Conceptual-model-based data extraction from multiple-record Web pages
Data & Knowledge Engineering
Concept-based knowledge discovery in texts extracted from the Web
ACM SIGKDD Explorations Newsletter
Conceptual modeling through linguistic analysis using LIDA
ICSE '01 Proceedings of the 23rd International Conference on Software Engineering
Usability Engineering
Evaluating Natural Language Processing Systems: An Analysis and Review
Evaluating Natural Language Processing Systems: An Analysis and Review
Tools for the Knowledge Analyst: An Information Superiority Visionary Demonstration
COMPSAC '98 Proceedings of the 22nd International Computer Software and Applications Conference
Measuring user acceptability of machine translations to diagnose system errors: an experience report
COLING-MTIA '02 Proceedings of the 2002 COLING workshop on Machine translation in Asia - Volume 16
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Conceptual modeling has been fundamental to the management of structured data. However, its value is increasingly being recognized for knowledge management in general. In trying to develop suitable conceptual models for unstructured information, issues such as the level of representation and complexity of processing techniques arise. Here, we investigate the use of a conceptual model that is simple enough to allow efficient automatic extraction from documents. Our model focused on the problem-solution relationship that is central to the analysis of scientific papers. It also consists of supporting relationships such as benefits and drawbacks, assumptions, methods, extensions, and claims. Our study considered two kinds of documents - scientific research papers and patents. We evaluated the utility of the approach by building a prototype system and our user evaluation shows promising results.