Query Expansion For Medical Domain To Augment The Web Search
R.Uma1, B.Latha2, R.Valarmathi3
1R.Uma, Associate professor, Department of Computer Science and Engineering, Sri Sairam Engineering College, West Tambaram, Chennai, Tamilnadu, India.
2Dr. B. Latha, Professor, Department of Computer Science and Engineering, Sri Sairam Engineering College, West Tambaram, Chennai, Tamilnadu, India.
3R.Valarmathi, Associate professor, Department of Computer Science and Engineering, Sri Sairam Engineering College, West Tambaram, Chennai, Tamilnadu, India.
Manuscript received on September 13, 2019. | Revised Manuscript received on October 20, 2019. | Manuscript published on October 30, 2019. | PP: 5284-5287 | Volume-9 Issue-1, October 2019 | Retrieval Number: A2958109119/2019©BEIESP | DOI: 10.35940/ijeat.A2958.109119
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: There has been a huge upsurge in the data available on the web making it voluminous over the last few years. Most users who search the internet for the medical information have no adequate knowledge about the medical domain. Understanding queries plays a huge role in helping users navigate through the abundant data and find the required information. Query feedbacks generally drift from the topic due to the various vocabulary mismatches or due to the ambiguous synonyms. A system has been developed to bridge the gap between expert users and the laypersons. We develop a system where by users query is enhanced by adding terms provided by experts. The appropriate query term is added from a medical expert vocabulary which is selected by the classifier based on the euclidean distance and a term based methodology for deciphering the query reformulation actions. The proposed system performs well in terms of precision and recall.
Keywords: Query formulation, Health search, Medical informatics function.