A comparative analysis of methodologies for database schema integration
ACM Computing Surveys (CSUR)
Semantic heterogeneity in multidatabase systems
Object-oriented multidatabase systems
Toward principles for the design of ontologies used for knowledge sharing
International Journal of Human-Computer Studies - Special issue: the role of formal ontology in the information technology
Information translation, mediation, and mosaic-based browsing in the TSIMMIS system
SIGMOD '95 Proceedings of the 1995 ACM SIGMOD international conference on Management of data
Query caching and optimization in distributed mediator systems
SIGMOD '96 Proceedings of the 1996 ACM SIGMOD international conference on Management of data
Managing semantic heterogeneity in databases: a theoretical prospective
PODS '97 Proceedings of the sixteenth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems
Modeling Web sources for information integration
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Semantic interoperability in global information systems
ACM SIGMOD Record
Constructing Intelligent Agents with Java: A Programmer's Guide to Smarter Applications
Constructing Intelligent Agents with Java: A Programmer's Guide to Smarter Applications
A Case-Based Approach to Information Integration
VLDB '00 Proceedings of the 26th International Conference on Very Large Data Bases
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In order to make multiple autonomous databases to interoperate effectively, semantic heterogeneities have to be detected and resolved Another difficulty is that users can be allowed to handle information easily from different heterogeneous databases that refer to the same real-world entity To solve these problems, in this paper, I present an information integration system for interoperable databases using metadata registry and ontology A metadata registry is a place to keep facts about characteristics of data that are necessary for data sharing and exchange in a specific domain An ontology defines concepts and relations among concepts The purpose of the proposed architecture is to define an information integration model, which combines characteristics of both standard specification of metadata registry and functionality of ontology for the concepts and relations.