Versatile structural disambiguation for semantic-aware applications Federica Mandreoli, Riccardo Martoglia, and Enrico Ronchetti   View Paper (PDF)   Return to KM-3 (Knowledge Management): Classification and Clustering Abstract In this paper, we propose a versatile disambiguation approach which can be used 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. ©2006 Association for Computing Machinery