Development of NeuroElectroMagnetic ontologies(NEMO): a framework for mining brainwave ontologies
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
Go-CID: generic ontology for context-aware, interoperable and data sharing applications
SEA '07 Proceedings of the 11th IASTED International Conference on Software Engineering and Applications
Ontology for interoperability and data sharing in healthcare
ACST '08 Proceedings of the Fourth IASTED International Conference on Advances in Computer Science and Technology
Discovering executable semantic mappings between ontologies
OTM'07 Proceedings of the 2007 OTM Confederated international conference on On the move to meaningful internet systems: CoopIS, DOA, ODBASE, GADA, and IS - Volume Part I
Discovering simple mappings between relational database schemas and ontologies
ISWC'07/ASWC'07 Proceedings of the 6th international The semantic web and 2nd Asian conference on Asian semantic web conference
Using ontology databases for scalable query answering, inconsistency detection, and data integration
Journal of Intelligent Information Systems
ISWC'06 Proceedings of the 5th international conference on The Semantic Web
Journal of Integrated Design & Process Science
Hi-index | 0.01 |
To realize the Semantic Web, it will be necessary to make existing database content available for emerging Semantic Web applications, such as web agents and services, which use ontologies to formally define the semantics of their data. Our research in the design and implementation of an ontology-based system, OntoGrate, addresses the critical and challenging problem of supporting human experts in multiple domains to interactively integrate information that is heterogenous in both structure and semantics. Databases, knowledge bases, the World Wide Web, and the emerging Semantic Web are some of the resources for which scalable integration remains a challenge. To integrate databases into the Semantic Web, we use Semantic Web ontologies to incorporate database schemas. An expressive first order ontology language, Web-PDDL, is used to define the structure, semantics, and mappings of data resources. A powerful inference engine, OntoEngine, can be used for query answering and data translation. In this paper, besides introducing new ideas in the OntoGrate system, we will elaborate on two case studies for which our system works well.