Indian Journal of Science and Technology
Year: 2017, Volume: 10, Issue: 18, Pages: 1-10
Sangita Karmakar and Soumen Swarnakar*
Department of Information Technology, Netaji Subhash Engineering College, Kolkata - 700152,West Bengal, India; [email protected], [email protected]
*Author for the correspondence:
Department of Information Technology, Netaji Subhash Engineering College, Kolkata - 700152,West Bengal, India; [email protected]
Objectives: To find a better indexing method of search engine for better information retrieval. Methods/Statistical Analysis: Indexing technique is very important part of any search engine or information retrieval system. There are many indexing techniques proposed earlier but they are not accurately retrieving information from the database. In this paper we are trying to propose a new indexing technique for maximizing attempt to get proper information according to search query by the information retrieval system. There are many different parts to a search engine index, such as design factors and data structures. When a search engine index is being built, there are also many different types of data structures to choose from. Some well known data structures are suffix tree, tree, inverted index, Citation index, Ngram index, Term document matrix, which are all used for different type of index designing for search engine. In this paper combination of different existing indexing methods has been used to form a new indexing technique. Findings: The experimental results described in the paper show that the accuracy of search results using S-N Indexing methods is 5% better than existing search engine indexing techniques. Application/Improvements: In this paper we are trying to design an indexing technique which is combination of Ngram index and suffix tree index for better information retrieval process by search engines. So, proposed method of indexing technique can improve searching results with more accurate and more related way.
Keywords: Concept based, Concept Based Index, Improved Search Index, New Index, Search Engine, Search Engine Index
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