InfoSleuth: agent-based semantic integration of information in open and dynamic environments
SIGMOD '97 Proceedings of the 1997 ACM SIGMOD international conference on Management of data
The distributed information search component (Disco) and the World Wide Web
SIGMOD '97 Proceedings of the 1997 ACM SIGMOD international conference on Management of data
The TSIMMIS Approach to Mediation: Data Models and Languages
Journal of Intelligent Information Systems - Special issue: next generation information technologies and systems
Experiences with selecting search engines using metasearch
ACM Transactions on Information Systems (TOIS)
Data structures for efficient broker implementation
ACM Transactions on Information Systems (TOIS)
Semistructured and structured data in the Web: going back and forth
ACM SIGMOD Record
Catching the boat with Strudel: experiences with a Web-site management system
SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
Database techniques for the World-Wide Web: a survey
ACM SIGMOD Record
DIS '96 Proceedings of the fourth international conference on on Parallel and distributed information systems
Interconnecting Heterogeneous Information Systems
Interconnecting Heterogeneous Information Systems
Computer
Supporting Dynamic Interactions among Web-Based Information Sources
IEEE Transactions on Knowledge and Data Engineering
Information Retrieval on the World Wide Web
IEEE Internet Computing
W3QS: A Query System for the World-Wide Web
VLDB '95 Proceedings of the 21th International Conference on Very Large Data Bases
Information brokering over heterogeneous digital data: a metadata-based approach
Information brokering over heterogeneous digital data: a metadata-based approach
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The evolution into the global information infrastructure and the concomitant increase in the available information on the Web, is offering a powerful distribution vehicle for organizations that need to coordinate the use of multiple information sources. However, the technology to organize, search, integrate, and evolve these sources has not kept pace with the rapid growth of the available information space. In this chapter, we present our work in the WebFINDIT project. WebFINDIT aims to achieve the scalable integration and efficient querying of Web-accessible databases through the incremental data-driven discovery and formation of interrelationships between information sources. WebFINDIT uses an ontological organization of the information space to filter interactions and accelerate service searches. More precisely, the information space is organized as domain-specific groups. Each group forms a database community to represent the domain of interest of the related databases. Additionally, WebFINDIT provides a monitoring mechanism to dynamically alter relationships between different database communities. This is achieved by using distributed agents that work as background processes. They continually gather and evaluate information about the intercommunity relationships to recommend changes. A prototype has been fully implemented in the context of a healthcare application.