Performance Comparison between Keyword-based and WQCA-based Information Retrieval System
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
www.ijsr.net | Open Access | Fully Refereed | Peer Reviewed International Journal

ISSN: 2319-7064

Research Paper | Information Technology | Burma | Volume 7 Issue 12, December 2018

Performance Comparison between Keyword-based and WQCA-based Information Retrieval System

Naw Thiri Wai Khin, Nyo Nyo Yee

Today, semantic logics are very important in query understanding to create successful web search engines. A user might not formalize the query when he seeks information although he knows what he wants. As a result, understanding the nature of the information that is needed behind the queries are important research problem. So, this system proposes the Web Query Classification Algorithm (WQCA) for efficient Information Retrieval (IR) system. In the WQCA process, this system firstly classifies the web queries into each characteristic (taxonomies). Then, this system extracts the domain terms from the query. By using NoSQL graph database, this system classifies each domain term into their relevant categories according to the WQCA algorithm. In the WQCA-based IR process, this system uses the classified query to find the relevant document form the document collection. Finally, this system compares the performance between keyword-based IR and WQCA-based IR to show the effectiveness of the web query classification.

Keywords: web query, domain term extraction, WQCA, NoSQL graph database, information retrieval

Edition: Volume 7 Issue 12, December 2018

Pages: 1436 - 1441

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How to Cite this Article?

Naw Thiri Wai Khin, Nyo Nyo Yee, "Performance Comparison between Keyword-based and WQCA-based Information Retrieval System", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=ART20193980, Volume 7 Issue 12, December 2018, 1436 - 1441

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