    1. 6.2010 9:55:22
  3. Kless, D.: Erstellung eines allgemeinen Standards zur Wissensorganisation : Nutzen, Möglichkeiten, Herausforderungen, Wege (2010) 0.00 
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    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
  4. Almeida Campos, M.L. de; Machado Campos, M.L.; Dávila, A.M.R.; Espanha Gomes, H.; Campos, L.M.; Lira e Oliveira, L. de: Information sciences methodological aspects applied to ontology reuse tools : a study based on genomic annotations in the domain of trypanosomatides (2013) 0.00 
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    Date
    22. 2.2013 12:03:53
  5. Mahesh, K.: Highly expressive tagging for knowledge organization in the 21st century (2014) 0.00 
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    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. Kiren, T.; Shoaib, M.: ¬A novel ontology matching approach using key concepts (2016) 0.00 
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    Date
    20. 1.2015 18:30:22
  7. 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) 0.00 
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    Date
    22. 1.2016 12:38:14
  8. Marcondes, C.H.; Costa, L.C da.: ¬A model to represent and process scientific knowledge in biomedical articles with semantic Web technologies (2016) 0.00 
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    Date
    12. 3.2016 13:17:22
  9. Bringsjord, S.; Clark, M.; Taylor, J.: Sophisticated knowledge representation and reasoning requires philosophy (2014) 0.00 
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    Date
    9. 2.2017 19:22:14
  10. Monireh, E.; Sarker, M.K.; Bianchi, F.; Hitzler, P.; Doran, D.; Xie, N.: Reasoning over RDF knowledge bases using deep learning (2018) 0.00 
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    Date
    16.11.2018 14:22:01
  11. Putkey, T.: Using SKOS to express faceted classification on the Semantic Web (2011) 0.00 
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    Source
    Library philosophy and practice, 2011
  12. Eito-Brun, R.: Ontologies and the exchange of technical information : building a knowledge repository based on ECSS standards (2014) 0.00 
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    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
  13. Zhitomirsky-Geffet, M.; Bar-Ilan, J.: Towards maximal unification of semantically diverse ontologies for controversial domains (2014) 0.00 
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    Date
    20. 1.2015 18:30:22
  14. Kiren, T.: ¬A clustering based indexing technique of modularized ontologies for information retrieval (2017) 0.00 
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    20. 1.2015 18:30:22
  15. Stuart, D.: Practical ontologies for information professionals (2016) 0.00 
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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. Thenmalar, S.; Geetha, T.V.: Enhanced ontology-based indexing and searching (2014) 0.00 
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    Date
    20. 1.2015 18:30:22

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