Semantic Web Dog Food

Presented at: 3rd European Semantic Web Conference (ESWC2006)

by Luciano Serafini, Stefano Zanobini, Simone Sceffer, Paolo Bouquet

Hierarchical Classifications with Attributes are tree-like structures used for organizing/classifying data. Due to the exponential growth and distribution of information across the network, and to the fact that such information is usually clustered by means of this kind of structures, we assist nowadays to an increasing interest in finding techniques to define mappings among such structures. In this paper, we propose a new algorithm for discovering mappings across hierarchical classifications, which faces the matching problem as a problem of deducing relations between sets of logical terms representing the meaning of hierarchical classification nodes.

Matching Hierarchical Classifications with Attributes was presented at this event.

Keywords: Mapping / translation / matching / aligning (heterogeneity), Social networks and Semantic Web

Resource URI on the dog food server: http://data.semanticweb.org/conference/eswc/2006/paper/serafini-zanobini
Same as: http://www.eswc2006.org/full-papers/#serafini-zanobini

Explore this resource elsewhere:

• on Snorql
• on Sindice
• on dotAC Explorer