Cooperative Building of Multiple Points-of-View Topic Maps with Hypertopic
| Autor: | Claude Guittard, L'Hédi Zaher, Jean-Pierre Cahier |
|---|---|
| Přispěvatelé: | 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), Bureau d'Économie Théorique et Appliquée (BETA), Institut National de la Recherche Agronomique (INRA)-Université de Strasbourg (UNISTRA)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS), Maicher, Lutz, Garshol, Lars Marius (informaticien) |
| Rok vydání: | 2008 |
| Předmět: |
Theoretical computer science
Computer science [SHS.INFO]Humanities and Social Sciences/Library and information sciences Knowledge engineering 02 engineering and technology Notation computer.software_genre [INFO.INFO-SI]Computer Science [cs]/Social and Information Networks [cs.SI] Social Semantic Web 020204 information systems 0202 electrical engineering electronic engineering information engineering 0501 psychology and cognitive sciences Design methods Representation (mathematics) 050107 human factors Socio-semantic Web Topic Maps business.industry [INFO.INFO-WB]Computer Science [cs]/Web 05 social sciences Construct (python library) Design methodology Data mining business computer Model building |
| Zdroj: | Scaling Topic Maps ISBN: 9783540708735 TMRA Scaling Topic Maps : third international conference on topic maps research and applications, TMRA 2007 Maicher, Lutz; Garshol, Lars Marius (informaticien). Scaling Topic Maps : third international conference on topic maps research and applications, TMRA 2007, 4999, Springer Berlin Heidelberg, pp.154-159, 2008, Lecture Notes in Computer Science, 978-3-540-70873-5. ⟨10.1007/978-3-540-70874-2_15⟩ |
| DOI: | 10.1007/978-3-540-70874-2_15 |
| Popis: | International audience; This paper presents socio-semantic web applications based on the Hypertopic knowledge representation model. The Hypertopic [4] model is used to collaboratively construct topic maps with multiple user points-of-view within related communities. Three model building methods are presented herein: centralized, conflict-based, and hybrid. These methods are expressed using the socio-technical ‘SeeMe’ notation and method [7,8]. This paper will also illustrate how various co-building approaches can be used to construct Hypertopic maps in real communities. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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