AN INVESTIGATIVE SCHEME FOR KEYWORD SEARCH USING INVERTED KEY TACTIC

Dnyaneshwar K. Bhujbal, Preeti Sharma

Abstract: Unverified classification of outlines that is data items, observations or feature vectors into groups is called as Clustering. To retrieve a document from a group of documents according to a set of keywords efficiently, Inverted lists are mostly used instead of Keyword Search. Keyword Search is one of the most important activities in Information Retrieval System. As study shows in latest years, Keyword search is widely used by users to access text data. Keyword search is appropriate for document gatherings as well as for accessing structured or semi-structured data, XML documents relational databases and relational tables which can also be regarded as sets of documents. This is done by a keyword as query user retrieve documents. To proficiently retrieve documents, a data structure is used, that maps each word in the dataset, to a list of IDs of documents in which the word appears. The inverted index for a document collection consists of a set of so-called inverted lists, known as posting lists

Keywords: Keyword Search, Index Compression, Document Reordering, Rendering

DOI: https://doi.org/10.15623/ijret.2014.0306037