ViewPointS: Maps where Social Ranking Meets the Semantic Web

Date: May 26, 2017

Speaker: Stefano Cerri, LIRMM, Laboratory of Informatics Robotics Micro-Electronics of Montpellier, Un. Montpellier & CNRS, France

Paper authors: Philippe Lemoisson¹, Guillaume Surroca², Clément Jonquet^{2 3} and Stefano A. Cerri²

^{1 CIRAD, International Research Center on Agricolture and Development, Montpellier, France}

^{2 LIRMM, Laboratory of Informatics Robotics Micro-Electronics of Montpellier, Un. Montpellier & CNRS, France}

^{3 Stanford Center for Biomedical Informatics Research (BMIR) Stanford University, USA}

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.

References

• ViewpointS: When Social Ranking Meets the Semantic Web. Philippe Lemoisson, Guillaume Surroca, Clément Jonquet, Stefano Alessandro Cerri; AAAI Publications, The Thirtieth International Flairs Conference; Mai 22-24, 2017: 329-334 http://www.aaai.org/Library/FLAIRS/flairs17contents.php
• Subjective and generic distance in ViewpointS: an experiment on WordNet. SURROCA G. ; LEMOISSON P. ; JONQUET C. ; CERRI S.A.; 6^th International Conference on Web Intelligence, Mining and Semantics; June 13-15, 2016 – Nîmes, France http://www.lirmm.fr/~jonquet/publications/documents/Article_WIMS2016_Viewpoints_Surroca.pdf
• Preference Dissemination by Sharing Viewpoints: Simulating Serendipity. SURROCA G. ; LEMOISSON P. ; JONQUET C. ; CERRI S.A., KEOD 2015: 402-409 http://www.lirmm.fr/~jonquet/publications/documents/Article_KEOD2015_Viewpoints.pdf
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