ViewpointS: Capturing formal data and informal contributions into an adaptive knowledge graph

Lemoisson Philippe, Surroca Guillaume, Jonquet Clément, Cerri Stefano A.. 2018. ViewpointS: Capturing formal data and informal contributions into an adaptive knowledge graph. International Journal of Knowledge and Learning, 12 (2) : pp. 119-145.

Journal article ; Article de revue à comité de lecture
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Liste HCERES des revues (en SHS) : oui

Thème(s) HCERES des revues (en SHS) : Psychologie-éthologie-ergonomie

Abstract : Formal data is supported by means of specific languages from which the syntax and semantics have to be mastered, which represents an obstacle for collective intelligence. In contrast, informal knowledge relies on weak/ambiguous contributions e.g., I like. Reconciling the two forms of knowledge is a big challenge. We propose a brain-inspired knowledge representation approach called ViewpointS where formal data and informal contributions are merged into an adaptive knowledge graph which is then topologically, rather than logically, explored and assessed. We firstly illustrate within a mock-up simulation, where the hypothesis of knowledge emerging from preference dissemination is positively tested. Then we use a real-life web dataset (MovieLens) that mixes formal data about movies with user ratings. Our results show that ViewpointS is a relevant, generic and powerful innovative approach to capture and reconcile formal and informal knowledge and enable collective intelligence.

Mots-clés libres : Knowledge representation, Knowledge graph, Semantic web, Social web, Collective intelligence, Nature-inspired computational model, Formal-informal knowledge, Serendipitous learning

Classification Agris : U10 - Mathematical and statistical methods
C30 - Documentation and information

Champ stratégique Cirad : Hors axes (2014-2018)

Auteurs et affiliations

  • Lemoisson Philippe, CIRAD-ES-UMR TETIS (FRA) - auteur correspondant
  • Surroca Guillaume, LIRMM (FRA)
  • Jonquet Clément, LIRMM (FRA)
  • Cerri Stefano A., LIRMM (FRA)

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