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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...
Every so often a paper is published presenting a new extension for modelling cyber security requirements in Business Process Model and Notation (BPMN). The frequent production of new extensions by experts belies the need for a richer and more expressive representation of security requirements in BPMN processes. One reason for this is that current extensions focus on only specific areas and so fail...
The most important issue in personalized services is how to build a proper user model for individual user. Extracting user interests is an essential question, which attracts many researchers' investigation. But most of them don't consider enough the history of user behaviors. This paper proposes a method to extract user interests from user behavior history and document information, so called Behavior...
User model is one of the fundamentals to support personalized services. Not only the model has to represent user preferences precisely, but it must reflect the changes of user preferences over time as well. Existing user modeling approaches have several deficiencies such as lack of dynamics and adaptation, so the evolution of these models is much de-pendent on user's explicit feedbacks. Particularly,...
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...
The goal of this research was the design and implementation of storage management for Web service data. Web service data storage management uses a data management model that thrives in capturing the meaning of the data more than other traditional database management. Due to this higher-level data storage model enables the users to see a conceptual view of the database. This paper presents an overview...
The goal of this research was the design and implementation of the inverted indexing used into the semantic Web service discovery search model (SWSDSM) in order to find the target services in a quick, accurate and efficient way. Recent research has demonstrated the potential benefits of the inverted indexing. The inverted indexing greatly accelerates the filtering of irrelevant atomic services. The...
The emergence of the semantic Web has given rise to several researches on semantic integration of heterogeneous relational databases using ontology. This paper studies the query rewriting problem in such an integration scenario. RDFpsilas graph model lends itself well to expressing relational data. To model the relational schema, we propose a data source describing method based on SPARQL graph patterns...
A concept of semantic web service discovery search model is proposed. The definition, the semantic web service discovery search model (SWSDSM) unified with the semantic and the search engine technology, is proposed after the existing Web service discovery technology studied systematically and thoroughly. This model might search for and fuse the information in the UDDI registries, then provide for...
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,...
There are more and more Web services used in collaborative learning, hence it has become increasingly important to locate proper Web services in an accurate and efficient way. In this paper, an annexed algorithm, called eLSDAUS, is proposed to improve the existing semantic-based matchmaking algorithm. In the algorithm, we introduce and incorporate in a new factor - user satisfaction, which is the...
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