|Title||Imprecise Answers in Distributed Environments: Estimation of Information Loss for Multi-Ontology Based Query Processing|
|Publication Type||Journal Article|
|Year of Publication||2000|
|Authors||Amit Sheth, Vipul Kashyap, Arantza Ilarramendi, E. Mena|
|Keywords||domain ontologies, multi-ontology systems, OBSERVER, semantics preserving translation|
The World Wide Web is fast becoming a ubiquitous computing environment. Prevalent keyword-based search techniques are scalable, but are incapable of accessing information based on concepts. We investigate the use of concepts from multiple, real-world pre-existing, domain ontologies to describe the underlying data content and support information access at a higher level of abstraction. It is not practical to have a single domain ontology to describe the vast amounts of data on the Web. In fact, we expect multiple ...
|Full Text|| |
E. Mena, V. Kashyap, A. Illarramendi, and A. Sheth, 'Imprecise Answers in Distributed Environments: Estimation of Information Loss for Multi-Ontology Based Query Processing,'International Journal of Cooperative Information Systems (IJCIS), 9 (no. 4), pp. 403-425.