Abstract：This paper puts forward a new co-word analysis process model according to the deficiency in tradition co-word analysis. This model improves the traditional methods of co-word analysis from two aspects. At first, this paper supplements the indexing keywords because they cannot fully describe the topic content of the thesis. High frequency words from indexing key words are chosen to constitute a supplementary dictionary. Paper candidate keywords are extracted from the title by the word segmentation technology based on the supplement dictionary, and then the candidate keywords are supplemented according to certain rules. Secondly,domain Ontology is introduced to calculate the high frequency keywords for semantic similarity because the co-occurrence frequencies are difficult to accurately describe the similarity between two words,considering the co-occurrence frequency and semantic similarity. Then the correlation is used to describe the word similarity, and is the basis of building co-word matrix. Finally, experiments prove the effectiveness of this improved method.
唐晓波, 肖璐. 融合关键词增补与领域本体的共词分析方法研究[J]. 现代图书情报技术, 2013, 29(11): 60-67.
Tang Xiaobo, Xiao Lu. Research of Co-word Analysis Method of Combining Keywords Extension and Domain Ontology. New Technology of Library and Information Service, DOI：10.11925/infotech.1003-3513.2013.11.09.
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