loading
Papers

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Anna Formica ; Michele Missikoff ; Elaheh Pourabbas and Francesco Taglino

Affiliation: Istituto di Analisi dei Sistemi ed Informatica “A. Ruberti”, Italy

ISBN: 978-989-8425-29-4

Keyword(s): Similarity Reasoning, Reference Ontology, Information content, Digital Resources.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Collaboration and e-Services ; Data Engineering ; e-Business ; Enterprise Information Systems ; Information Systems Analysis and Specification ; Knowledge Engineering and Ontology Development ; Knowledge Representation ; Knowledge-Based Systems ; Ontologies and the Semantic Web ; Ontology Engineering ; Process Knowledge and Semantic Services ; Semantic Web ; Soft Computing ; Symbolic Systems

Abstract: This paper presents a method for semantic search and retrieval in the context of networked enterprises that share services, competencies (knowledge), and a reference ontology (RO). The RO models the universe of domain competencies and is used to build the company profiles starting from their key documents. The search engine is used to identify the competencies needed in a given project. A semantic search engine is capable of representing a user request in terms of the RO concepts and identifying the collection of services or skills (offered by a specific enterprise) that match at best the user request. The proposed semantic search method, referred to as SemSim, is based on concept similarity, derived from the well-known notion of information content. Concepts in the RO are weighted according to a frequency approach. Such weights are used, in our proposal, to derive the pair-wise concept similarity, and an optimized method for computing the similarity of conceptual structures. Finally, we report an experimental assessment where we show that our SemSim method performs better than some of the most representative similarity search methods defined in the literature. (More)

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 18.206.194.210

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Formica, A.; Missikoff, M.; Pourabbas, E. and Taglino, F. (2010). SEMANTIC SEARCH FOR ENTERPRISES COMPETENCIES MANAGEMENT .In Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2010) ISBN 978-989-8425-29-4, pages 183-192. DOI: 10.5220/0003069801830192

@conference{keod10,
author={Anna Formica. and Michele Missikoff. and Elaheh Pourabbas. and Francesco Taglino.},
title={SEMANTIC SEARCH FOR ENTERPRISES COMPETENCIES MANAGEMENT },
booktitle={Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2010)},
year={2010},
pages={183-192},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003069801830192},
isbn={978-989-8425-29-4},
}

TY - CONF

JO - Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2010)
TI - SEMANTIC SEARCH FOR ENTERPRISES COMPETENCIES MANAGEMENT
SN - 978-989-8425-29-4
AU - Formica, A.
AU - Missikoff, M.
AU - Pourabbas, E.
AU - Taglino, F.
PY - 2010
SP - 183
EP - 192
DO - 10.5220/0003069801830192

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.