Most of the data stored in the Semantic Web is organized in schema models, which can be represented as labeled graphs where labels are short natural language expressions. Examples of schema models include ER-schema automata, ontologies, taxonomies, and Web Directories. The semantics of schema models is not explicit but is hidden in their structures and labels. To obtain semantic interoperability we need to make their semantics explicit by taking into account both the interpretation of the labels and the structures described by the arcs. We propose a methodology for interpreting schema models on the basis of the taxonomic relations and the linguistic material they contain. We rely on a set of linguistic repositories, such as WordNet, and explore a number of crucial linguistic issues such as disambiguation of polysemous words, multiwords, and coordinations. The Web Directories of Google and Yahoo! have been chosen as an evaluation set. We show that there is a considerable amount of information to be made explicit and discuss the performance of an implementation of our analysis
Making Explicit the Semantics Hidden in Schema Models
Magnini, Bernardo;Serafini, Luciano;Speranza, Manuela
2003-01-01
Abstract
Most of the data stored in the Semantic Web is organized in schema models, which can be represented as labeled graphs where labels are short natural language expressions. Examples of schema models include ER-schema automata, ontologies, taxonomies, and Web Directories. The semantics of schema models is not explicit but is hidden in their structures and labels. To obtain semantic interoperability we need to make their semantics explicit by taking into account both the interpretation of the labels and the structures described by the arcs. We propose a methodology for interpreting schema models on the basis of the taxonomic relations and the linguistic material they contain. We rely on a set of linguistic repositories, such as WordNet, and explore a number of crucial linguistic issues such as disambiguation of polysemous words, multiwords, and coordinations. The Web Directories of Google and Yahoo! have been chosen as an evaluation set. We show that there is a considerable amount of information to be made explicit and discuss the performance of an implementation of our analysisI documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
