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With the development of semantic web, ontology inconsistent problem has been one of the most important research directions of ontology alliance. Based on the difference of research method and problem domain, there are a serial of solutions, among which, Model-based Diagnosis has been widely used in the domain of constructive knowledge description. To obtain efficient methods of diagnosis,local diagnosis...
Measuring the inconsistency degree of an ontology is an important topic in ontology engineering as it can provide extra information for dealing with inconsistency. In this paper, we propose an approach to measuring inconsistency in a DL-Lite ontology and simply point out the useless of inconsistency degree. We first define three-valued semantics for DL-Lite, then through using three-valued semantics,...
Ontology learning technology has become a research hotspot in computer science nowadays. The main objective of this paper is to describe domain ontologies at different granularities and hierarchies based on granular computing. A granular space model for ontology learning was explored, and some definitions such as concept granules, granular worlds and the structure of granular space were described...
Ontology capture is a key topic in constructing an ontology, and it is a procedure of knowledge acquisition. In this paper, by applying the principle of granular computing, some concepts about information granules, including domain feature information granule, domain object information granule, were defined, the context of the domain ontology may be granulated. A domain granule and a domain granule...
With the advances of the Web, more and more people, especially business people, use emails to communicate with each other. Hence, how to deal with business emails is becoming more and more important for decision makers, because among these emails, there hides valuable information such as the customer's complaints about a product or the interests of customers to a product. These are important information...
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