In this paper, we summarize the features of the versatile disambiguation approach we recentlty presented. Its main aim is to make explicit the meaning of structure-based information such as XML schemas, XML document structures, web directories, and ontologies. It can be of support to the semantic-awareness of a wide range of applications, from schema matching and query rewriting to peer data management systems, from XML data clustering to ontology-based automatic In this paper, we summarize the features of the versatile disambiguation approach we recentlty presented. Its main aim is to make explicit the meaning of structure-based information such as XML schemas, XML document structures, web directories, and ontologies. It can be of support to the semantic-awareness of a wide range of applications, from schema matching and query rewriting to peer data management systems, from XML data clustering to ontology-based automatic annotation of web pages and query expansion. The effectiveness of the achieved results has been experimentally proved and is founded both on a flexible exploitation of the structure context, whose extraction can be tailored on the specific application needs, and of the information provided by commonly available thesauri such as WordNet. This work is partially supported by the Italian Council co-funded project WISDOM.
Improving Semantic Awareness of Knowledge-based Applications through Structural Disambiguation / Mandreoli, Federica; Martoglia, Riccardo; E., Ronchetti. - STAMPA. - 166:(2005), pp. ---. (Intervento presentato al convegno 2nd Italian Workshop on Semantic Web Applications and Perspectives, SWAP 2005 tenutosi a Trento, ita nel December 14-16, 2005).
Improving Semantic Awareness of Knowledge-based Applications through Structural Disambiguation
MANDREOLI, Federica;MARTOGLIA, Riccardo;
2005
Abstract
In this paper, we summarize the features of the versatile disambiguation approach we recentlty presented. Its main aim is to make explicit the meaning of structure-based information such as XML schemas, XML document structures, web directories, and ontologies. It can be of support to the semantic-awareness of a wide range of applications, from schema matching and query rewriting to peer data management systems, from XML data clustering to ontology-based automatic In this paper, we summarize the features of the versatile disambiguation approach we recentlty presented. Its main aim is to make explicit the meaning of structure-based information such as XML schemas, XML document structures, web directories, and ontologies. It can be of support to the semantic-awareness of a wide range of applications, from schema matching and query rewriting to peer data management systems, from XML data clustering to ontology-based automatic annotation of web pages and query expansion. The effectiveness of the achieved results has been experimentally proved and is founded both on a flexible exploitation of the structure context, whose extraction can be tailored on the specific application needs, and of the information provided by commonly available thesauri such as WordNet. This work is partially supported by the Italian Council co-funded project WISDOM.Pubblicazioni consigliate
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