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- W828232956 abstract "A FRAMEWORK FOR EXTRACTION PLANS AND HEURISTICS IN AN ONTOLOGY-BASED DATA-EXTRACTION SYSTEM Alan Wessman Department of Computer Science Master of Science Extraction of information from semi-structured or unstructured documents, such as Web pages, is a useful yet complex task. Research has demonstrated that ontologies may be used to achieve a high degree of accuracy in data extraction while maintaining resiliency in the face of document changes. Ontologies do not, however, diminish the complexity of a data-extraction system. As research in the field progresses, the need for a modular data-extraction system that de-couples the various functional processes involved continues to grow. In this thesis we propose a framework for such a system. The nature of the framework allows new algorithms and ideas to be incorporated into a data extraction system without requiring wholesale rewrites of a large part of the system’s source code. It also allows researchers to focus their attention on parts of the system relevant to their research without having to worry about introducing incompatibilities with the remaining" @default.
- W828232956 created "2016-06-24" @default.
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- W828232956 date "2005-01-01" @default.
- W828232956 modified "2023-09-26" @default.
- W828232956 title "A Framework for Extraction Plans and Heuristics in an Ontology-Based Data-Extraction System" @default.
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