Title
Ontologies-Based Platform for Sociocultural Knowledge Management.
Abstract
In this paper, we present a sociocultural platform aiming at persevering and capitalizing sociocultural events in Senegal. This platform relies on Semantic Web technologies. First, we discuss the two ontologies we provided to support our platform: an upper-level sociocultural ontology and a human time ontology (HuTO). To build our upper-level ontology, we proposed a methodology based on the theory of Russian psychologist Lev Vygotsky called “Vygotskian Framework”. We also present how the upper-level ontology can be matched in the linked open data cloud. On the other hand, we present the HuTO of which major contributions are (i) the modeling of non-convex intervals (repetitive interval) like every Monday, (ii) representation of deictic temporal expressions which form specific relations with time speech and (iii) qualitative temporal notions which are temporal notions relative to a culture or a geographical position. Finally, we discuss the platform designed on top of Semantic MediaWiki to apply our scientific contributions. Indeed, the platform allows Senegalese communities to share and co-construct their sociocultural knowledge.
Year
DOI
Venue
2016
10.1007/s13740-016-0065-4
J. Data Semantics
Keywords
Field
DocType
Upper ontology, Domain ontology, Semantic Web, LOD, Schema matching, Temporal information
Data mining,Ontology,Computer science,Knowledge management,Semantic Web,Ontology (information science),Ontology-based data integration,World Wide Web,Process ontology,Ontology Inference Layer,Suggested Upper Merged Ontology,Upper ontology,Database
Journal
Volume
Issue
ISSN
5
3
1861-2040
Citations 
PageRank 
References 
1
0.37
9
Authors
5
Name
Order
Citations
PageRank
Papa Fary Diallo110.37
Olivier Corby260387.71
Isabelle Mirbel327825.93
Moussa Lo42919.79
Seydina M. Ndiaye581.85