Enhancing Semantic Search Engine by Using Fuzzy Logic in Web Mining
Sawsan S. Al-Rawi, Rabah Nory Farhan, Wesam I. Hajim · Advances in Computing · 2013
The present work describes system arch itecture of a collaborative approach for semantic search engine mining. The goal is to enhance the design, evaluation and refinement of web min ing tasks using fuzzy logic technique for improving semantic search engine technology. It involves the design and imp lementation of the web crawler for automatizing the process of search, and examining how these techniques can aid in improving the efficiency of already existing Information Retrieval (IR) technologies. The work is based on term frequency inverse document frequency (tf*idf) wh ich depends on Vector Space Model (VSM). The time average consumed for the system to respond in retrieving a number of pages ranging between 20-120 pages for a number of keywords was calculated to be 4.417Sec. The increase percentage (updating rate) was calculated on databases for five weeks during the experiment and for tens of queries to be 5.8 pages / week. The results are more accurate depending on the recall and precision measurements reaching 95% - 100% for some queries within acceptable retrieved time and a spellcheck technique.