An Efficient Converse Mapping Technique in Modern Information Retrieval
M. Ramya1, E. Thenmozhi2
1M. Ramya, Computer Science and Engineering, Sathyabama University, Chennai, India.
2E. Thenmozhi, Computer Science and Engineering, Sathyabama University, Chennai, India.
Manuscript received on January 25, 2014. | Revised Manuscript received on February 13, 2014. | Manuscript published on February 28, 2014. | PP: 312-315 | Volume-3, Issue-3, February 2014. | Retrieval Number: C2726023314/2013©BEIESP
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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: A traditional forward dictionary maps from words to their definitions. Unlike a regular dictionary, the reverse dictionary performs converse mapping that maps from definitions to words. The user input phrase describes the definition of desired concept, and returns an efficient candidate word that satisfies the input phrase. The reverse dictionary addresses the widespread problem of knowing the meaning of a word, but unable to recall the appropriate word on demand. The converse mapping technique finds the exact result for the user entered keyword by comparing the partitioned input with dictionary database. The partitioning method increases the overall scalability and distributes the data across multiple threads. The efficiency of the reverse dictionary can be improved by reducing the set of definitions in the comparison process. The query expansion technique is used to improve the potential of reverse dictionary and increases the probability of identifying relevant definition. The approaches of reverse mapping provide significant improvements in the performance scale. The converse mapping technique in modern information retrieval extracts the best matched result without sacrificing the quality of the solution.
Keywords: Dictionaries, Thesauruses, Search process, Web-based services.