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By the development of Semantic Web, increasing demands for vague and distributed information representation have triggered a mass of theoretical and applied researches of fuzzy and distributed ontologies, whose main logical infrastructures are fuzzy and distributed description logics. However, current solutions are proposed respectively on one of these two aspects. By integrating -connection...
The emergence of the Semantic Web brings new paradigm shift of computing in data integration research where data is heterogeneous and distributed. Ontology-based heterogeneous relational data integration has recently attracted many diverse contributions, since most of the information is still stored in relational databases. This paper focuses on the query transformation problem in such an integration...
The classical description logic SHOIN, as the logical foundation of OWL DL, is less suitable to represent fuzzy knowledge in the Semantic Web. We introduce cut concepts and cut roles to SHOIN, and present extended fuzzy description logic EFSHOIN. We define the representation of EFSHOIN, and focus on the knowledge base consistency as main reasoning task. We also propose a reasoning algorithm for the...
Data integration is the main problem encountered by applications that need to query across multiple autonomous and heterogeneous data sources. This paper addresses this problem using logic-based approach. We present a semantic integration infrastructure for relational data. In this integration infrastructure, ontology is used as the mediated schema. The formal semantics of SPARQL is defined according...
The fuzzy ontologies play a key role in the semantic Web. The description logic SHOIN, the logical foundation of Web ontology language OWL, becomes less suitable to describe them. To represent fuzzy ontologies, this paper presents the extended fuzzy description logic EFSHOIN, shows the representation and reasoning capabilities of EFSHOIN, and proposes a tableau algorithm for the consistency of EFSHOIN...
RDF ontology can represent semantic information in semantic Web. Ontologies are often too large to be used in a single application. Extracting sub-ontology from large-scale ontology can solve this problem. RDF(S) ontologies are abstracted as graph models. According to the RDFS inference rules, the closure of RDFS ontology graph model can be constructed. To decrease the time of generating closure,...
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