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Based Cluster-FCA-Merge Algorithm Ontology

Author: WanZuo
Tutor: XuDeZhi
School: Central South University
Course: Computer Science and Technology
Keywords: Semantic Web k-means clustering algorithm Documents Ontology FCA-Merge ontology merging algorithm
CLC: TP391.1
Type: Master's thesis
Year: 2010
Downloads: 31
Quote: 2
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Abstract


Ontology is a shared conceptual model of explicit formal specification , is the next generation of the Internet 's core and foundation. In information management , knowledge mining and knowledge sharing , and so has an important and widely used. Ontology is an automatic or semi-automatic ontology construction techniques . It is the starting point for the application of the main body , and therefore it is an important research direction. This paper first introduces the research background and related technologies --- document clustering , and an overview of Ontology research status and trends. Then, an algorithm for an existing body structure of time and space efficiency is not high , and the output of the main body of poor quality problem, according to \the k-means clustering algorithm to the document . This improved k-means clustering algorithm is characterized by the document is that it determines the starting point of the cluster , and not the traditional k-means clustering , as the starting point chosen at random , thereby improving the effectiveness and quality of clustering . ( 2) According to the results of clustering , based on each of the \( 3 ) calculating the distance between each of the main body , combined with FCA-Merge is less than a threshold value from the main body 2 . Finally, the use of Cluster-FCA-Merge get body and hand- constructed ontology comparison, between them and the word word Jeon severe .

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Text Processing
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