UTILIZING LOCAL CONTEXT FOR EFFECTIVE INFORMATION RETRIEVAL

Tanveer J. Siddiqui () and Uma Shanker Tiwary ()
Additional contact information
Tanveer J. Siddiqui: J.K. Institute of Applied Physics and Technology, Department of Electronics & Communication, University of Allahabad, Allahabad 211002, India
Uma Shanker Tiwary: Indian Institute of Information Technology, Allahabad 211011, India

International Journal of Information Technology & Decision Making (IJITDM), 2008, vol. 07, issue 01, 5-21

Abstract: Our research focuses on the use of local context through relation matching to improve retrieval effectiveness. An information retrieval (IR) model that integrates relation and keyword matching has been used in this work. The model takes advantage of any existing relational similarity between documents and query to improve retrieval effectiveness. It gives high rank to a document in which the query concepts are involved in similar relationships as in the query, as compared to those in which they are related differently. A conceptual graph (CG) representation has been used to capture relationship between concepts. A simplified form of graph matching has been used to keep our model computationally tractable. Structural variations have been captured during matching through simple heuristics. Four different CG similarity measures have been proposed and used to evaluate performance of our model. We observed a maximum improvement of 7.37% in precision with the second CG similarity measure. The document collection used in this study is CACM-3204. CG similarity measure proposed by us is simple, flexible and scalable and can find application in many IR related tasks like information filtering, information extraction, question answering, document summarization, etc.

Keywords: Information retrieval; relation matching; conceptual graph similarity measure; intelligent retrieval (search for similar items in EconPapers)
Date: 2008
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.worldscientific.com/doi/abs/10.1142/S0219622008002788
Access to full text is restricted to subscribers

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:wsi:ijitdm:v:07:y:2008:i:01:n:s0219622008002788

Ordering information: This journal article can be ordered from

DOI: 10.1142/S0219622008002788

Access Statistics for this article

International Journal of Information Technology & Decision Making (IJITDM) is currently edited by Yong Shi

More articles in International Journal of Information Technology & Decision Making (IJITDM) from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().