The amount of currently available digital information grows rapidly. Relevant information is often spread over different information sources. An efficient and flexible framework to allow users to satisfy ef- fectively their information needs is required. The work presented in this paper describes SIMS (Semantic Information Management System), a ref- erence architecture for a framework performing semantic annotation, search and retrieval of information from multiple sources. The work pre- sented in this paper focuses on a specific SIMS module, the SIMS Semantic Content Navigator, proposing an algorithm and the related implementa- tion to calculate a semantic similarity measure inside an OWL ontology. This measure is based on ontology structure and on the information pro- vided by attributes and relations that are defined inside the ontology. This work is the result of a collaborative effort between the DINFO (Depart- ment of Computer Science and Engineering) and the research team of En- gineering - Ingegneria Informatica.

PIRRONE, R., RUSSO, G., SANGIORGI, G., INGRAFFIA, N., VICARI, C. (2008). A Semantic Similarity Measure for the SIMS Framework. In KES '08 Proceedings of the 12th international conference on Knowledge-Based Intelligent Information and Engineering Systems (pp.285-292). Springer [10.1007/978-3-540-85567-5_36].

A Semantic Similarity Measure for the SIMS Framework

PIRRONE, Roberto;RUSSO, Giuseppe;
2008-01-01

Abstract

The amount of currently available digital information grows rapidly. Relevant information is often spread over different information sources. An efficient and flexible framework to allow users to satisfy ef- fectively their information needs is required. The work presented in this paper describes SIMS (Semantic Information Management System), a ref- erence architecture for a framework performing semantic annotation, search and retrieval of information from multiple sources. The work pre- sented in this paper focuses on a specific SIMS module, the SIMS Semantic Content Navigator, proposing an algorithm and the related implementa- tion to calculate a semantic similarity measure inside an OWL ontology. This measure is based on ontology structure and on the information pro- vided by attributes and relations that are defined inside the ontology. This work is the result of a collaborative effort between the DINFO (Depart- ment of Computer Science and Engineering) and the research team of En- gineering - Ingegneria Informatica.
Settore ING-INF/05 - Sistemi Di Elaborazione Delle Informazioni
12th international conference on Knowledge-Based Intelligent Information and Engineering Systems
12
2008
8
A stampa
PIRRONE, R., RUSSO, G., SANGIORGI, G., INGRAFFIA, N., VICARI, C. (2008). A Semantic Similarity Measure for the SIMS Framework. In KES '08 Proceedings of the 12th international conference on Knowledge-Based Intelligent Information and Engineering Systems (pp.285-292). Springer [10.1007/978-3-540-85567-5_36].
Proceedings (atti dei congressi)
PIRRONE, R; RUSSO, G; SANGIORGI, G; INGRAFFIA, N; VICARI, C
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10447/48084
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