Designing and evaluating patterns for relation acquisition from texts with Caméléon
Pattern-based approaches for knowledge identification in texts assume that linguistic regularities always characterise the same kind of knowledge, such as semantic relations. In this paper, we report the experimental evaluation of a large set of patterns using an ontology enrichment
tool: Caméléon. Results emphasize the strong influence of the corpus on pattern efficiency and on their meaning. This influence confirms two of the hypotheses that motivated to define Caméléon as a support used in a human-driven process: (1) patterns and relations
must be adapted to each project; (2) human interpretation is required to decide how to report the pieces of knowledge identified with patterns in the ontology.
Keywords: conceptual relation; dependence on textual genre and domain; knowledge engineering; knowledge patterns for French; ontology engineering from text; semi-automatic information extraction; terminology structuring; tool evaluation
Document Type: Research Article
Publication date: 01 January 2008
- International Journal of Theoretical and Applied Issues in Specialized Communication
- Access Key
- Free content
- Partial Free content
- New content
- Open access content
- Partial Open access content
- Subscribed content
- Partial Subscribed content
- Free trial content