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Data mining plays a central role in knowledge discovery. It involves applying specific algorithms to extract patterns or rules from data sets in a particular representation. Many researchers in database and machine-learning fields are interested in this new research topic since it offers opportunities to discover useful information and important relevant patterns in large databases, thus helping decision-makers...
The following topics are dealt with: data mining; granular computing; information retrieval; fuzzy set; rough set; feature selection; ontology; pattern clustering and Web page.
Semantic similarity measure plays an important role in semantic search. However, Intention in educational resources search with semantic similarity has been rarely. In this paper, we proposed ontology based semantic similarity method to compute the user query and provided educational resources, so as to improve the search efficiency. A prototype system has been implemented in light of this approach...
There exist many difficulties in the current semantics for first-order modal logic. For instance, the problem of rigid semantics. In order to solve the problem of rigid semantics, Melvin Fitting presented a semantics of first-order intensional logic (FOIL), in which both objects and intensions are explicitly present and can be quantified over. Intensions designate different objects under different...
One of the challenging problem that Web service technology is now facing is effective service discovery. To solve the deficiencies of Web service description, matching and choosing under WSDL language, this paper presents a web service discovery method based on keyword clustering and concept expansion, mainly from the content of Web service, reasoning of service request and service matching, through...
Ontology-based information retrieval is an effective approach to achieve knowledge retrieval. For retrieving more efficiently in the uncertain information space, a method of rough ontology-based information retrieval is proposed. Given a query keyword, the method can compute individuals and query properties by a search procedure, and construct approximation space in ontology information system by...
Ontology is the centre issue of semantic web architecture as a representative model of knowledge and the formal definition of common recognition of knowledge. In this paper, a new way is proposed to ontology modeling for the semantic web based on cloud model. First, the process of creating domain ontology is presented. Second, concept climbing is given to express ontology from the small concept climbing-up...
In the paper, it refers to the concepts of ontology, OWL and context, different context information is defined by the tuple method, and establishes the model of context-awareness based on ontology in Smart-Home, and then it introduces the model of reasoning and memory in detail; and studies the affections of ontology on the two models. At last, the paper explains the application of model by using...
Development of educational ontologies is a step towards creation of sharable and reusable adaptive educational systems. Concept maps are graphical tools for organizing and representing knowledge, it can be used in ontology-building, and can also be used flexibly to represent and shareable idea. This paper introduces the stepwise of designing the educational ontology of Computer Networks (CN), and...
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