A Formal Approach to Ontology-Based Semantic Match of Skills Descriptions

dc.creatorColucci,Simona
dc.creatorNoia,Tommaso
dc.creatorDi Sciascio,Eugenio
dc.creatorDonini,Francesco
dc.creatorMongiello,Marina
dc.creatorMottola,Marco
dc.date2003
dc.date.accessioned2024-02-06T12:52:40Z
dc.date.available2024-02-06T12:52:40Z
dc.descriptionSkills management has been recently acknowledged as one of the key factors to adequately face the increasing competitiveness between knowledge intensive companies. In this paper we present a formal approach to Ontology-Based Semantic Matchmaking between Skills demand and supply, devised as a virtual marketplace of knowledge. In such a knowledge market metaphor, skills are a peculiar kind of good that has distinguishing characteristics with respect to traditional assets. Buyers are entities that need the skills of people, such as projects, departments and organizations, sellers are workers that offer their own skills. The formal framework supports the semantic match of descriptions provided by demanders and sellers of skills. In particular our approach, based on Description Logics formalization and reasoning, overcomes simple subsumption matching and allows match ranking and categorization. The implementation of the approach in a prototype system, which embeds a NeoClassic reasoner, is also described.
dc.formattext/html
dc.identifierhttps://doi.org/10.3217/jucs-009-12-1437
dc.identifierhttps://lib.jucs.org/article/28151/
dc.identifier.urihttps://openrepository.mephi.ru/handle/123456789/8454
dc.languageen
dc.publisherJournal of Universal Computer Science
dc.relationinfo:eu-repo/semantics/altIdentifier/eissn/0948-6968
dc.relationinfo:eu-repo/semantics/altIdentifier/pissn/0948-695X
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightsJ.UCS License
dc.sourceJUCS - Journal of Universal Computer Science 9(12): 1437-1454
dc.subjectknowledge representation
dc.subjectskill management
dc.subjectmatchmaking
dc.subjectontologies
dc.titleA Formal Approach to Ontology-Based Semantic Match of Skills Descriptions
dc.typeResearch Article
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