Attributive concept descriptions with complements
Artificial Intelligence
A translation approach to portable ontology specifications
Knowledge Acquisition - Special issue: Current issues in knowledge modeling
Reviewing the design of DAML+OIL: an ontology language for the semantic web
Eighteenth national conference on Artificial intelligence
A Default Extension to Description Logics for Use in an Intelligent Search Engine
HICSS '98 Proceedings of the Thirty-First Annual Hawaii International Conference on System Sciences-Volume 5 - Volume 5
The description logic handbook: theory, implementation, and applications
The description logic handbook: theory, implementation, and applications
Managing multiple and distributed ontologies on the Semantic Web
The VLDB Journal — The International Journal on Very Large Data Bases
Default inheritance reasoning in hybrid KL-ONE-style logics
IJCAI'93 Proceedings of the 13th international joint conference on Artifical intelligence - Volume 1
Dynamic evolutions based on ontologies
Knowledge-Based Systems
Hi-index | 0.00 |
The information society demands complete information from multiple sources, where available information is often heterogeneous and distributed. Because of semantic heterogeneities among ontologies of different information sources, it is rather difficult to integrate these local ontologies and get completely available information. In this paper, we propose a formal framework for integration of multiple ontologies from distributed information sources. To achieve this goal, implicit default information is extensively considered. We make a default extension to distributed description logics (DDL) for ontology integration and complete information query. A complete information query based on the integrated ontologies can boil down to checking default satisfiability of complex concept in accord with the query. Default satisfiability can be detected through an adapted tableau algorithm. Based on the proposed formal framework, a prototype system is developed, which can integrate strict as well as default information from multiple distributed information sources and global semantic information query can be performed.