Abstract
In this paper, we introduce a web-based integrated text and knowledge mining aid system in which information extraction and intelligent information retrieval/database access are combined using term-oriented natural language tools. Our work is placed within the BioPath research project whose overall aim is to link information extraction to expressed sequence data validation. The aim of the tool is to extract automatically terms, to cluster them, and to provide efficient access to heterogeneous biological and genomic databases and collections of texts, all wrapped into a user friendly workbench enabling users to use a wide range of textual and non textual resources effortlessly. For the evaluation, automatic term recognition and clustering techniques were applied in a domain of molecular biology. Besides English, the same workbench has been used for term recognition and clustering in Japanese.
This research is supported by LION BioScience, http://www.lionbioscience.com
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Mima, H., Ananiadou, S., Nenadić, G. (2001). The ATRACT Workbench: Automatic Term Recognition and Clustering for Terms. In: Matoušek, V., Mautner, P., Mouček, R., Taušer, K. (eds) Text, Speech and Dialogue. TSD 2001. Lecture Notes in Computer Science(), vol 2166. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44805-5_16
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DOI: https://doi.org/10.1007/3-540-44805-5_16
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