Overall Objectives
Research Program
Application Domains
New Software and Platforms
New Results
Bilateral Contracts and Grants with Industry
Partnerships and Cooperations
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Section: New Results

Sociocultural Ontologies

Participants : Papa Fary Diallo, Olivier Corby, Isabelle Mirbel.

Sociocultural Ontology : Upper-level and Domain Ontologies

We propose a process of sociocultural ontology development in order to promise and preserve the culture of a country through sharing the customs and history of different localities. This can be compared with the construction of a platform straddling ”corporate memory” and a ”social network”, but applied in the context of a country. This process is based on the Vygotskian Framework, a theory of Russian psychologist Lev Vygotsky. We worked on an upper-level ontology and mapped it on the Linked Open Data (LOD) cloud. We designed a sociocultural domain ontology for the Senegalese context and the platform design on top of Semantic Mediawiki (SMW). This allows Senegalese communities to share and co-construct their sociocultural knowledge. This work is published in [59] .

Human Time Ontology

In the second step of the PhD thesis of P. F. Diallo, we focus on the consideration of the time in the modeled knowledge. The main objective of this work is to provide a vocabulary (ontology) to handle temporal information on semantic data. Thus, the first step was to create a meta-language which handles temporal knowledge representation in the socio-cultural field that can be used in a wider area. This meta-language allows 1) to model cyclic knowledge (non-convex interval), 2) knowledge about calendar, 3) convex intervals 4) modeling absolute and relative time, 5) modeling relations between intervals, 6) distinction between open and closed intervals, 7) concepts such as time stamps and 8) to set different time granularities. The second step is to propose an RDFS representation of this meta-language. Thus this representation, Human Time Ontology (HuTO), allows us to model complex time statement which are a date, an interval (convex and non-convex), relative and absolute time. HuTO allows also temporal data annotation which is the representation of temporal notions on knowledge (expressed as RDF triple) and allow to reason over it.

HuTO allows us to use a resource as a temporal marker for dating another resource. Our ontology allows the relative dating which is to determine the relative order of resources, without necessarily determining their absolute time. A major contribution of HuTO is the modeling of non-convex intervals but also requests that can treat all types of intervals. For temporal annotation data, HuTO provides an approach that can link two models: one for temporal information and another for knowledge of the modeled area. This approach facilitates the information retrieval when it is on temporal or non-temporal data. Thus HuTO can annotate resources, triples or named graphs.