Abstract
The search results of the traditional concept similarity algorithm in search engine is not accurate, and can not support search results query for search results. A method of calculating the similarity of web pages based on financial ontology is proposed to solving the above problem. First of all, the concept of the financial ontology based on WordNet is constructed, and the corresponding concepts are obtained; Secondly, a new improved strategy of extracting financial key words is proposed in Key words mining according to the characteristics of the web pages (give different weights to different parts of the web pages), which is based on the traditional TF*IDF algorithm, and this strategy can better represent the subject of a web page; Then calculate the semantic distance between keywords, the depth of the levels and the degree of semantic overlap. Finally, the optimal computation of the similarity is realized by the comprehensive weighted processing of multiple similarity. Experimental results showed that the method compared with SSRM in recall ratio and precision ratio has greatly improved. At the same time, the method improved the algorithm performance.
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Acknowledgment
This work is supported by the National Natural Science Foundation of China with the Grant No. 61573157, the Fund of Natural Science Foundation of Guangdong Province of China with the Grant No. 2014A030313454.
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Xiong, L., Li, K., Liu, S. (2016). A Method for Calculating the Similarity of Web Pages Based on Financial Ontology. In: Li, K., Li, J., Liu, Y., Castiglione, A. (eds) Computational Intelligence and Intelligent Systems. ISICA 2015. Communications in Computer and Information Science, vol 575. Springer, Singapore. https://doi.org/10.1007/978-981-10-0356-1_47
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DOI: https://doi.org/10.1007/978-981-10-0356-1_47
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