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Simona Colucci

Researcher at Instituto Politécnico Nacional

Publications -  79
Citations -  1151

Simona Colucci is an academic researcher from Instituto Politécnico Nacional. The author has contributed to research in topics: Description logic & Semantic Web. The author has an hindex of 16, co-authored 65 publications receiving 1122 citations. Previous affiliations of Simona Colucci include Polytechnic University of Bari & University of Bari.

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Journal ArticleDOI

IoT-aided robotics applications

TL;DR: The present contribution provides a solid state of the art on the main topics related to IoT-aided robotics services: communication networks, robotics applications in distributed and pervasive environments, semantic-oriented approaches to consensus, and network security.
Journal ArticleDOI

Concept abduction and contraction for semantic-based discovery of matches and negotiation spaces in an e-marketplace

TL;DR: A Description Logic approach to extended matchmaking between demands and supplies in a semantic-enabled Electronic Marketplace, which allows the semantic-based treatment of negotiable and strict requirements in the demand/supply descriptions.
Journal Article

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

TL;DR: An approach to Ontology-Based Semantic Matchmaking between Skills demand and supply, devised as a virtual marketplace of knowledge, overcomes simple subsumption matching and allows match ranking and categorization.
Proceedings ArticleDOI

Concept abduction and contraction for semantic-based discovery of matches and negotiation spaces in an e-marketplace

TL;DR: A Description Logic approach to extended matchmaking between Demands and Supplies in an Electronic Marketplace is presented, which allows the semantic-based treatment of negotiable and strict requirements in the description.
Journal ArticleDOI

A Nonmonotonic Approach to Semantic Matchmaking and Request Refinement in E-Marketplaces

TL;DR: This paper proposes the use of nonmonotonic inferences (concept contraction and concept abduction) in a semantic-matchmaking process for ranking resource descriptions, and an approach and algorithms are proposed for the progressive refinement and revision of requests, up to an almost exact match.