Indexing on IR System by sing Stemming and Stopwords
Jennifer. P1, A. Muthukumaravel2

1Jennifer. P, Research Scholar, Assistant Professor, Department of CS, Faculty of Arts & Science, BIHER, Chennai (Tamil Nadu), India.
2Dr. A. Muthukumaravel, Dean-Faculty of Arts & Science, BIHER, Chennai (Tamil Nadu), India.
Manuscript received on 21 May 2019 | Revised Manuscript received on 07 June 2019 | Manuscript Published on 15 June 2019 | PP: 281-283 | Volume-8 Issue-1S2 May 2019 | Retrieval Number: A00650581S219/2019©BEIESP
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Abstract: Information retrieval system completely happened through keyword searching and it compromises with a very large search space as documents to be searched can be of any length and thus time to search in a whole document is also proportional to length of documents i.e. number of words in all documents. By shortening this large search space search time can also be lessening. Searching of data relevant to our query is done by information retrieval system. Keyword searching is the basic idea of this system which tries to solve the large search space problem as the documents to be searched could be of any length. This means time to search will increase with length of document. Search time will be reduced by reducing the search space. In this, we are constructing a method which reduces the searching area with the help of indexing that takes the help of stemming method and knowledge of stop words. Representation of both, a word and more than one word are done by creating Indices using single concept. The recall is improved by including domain knowledge using ontology while searching.
Keywords: Cloud Computing, Data Security, User Behavior, Decoy Technology, Fingerprint Authentication, Face Recognition.
Scope of the Article: Cloud Computing