Talks and Poster Presentations (with Proceedings-Entry):
B. Yildiz, S. Miksch:
"Motivating Ontology-Driven Information Extraction";
Talk: International Conference on Semantic Web and Digital Libraries (ICSD),
- 2007-02-23; in: "Proceedings of the International Conference on Semantic Web and Digital Libraries (ICSD-2007)",
Ontologies can provide Information Extraction Systems (IES) with much needed domain and task knowledge. Yet, it has to be analysed to what extent and in which form ontologies can be utilised to enhance the overall performance of an IES. Further, the use of ontologies requires an accurate management of the same. The most important issue with this respect is to keep the ontology up-to-date, because the domain it represents will change inevitably. In this paper we motivate the use of ontologies within IES, especially for automating the extraction-rule generation process, which currently is the main obstacle to portable and scalable IESs.
Information Extraction, Ontology-driven Information Extraction, Ontology, Ontology Management
Electronic version of the publication:
Project Head Silvia Miksch:
Informationsextraktion aus evidenzbasierten Leitlinien
Created from the Publication Database of the Vienna University of Technology.