KQML as an agent communication language
CIKM '94 Proceedings of the third international conference on Information and knowledge management
Object-oriented multidatabase systems
Interoperability for digital libraries worldwide
Communications of the ACM
Capability based mediation in TSIMMIS
SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
InterViso: dealing with the complexity of federated database access
The VLDB Journal — The International Journal on Very Large Data Bases
The Conceptual Basis for Mediation Services
IEEE Expert: Intelligent Systems and Their Applications
Don't Scrap It, Wrap It! A Wrapper Architecture for Legacy Data Sources
VLDB '97 Proceedings of the 23rd International Conference on Very Large Data Bases
Optimizing Queries Across Diverse Data Sources
VLDB '97 Proceedings of the 23rd International Conference on Very Large Data Bases
Querying Heterogeneous Information Sources Using Source Descriptions
VLDB '96 Proceedings of the 22th International Conference on Very Large Data Bases
Calibrating the Query Optimizer Cost Model of IRO-DB, an Object-Oriented Federated Database System
VLDB '96 Proceedings of the 22th International Conference on Very Large Data Bases
Semantic Brokering over Dynamic Heterogeneous Data Sources in InfoSleuth(tm)
ICDE '99 Proceedings of the 15th International Conference on Data Engineering
Capability-Sensitive Query Processing on Internet Sources
ICDE '99 Proceedings of the 15th International Conference on Data Engineering
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The Internet now makes it possible for people building complex applications by combining data and processes offered by different information systems available across the network. These data sources are normally with very diverse data structure and processing capabilities. In order for these systems to share information and collaborate with each other, they must be able to present their information and capabilities in such a way that they can be understood by other sources.In this paper, we investigate the issues in data sources description in terms of their contents and processing capabilities. We argue that the current research results in advertising data sources have limitations and propose a framework to overcome these limitations. We demonstrate that our approach will allow data sources to advertise their capabilities in both general and a specific way.