ViewpointS: When Social Ranking Meets the Semantic Web

Abstract : Reconciling the ecosystem of semantic Web data with the ecosystem of social Web participation has been a major issue for the Web Science community. To answer this need, we propose an innovative approach called ViewpointS where the knowledge is topologically, rather than logically, explored and assessed. Both social contributions and linked data are represented by triples agent-resource-resource called " viewpoints ". A " viewpoint " is the subjective declaration by an agent (human or artificial) of some semantic proximity between two resources. Knowledge resources and viewpoints form a bipartite graph called " knowledge graph ". Information retrieval is processed on demand by choosing a user's " perspective " i.e., rules for quantifying and aggregating " viewpoints " which yield a " knowledge map ". This map is equipped with a topology: the more viewpoints between two given resources, the shorter the distance ; moreover, the distances between resources evolve along time according to new viewpoints, in the metaphor of synapses' strengths. Our hypothesis is that these dynamics actualize an adaptive, actionable collective knowledge. We test our hypothesis with the MovieLens dataset by showing the ability of our formalism to unify the semantics issued from linked data e.g., movies' genres and the social Web e.g., users' ratings. Moreover, our results prove the relevance of the topological approach for assessing and comparing along the time the respective powers of 'genres' and 'ratings' for recommendation.
Type de document :
Communication dans un congrès
FLAIRS: Florida Artificial Intelligence Research Society, May 2017, Marco Island, FL, United States. 30th International Florida Artificial Intelligence Research Society Conference, FLAIRS'17, 2017
Domaine :
Liste complète des métadonnées

Littérature citée [19 références]  Voir  Masquer  Télécharger

https://hal-lirmm.ccsd.cnrs.fr/lirmm-01598842
Contributeur : Clement Jonquet <>
Soumis le : vendredi 29 septembre 2017 - 23:11:09
Dernière modification le : lundi 22 octobre 2018 - 09:54:03
Document(s) archivé(s) le : samedi 30 décembre 2017 - 16:09:39

Fichier

Article_FLAIRS2017_ViewpointS....
Fichiers éditeurs autorisés sur une archive ouverte

Identifiants

  • HAL Id : lirmm-01598842, version 1

Citation

Philippe Lemoisson, Guillaume Surroca, Clement Jonquet, Stefano A. Cerri. ViewpointS: When Social Ranking Meets the Semantic Web. FLAIRS: Florida Artificial Intelligence Research Society, May 2017, Marco Island, FL, United States. 30th International Florida Artificial Intelligence Research Society Conference, FLAIRS'17, 2017. 〈lirmm-01598842〉

Partager

Métriques

Consultations de la notice

179

Téléchargements de fichiers

42