Paper Info
Title
A Categorial Context with Default Reasoning Approach to Heterogeneous Ontology Integration
Abstract
With context unceasingly changing, available information among ontologies of different information sources is often heterogeneous. It is crucial to develop scalable and efficient ontological formalism. This paper presents a categorial context-based formalism with default reasoning, in which context information is extensively considered, and from the category theory point of view, we syncretize default reasoning and make a categorial context extension to description logics (DL) for heterogeneous ontology integration. The core part of the formalism is a categorial context based on the DL, which captures and explicitly represents the information about contexts, and constructs nonmonotonic default reasoning. Based on the formal framework, a prototype is developed based on JESS, RACER and Protégé OWL plugin, which can integrate different ontologies from multiple distributed sources with context information using default reasoning.
Year
DOI
Venue
2007
10.1007/978-3-540-72586-2_98
International Conference on Computational Science (2)
Keywords
Field
DocType
syncretize default reasoning,context unceasingly,context information,categorial context-based formalism,categorial context,default reasoning,available information,constructs nonmonotonic default reasoning,categorial context extension,heterogeneous ontology integration,different information source,default reasoning approach,category theory,description logic
Ontology (information science),Ontology,Protégé,Computer science,Description logic,Context model,Category theory,Natural language processing,Artificial intelligence,Formalism (philosophy),Scalability
Conference
Volume
ISSN
Citations 
4488
0302-9743
0
PageRank 
References 
Authors
0.34
13
2
Name
Order
Citations
PageRank
Ruliang Xiao1288.42
Shengqun Tang2285.46