Home |  ENGLISH |  Kontakt |  Impressum |  Datenschutz |  Anmelden |  KIT

Inproceedings488

Aus Aifbportal

Wechseln zu: Navigation, Suche


Learning Ontologies for the Semantic Web




Published: 2001

Buchtitel: Semantic Web 2001 (at WWW10), May 1, 2001, Hongkong, China

Referierte Veröffentlichung

BibTeX

Kurzfassung
The Semantic Web relies heavily on the formal ontologies that structure underlying data for the purpose of compre- hensive and transportable machine understanding. There- fore, the success of the Semantic Web depends strongly on the proliferation of ontologies, which requires fast and easy engineering of ontologies and avoidance of a knowledge ac- quisition bottleneck. Ontology Learning greatly facilitates the construction of ontologies by theontology engineer. The vision of ontology learning that we propose here includes a number of comple- mentary disciplines that feed on dierent types of unstruc- tured, semi-structured and fully structured data in order to support a semi-automatic, cooperative ontology engineering process. Our ontology learning framework proceeds through ontology import, extraction, pruning, renement, and eval- uation giving the ontology engineer a wealth of coordinated tools for ontology modeling. Besides of the general frame- work and architecture, we show in this paper some exem- plary techniques in the ontology learning cycle that we have implemented in our ontology learning environment, Text- To-Onto, such asontology learning from free text, from dic- tionaries, or from legacy ontologies, and refer to some others that need to complement the complete architecture, such as reverse engineering of ontologies from database schemata or learning from XML documents.

Download: Media:2001_488_Maedche_Learning_Ontolo_1.pdf



Forschungsgruppe

Wissensmanagement


Forschungsgebiet