Oct 28, 1999 · Imprecise Answers in Distributed Environments: Estimation of. Information Loss for Multi-Ontology Based Query Processing. Eduardo Mena. Vipul ...

We investigate the use of concepts from multiple, real-world pre-existing, domain ontologies to describe the underlying data content and support information ...

A critical challenge in this approach is the vocabulary heterogeneity problem. Queries are rewritten using interontology relationships to obtain translations ...

We present a novel approach for estimating loss of information based on navigation of ontological terms. We define measures for loss of information based on ...

This work investigates the use of concepts from multiple, real-world pre-existing, domain ontologies to describe the underlying data content and support ...

A critical challenge in this approach is the vocabulary heterogeneity problem. Queries are rewritten using interontology relationships to obtain translations ...

If the user is not satisfied with the answer, the query processor retrieves more data from other ontologies in the Information System to \enrich" the answer in ...

Bibliographic details on Imprecise Answers in Distributed Environments: Estimation of Information Loss for Multi-Ontology Based Query Processing.

Submissions from 2000 2000. Link · Imprecise Answers in Distributed Environments: Estimation of Information Loss for Multi-Ontology Based Query Processing ...