Linguistic support for semantic identification and interpretation in multidatabases

Abstract

Ongoing research in the area of linguistic support for semantic identification and interpretation in multidatabase system is presented. The summary schemas model is discussed as a suitable adjunct to multidatabase language systems in order to provide automatic identification of semantically similar entities in different local databases. The summary schemas model also provides a user friendly global interface that accepts queries in the user's own terms. Two taxonomies are reviewed as possible bases for the summary schemas model. Experimental results from using the two taxonomies are discussed.<>