Application of ontology intelligence search engine based on ant colony algorithm

As the search efficiency is not high and it's difficult to find user's interested information, this paper proposes the combination of ant colony algorithm and ontology to create search engine. By the clear formal specification of body shared concept, the search engine has intelligent searc...

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Bibliographic Details
Main Authors: Rui-hua Zhang, Tian-qi Yang
Format: Conference Proceeding
Language:chi ; eng
Subjects:
Algorithm design and analysis
ant colony algorithm
Computers
Educational institutions
Ontologies
ontology
search engine
Search engines
Servers
similarity computing
Online Access:Request full text
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Summary:As the search efficiency is not high and it's difficult to find user's interested information, this paper proposes the combination of ant colony algorithm and ontology to create search engine. By the clear formal specification of body shared concept, the search engine has intelligent search features, and then it can use ontology to provide users' interested search results. In the process of ontology's usage, in order to make different ontology interoperate, the paper introduces similarity computing, and then improves it. Based on the characteristics of ant colony algorithm, it introduces multi-pheromone to change search engine strategy, so it can improve search engine efficiency. While the multi-pheromones apply to different servers, with the increase of search times, it can make the finding of best path more effective.
DOI:10.1109/WCICA.2012.6357902