Multi-keyword Context-Oriented diversification search on XML Data using Map-Reduce Framework

Computer Engineering

Recently lots of work is to be done on searching techniques. In searching process user enter particular candidate searching keyword and with the help of searching algorithm respective searching query is executed on targeted dataset and result is return as an output of that algorithm. In this case it is expected that meaningful keyword has to be entered by user to get appropriate result set. In case of confusing bunch of keywords or ambiguity in it or short and indistinctness in it causes an irrelevant searching result. Also searching algorithms works on exact result fetching which can be irrelevant in case problem in input query and keyword. This problem statement is focused in this system. By considering the keyword and its relevant context in XML data, searching is done using automatically diversification process of XML keyword search. This system gives maximum number of results as compare to regular and diversified keyword search using synonym diversification. This synonym diversification gives top-k results having maximum relevance factor. This system reduces time required to search large XML data using HADOOP.Finally Synonym diversification search gives comparatively more results than regular and diversified search in less time. Using HADOOP efficiency of the system is improved.

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