Semantic-based Approach to Task Assignment of Individual Profiles

dc.creatorColucci,Simona
dc.creatorNoia,Tommaso
dc.creatorDi Sciascio,Eugenio
dc.creatorDonini,Francesco
dc.creatorMongiello,Marina
dc.creatorPiscitelli,Giacomo
dc.date2004
dc.date.accessioned2024-02-06T12:52:59Z
dc.date.available2024-02-06T12:52:59Z
dc.descriptionThis paper is focused on the problem of skill matching in an organizational context. We endow the classical weighted bipartite graph approach with a semantic based assignment of arcs weight and we describe a skill matching system implementing the approach. The system takes curricula and project specifications as inputs and extracts from them individual profiles respectively offered and requested, according to an ontology modeling skill management context. The suitability of each available individual to each task to assign is evaluated based on an algorithm whose returned scores are used as arc weights. As a result the semantics of profile descriptions is taken into account in the assignment process.
dc.formattext/html
dc.identifierhttps://doi.org/10.3217/jucs-010-06-0723
dc.identifierhttps://lib.jucs.org/article/28249/
dc.identifier.urihttps://openrepository.mephi.ru/handle/123456789/8568
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 10(6): 723-730
dc.subjectskill matching
dc.subjectknowledge elicitation
dc.subjectDescription Logics
dc.titleSemantic-based Approach to Task Assignment of Individual Profiles
dc.typeResearch Article
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