Abstract
We describe OAT, a new information extraction system under development. It extracts (subject, predicate, object) triplets from natural language texts. It uses ontologies extensively: the results are saved in an ontology, and ontologies are used in the information extraction process itself. It is adaptable both to a domain of discourse and within a domain of discourse (finding new concepts). This paper concentrates on the requirements and architecture of OAT.
| Original language | English |
|---|---|
| Title of host publication | Poster proceedings |
| Subtitle of host publication | Industrial Conference on Data Mining, ICDM 2006. Leipzig, DE, 13 - 14 July 2006. |
| Editors | Petra Perner |
| Place of Publication | Leipzig |
| Pages | 225-229 |
| Publication status | Published - 2006 |
| MoE publication type | Not Eligible |
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Keywords
- information extraction
- ontology
- software requirements
- software architecture
Cite this
Karanta, I., Pesonen, A., Seitsonen, L., & Silvonen, P. (2006). A text mining system for bioinformatics: requirements and architecture. In P. Perner (Ed.), Poster proceedings: Industrial Conference on Data Mining, ICDM 2006. Leipzig, DE, 13 - 14 July 2006. (pp. 225-229).