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SEMWEB
2005
Springer
15 years 5 months ago
Ontology Learning and Reasoning - Dealing with Uncertainty and Inconsistency
Ontology Learning from text aims at generating domain ontologies from textual resources by applying natural language processing and machine learning techniques. It is inherent in t...
Peter Haase, Johanna Völker
INTELLCOMM
2004
Springer
15 years 5 months ago
On Using WS-Policy, Ontology, and Rule Reasoning to Discover Web Services
This paper proposes an approach to behaviour-based discovery of Web Services by which business rules that govern service behaviour are described as a policy. The policy is represen...
Natenapa Sriharee, Twittie Senivongse, Kunal Verma...
OWLED
2007
15 years 1 months ago
An Extension of DIG 2.0 for Handling Bulk Data
The research community has noted the need to retrieve the instance level of an ontology from bulk data stored in external data sources (e.g., a relational database), in order to de...
Diego Calvanese, Mariano Rodriguez-Muro
SEMWEB
2010
Springer
14 years 9 months ago
Optimising Ontology Classification
Abstract. Ontology classification--the computation of subsumption hierarchies for classes and properties--is one of the most important tasks for OWL reasoners. Based on the algorit...
Birte Glimm, Ian Horrocks, Boris Motik, Giorgos St...
WWW
2007
ACM
16 years 16 days ago
Bringing Semantics to Web Services with OWL-S
Current industry standards for describing Web Services are focused on ensuring interoperability across diverse platforms, but do not provide a good foundation for automating the u...
David L. Martin, Mark H. Burstein, Drew V. McDermo...