We present an extended approach to resource retrieval using Natural Language Processing techniques. The aim is to ease user interaction with semantic-based facilitators. The approach allows the automated mapping of the semantics of a natural Language sentence with respect to an ontology modeled using Description Logics. The approach is embedded in the MAMAS matchmaking framework and exploits non-standard inference services for Description Logics.

Natural language processing for a semantic enabled resource retrieval scenario / Ragone, A; Coppi, S; DI NOIA, Tommaso; DI SCIASCIO, Eugenio; Donini, F. M.. - In: ITI. - ISSN 1330-1012. - (2005), pp. 417-426. (Intervento presentato al convegno 27th International Conference on Information Technology Interfaces (ITI 2005) tenutosi a Cavtat, Croatia nel June 20-23, 2005) [10.1109/ITI.2005.1491159].

Natural language processing for a semantic enabled resource retrieval scenario

DI NOIA, Tommaso;DI SCIASCIO, Eugenio;
2005-01-01

Abstract

We present an extended approach to resource retrieval using Natural Language Processing techniques. The aim is to ease user interaction with semantic-based facilitators. The approach allows the automated mapping of the semantics of a natural Language sentence with respect to an ontology modeled using Description Logics. The approach is embedded in the MAMAS matchmaking framework and exploits non-standard inference services for Description Logics.
2005
27th International Conference on Information Technology Interfaces (ITI 2005)
953713802X
Natural language processing for a semantic enabled resource retrieval scenario / Ragone, A; Coppi, S; DI NOIA, Tommaso; DI SCIASCIO, Eugenio; Donini, F. M.. - In: ITI. - ISSN 1330-1012. - (2005), pp. 417-426. (Intervento presentato al convegno 27th International Conference on Information Technology Interfaces (ITI 2005) tenutosi a Cavtat, Croatia nel June 20-23, 2005) [10.1109/ITI.2005.1491159].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11589/20035
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