Towards the self-annotating web
Philipp Cimiano,Siegfried Handschuh,Steffen Staab +2 more
- 17 May 2004
- pp 462-471
TL;DR: PANKOW (Pattern-based Annotation through Knowledge on theWeb), a method which employs an unsupervised, pattern-based approach to categorize instances with regard to an ontology, is proposed.
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Abstract: The success of the Semantic Web depends on the availability of ontologies as well as on the proliferation of web pages annotated with metadata conforming to these ontologies. Thus, a crucial question is where to acquire these metadata from. In this paper wepropose PANKOW (Pattern-based Annotation through Knowledge on theWeb), a method which employs an unsupervised, pattern-based approach to categorize instances with regard to an ontology. The approach is evaluated against the manual annotations of two human subjects. The approach is implemented in OntoMat, an annotation tool for the Semantic Web and shows very promising results.
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Ontology Learning for the Semantic Web
Alexander Maedche,Steffen Staab +1 more
- 28 Feb 2002
TL;DR: The authors present an ontology learning framework that extends typical ontology engineering environments by using semiautomatic ontology construction tools and encompasses ontology import, extraction, pruning, refinement and evaluation.
Self-organization and identification of Web communities
TL;DR: This work shows that the Web self-organizes and its link structure allows efficient identification of communities and is significant because no central authority or process governs the formation and structure of hyperlinks.