Ontologies and Information Extraction
<|reference_start|>Ontologies and Information Extraction: This report argues that, even in the simplest cases, IE is an ontology-driven process. It is not a mere text filtering method based on simple pattern matching and keywords, because the extracted pieces of texts are interpreted with respect to a predefined partial domain model. This report shows that depending on the nature and the depth of the interpretation to be done for extracting the information, more or less knowledge must be involved. This report is mainly illustrated in biology, a domain in which there are critical needs for content-based exploration of the scientific literature and which becomes a major application domain for IE.<|reference_end|>
@article{nédellec2006ontologies,
    title={Ontologies and Information Extraction},
    author={Claire N'edellec (MIG), Adeline Nazarenko (LIPN)},
    journal={LIPN Internal Report (2005)},
    year={2006},
    archivePrefix={arXiv},
    eprint={cs/0609137},
    primaryClass={cs.AI cs.IR}
}