Graph-Based Inferences in a Semantic Web Server for the Cartography of Competencies in a Telecom Valley

We introduce an experience in building a public semantic web server maintaining annotations about the actors of a Telecom Valley. We then focus on an example of inference used in building one type of cartography of the competences of the economic actors of the Telecom Valley. We detailed how this inference exploits the graph model of the semantic web using ontology-based metrics and conceptual clustering. We prove the characteristics of theses metrics and inferences and we give the associated interpretations.

Keywords

semantic web Graph knowledge representation Competency modelling

Domains

Artificial Intelligence [cs.AI] Web Social and Information Networks [cs.SI]

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ISWC2005_GandonEtAl.pdf (811.66 Ko)

ISWC05_GandonEtAl_v04.pdf (906.38 Ko)

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Fabien Gandon : Connect in order to contact the contributor

https://inria.hal.science/hal-01150946

Submitted on : Thursday, May 21, 2015-6:23:20 PM

Last modification on : Monday, February 26, 2024-11:22:08 AM

Long-term archiving on: Wednesday, April 19, 2017-10:06:37 PM

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hal-01150946 , version 1 (21-05-2015)

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HAL Id : hal-01150946 , version 1

Cite

Fabien Gandon, Olivier Corby, Alain Giboin, Nicolas Gronnier, Cecile Guigard. Graph-Based Inferences in a Semantic Web Server for the Cartography of Competencies in a Telecom Valley. 4th International Semantic Web Conference, ISWC 2005, Galway University, DERI, Nov 2005, Galway, Ireland. pp.15. ⟨hal-01150946⟩

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