SEMWEB
2005
Springer
14 years 5 months ago
2005
Springer
This paper extends the model theory of RDF with rules, placing an emphasis on integration with OWL and decidability of entailstart from an abstract syntax that views a rule as a pa...
SEMWEB
2005
Springer
14 years 5 months ago
2005
Springer
SEMWEB
2005
Springer
14 years 5 months ago
2005
Springer
Information retrieval systems have to deal with uncertain knowledge and query results should reflect this uncertainty in some manner. However, Semantic Web ontologies are based on...
SEMWEB
2005
Springer
14 years 5 months ago
2005
Springer
Abstract. We introduce a framework, based on logic programming, for preferential reasoning with agents on the Semantic Web. Initially, we encode the knowledge of an agent as a logi...
SEMWEB
2005
Springer
14 years 5 months ago
2005
Springer
The paper reports on the formal framework to design strategies for multi-issue non-symmetric meaning negotiations among software agents in a distributed information retrieval syste...
SEMWEB
2005
Springer
14 years 5 months ago
2005
Springer
Abstract. Ontology alignment is a prerequisite in order to allow for interoperation between different ontologies and many alignment strategies have been proposed to facilitate the ...
SEMWEB
2005
Springer
14 years 5 months ago
2005
Springer
Abstract. In this paper we describe how we handle heterogeneity in web service interaction through a choreography mechanism that we have developed for IRS-III. IRS-III is a framewo...
SEMWEB
2005
Springer
14 years 5 months ago
2005
Springer
Abstract. Swoogle helps software agents and knowledge engineers find Semantic Web knowledge encoded in RDF and OWL documents on the Web. Navigating such a Semantic Web on the Web ...
SEMWEB
2005
Springer
14 years 5 months ago
2005
Springer
We discuss four linguistic ontology-mapping techniques and evaluate them on real-life ontologies in the domain of food. Furthermore we propose a method to combine ontology-mapping ...
SEMWEB
2005
Springer
14 years 5 months ago
2005
Springer
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...