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This paper aims to specify a Case-Based Reasoning strategy for correctly classifying, storing and preventing duplication efforts of electronic text material. Preservation of complete source documents for checking similarity between them pose a daunting amount of spatial and computational complexity to researchers in this area. The problem is partially solved by applying certain preprocessing steps...
A soft-information fusion process produces refined estimates of soft-information, such as natural language messages. Information resulting from a soft-information process can be used to retrieve related, relevant information from background (a-priori) knowledge sources using contextual “cues” contained in those messages, a process we call “Context-Based Information Retrieval (CBIR)”. These retrieval...
Implementing knowledge engineering in DSS has brought a problem of inefficient reasoning due to huge searching space. The use of case-based reasoning technique has ameliorated the situation. The validity of case retrieval directly influences the effect of case-based reasoning, and the key is to measure the similarity between cases. In this paper, an algorithm for cases similarity computation based...
As the Web Ontology Language (OWL) and Semantic Web Rule Language SWRL is promoted as one of the semantic reasoning standards, the parser algorithm for the SWRL retrieval has been studied by many researchers. This paper introduces a retrieve algorithm which integrated both the Topic Semantic Comparability (TSC) and Ant Colony Algorithm (ACA) to select the proper rules for the parser according to the...
Case-based reasoning technology has been widely applied in many areas. This study first clustered the case base according to hierarchy, then on the foundation of which designed a retrieval strategy based on non-isomorphic case base, analyzed the hierarchal clustering rules of case base, and mainly discussed the case retrieval strategy based on clustering. The results of the experiment show that this...
To overcome shortcomings that semantic association in traditional model is just dependent on words instead of their relationships, the concept retrieval model based on description logic is introduced in the paper, and extend reasoning algorithm is proposed. And then on the basis of previous work, a concept retrieval system based on description logic is implemented. The experimentation comes to the...
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