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
Ontologies and Databases
Interconnecting Heterogeneous Information Systems
Interconnecting Heterogeneous Information Systems
Distributed and Parallel Databases
WebFindIt: An Architecture and System for Querying Web Databases
IEEE Internet Computing
Querying Heterogeneous Information Sources Using Source Descriptions
VLDB '96 Proceedings of the 22th International Conference on Very Large Data Bases
Preserving privacy in web services
Proceedings of the 4th international workshop on Web information and data management
Guest Editors' Introduction: Database Technology on the Web
IEEE Internet Computing
Ontology-based Support for Digital Government
Proceedings of the 27th International Conference on Very Large Data Bases
Adaptive web-based database communities
Information modeling for internet applications
Customized Delivery of E-Government Web Services
IEEE Intelligent Systems
Expert Systems with Applications: An International Journal
Evaluating ontology mapping techniques: An experiment in public safety information sharing
Decision Support Systems
Rater Credibility Assessment in Web Services Interactions
World Wide Web
RATEWeb: Reputation Assessment for Trust Establishment among Web services
The VLDB Journal — The International Journal on Very Large Data Bases
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The information revolution has led organizations to rely on databases to conduct their daily business. The authors explore Indiana's digital government project and explain how using Web-based techniques to retrieve data can help disadvantaged citizens become self-reliant. The authors recommend that empowering novice and experienced users to submit queries over database networks provides a sophisticated infrastructure that supports flexible tools for managing and accessing Internet databases. They propose using distributed ontologies of information repositories to meet this challenge. They suggest an organization and segmentation of databases based on simple ontologies that describe coherent slices of the information space. These distributed ontologies filter interactions, accelerate information searches, and permit data sharing in a tractable manner. The authors describe how strengthening database management technology renders improved service.