Paper Title :Context Based Document Retrieval Using Taxonomic Tree Structure
Author :Veena Talikoti, M.Velammal
Article Citation :Veena Talikoti ,M.Velammal ,
(2015 ) " Context Based Document Retrieval Using Taxonomic Tree Structure " ,
International Journal of Advance Computational Engineering and Networking (IJACEN) ,
pp. 130-132,
Volume-3, Issue-6
Abstract : Document retrieval is task of retrieving relevant documents according to user query. This paper solves a major
problem in text based information retrieval, using the limited set of query terms given by user and extracting small set of
relevant documents in a large document set. We propose search queries formulation for each query entity based on some
supplementary information so that to detect target entity from the set of retrieved documents. Proposed method utilizes
contextual information formed by word relationships contained in the document collection, and auxiliary information is
given by context terms evaluated through the expression of a relation. To facilitate the specification of search queries and
document comparison at retrieval time, user key words are compared against taxonomic tree structure computed using
context database. If the retrieved document is less than top K documents KNN algorithm is applied on taxonomic tree
structure, to retrieve top K relevant documents. Document relevance is determined by comparing the similarity of search and
document tree structure. The disclosed system attains greater search precision by retrieving relevant documents based on
context and facilitating easier search specification.
Keywords—Information retrieval; context term;term frequency; Taxonomic tree structure;Relation extraction; Relation
completion
Type : Research paper
Published : Volume-3, Issue-6
DOIONLINE NO - IJACEN-IRAJ-DOIONLINE-2372
View Here
Copyright: © Institute of Research and Journals
| |
 |
| |
 |
PDF |
| |
Viewed - 77 |
| |
Published on 2015-06-17 |
|
