Organizing information: principles of data base and retrieval systems
Organizing information: principles of data base and retrieval systems
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Lexical analysis and stoplists
Information retrieval
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Query containment for data integration systems
PODS '00 Proceedings of the nineteenth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
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Introduction to Modern Information Retrieval
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COOPIS '96 Proceedings of the First IFCIS International Conference on Cooperative Information Systems
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RIDE '95 Proceedings of the 5th International Workshop on Research Issues in Data Engineering-Distributed Object Management (RIDE-DOM'95)
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On the dynamic management of information in ubiquitous systems using evolvable software components
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KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part II
Managing uncertainty in schema matching with top-k schema mappings
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Non-binary evaluation for schema matching
ER'12 Proceedings of the 31st international conference on Conceptual Modeling
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Information seeking is the process in which human beings recourse to information resources in order to increase their level of knowledge with respect to their goals. In this paper we offer a methodology for automating the evolution of ontologies and share the results of our experiments in supporting a user in seeking information using interactive systems. The main conclusion of our experiments is that if one narrows down the scope of the domain, ontologies can be extracted with a very high level of precision (more than 90% in some cases). The paper is a step in providing theoretical, as well as practical, foundation for automatic ontology generation. It is our belief that such a process would allow the creation of flexible tools to manage metadata, either as an aid to a designer or as an independent system ("smart agent") for time critical missions.