Preference Dissemination by Sharing Viewpoints: Simulating Serendipity
| Autor: | Philippe Lemoisson, Stefano A. Cerri, Guillaume Surroca, Clement Jonquet |
|---|---|
| Přispěvatelé: | Système Multi-agent, Interaction, Langage, Evolution (SMILE), Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier (LIRMM), Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM), Territoires, Environnement, Télédétection et Information Spatiale (UMR TETIS), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-AgroParisTech-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA), Institut de Biologie Computationnelle (IBC), Université de Montpellier (UM)-Institut National de la Recherche Agronomique (INRA)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS), SIFR, ANR-12-JS02-0010,SIFR,Indexation sémantique de ressources biomédicales francophones(2012), Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS), Institut National de la Recherche Agronomique (INRA)-Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS) |
| Jazyk: | angličtina |
| Rok vydání: | 2015 |
| Předmět: |
medicine.medical_specialty
Knowledge representation and reasoning Web 2.0 Computer science [INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS] Knowledge Representation Social Semantic Web [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI] World Wide Web Knowledge extraction Human–computer interaction medicine Web navigation C20 - Vulgarisation Semantic Web business.industry U10 - Informatique mathématiques et statistiques Linked data Agents User-Centered Knowledge Engineering Collective Intelligence C30 - Documentation et information Serendipity Web 20 U30 - Méthodes de recherche business Web modeling Knowledge Discovery and Dissemination |
| Zdroj: | 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management IC3K: Knowledge Discovery, Knowledge Engineering and Knowledge Management IC3K: Knowledge Discovery, Knowledge Engineering and Knowledge Management, Nov 2015, Lisbon, Portugal. pp.402-409, ⟨10.5220/0005636204020409⟩ Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management-(Volume 2) KEOD |
| DOI: | 10.5220/0005636204020409⟩ |
| Popis: | IC3K 2015 will be held in conjunction with IJCCI 2015; International audience; The Web currently stores two types of content. These contents include linked data from the semantic Web and user contributions from the social Web. Our aim is to represent simplified aspects of these contents within a unified topological model and to harvest the benefits of integrating both content types in order to prompt collective learning and knowledge discovery. In particular, we wish to capture the phenomenon of Serendipity (i.e., incidental learning) using a subjective knowledge representation formalism, in which several " viewpoints " are individually interpretable from a knowledge graph. We prove our own Viewpoints approach by evidencing the collective learning capacity enabled by our approach. To that effect, we build a simulation that disseminates knowledge with linked data and user contributions, similar to the way the Web is formed. Using a behavioral model configured to represent various Web navigation strategies, we seek to optimize the distribution of preference systems. Our results outline the most appropriate strategies for incidental learning, bringing us closer to understanding and modeling the processes involved in Serendipity. An implementation of the Viewpoints formalism kernel is available. The underlying Viewpoints model allows us to abstract and generalize our current proof of concept for the indexing of any type of data set. |
| Databáze: | OpenAIRE |
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