Sharing Knowledge in Daily Activity: Application in Bio-Imaging
| Autor: | Cong Cuong Pham, Alexandre Durupt, Nada Matta, Philippe Boutinaud, Marc Joliot, Benoît Eynard, Guillaume Ducellier, Marianne Allanic |
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| Přispěvatelé: | Roberval (Roberval), Université de Technologie de Compiègne (UTC), TECHnologies pour la Coopération, l’Interaction et les COnnaissances dans les collectifs (Tech-CICO), Institut Charles Delaunay (ICD), Université de Technologie de Troyes (UTT)-Centre National de la Recherche Scientifique (CNRS)-Université de Technologie de Troyes (UTT)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS), Cadesis, Université de Bordeaux (UB) |
| Rok vydání: | 2015 |
| Předmět: |
Information retrieval
Database Process (engineering) Computer science Ontology-based data integration Process ontology Ontology (information science) computer.software_genre Knowledge sharing Domain (software engineering) Bio-Imaging Bio imaging Ontology Product Life Cycle Management [INFO]Computer Science [cs] Knowledge Sharing computer TRACE (psycholinguistics) |
| Zdroj: | KMIS Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management-Volume 3: KMIS, 242-247, 2015, Lisbon, Portugal IC3K 2015-7th International Conference on Knowledge Management and Information Sharing IC3K 2015-7th International Conference on Knowledge Management and Information Sharing, Nov 2015, Lisbon, Portugal. pp.242-247, ⟨10.5220/0005633002420247⟩ Scopus-Elsevier |
| DOI: | 10.5220/0005633002420247 |
| Popis: | International audience; Our approach uses the ontology to facilitate the data querying of users in the domain Bio-Imaging where the data resources are heterogeneous and complex. The dependencies among data and the evolution of data resources challenge users (especially for non-technician users) in querying the right data. Ontology can be used to share the users’ understanding about data relationships to all community as well as to trace the database evolution. As consequence, using ontology is a promising solution to facilitate the user’s query making process and to enhance the query’s results. |
| Databáze: | OpenAIRE |
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