International Journal of Latest Trends in Engineering and Technology (IJLTET)
In this paper, the authors present a novel ontology-based text-mining approach to cluster search proposals deep web search based on their similarities. The method is efficient and effective for clustering search proposals with English texts. Text mining methods have been proposed to solve the problem by automatically classifying text documents. Current search methods for grouping proposals are based on manual matching of similar research discipline areas and/or keywords. The advantages of this method are that it can extract three types of data records, namely, single-section data records, multiple-section data records, and loosely structured data records, and it also provides options for aligning iterative and disjunctive data items.