Accession Number:

ADA618774

Title:

Centrality based Document Ranking

Descriptive Note:

Conference paper

Corporate Author:

BANARAS HINDU UNIV VARANASI (INDIA) INST OF TECH

Personal Author(s):

Report Date:

2014-11-01

Pagination or Media Count:

5.0

Abstract:

In this paper, we address the problem of ranking clinical documents using centrality based approach. We model the documents to be ranked as nodes in a graph and place edges between documents based on their similarity. Given a query, we compute similarity of the query with respect to every document in the graph. Based on these similarity values, documents are ranked for a given query. Initially, Lucene1 is used to retrieve top fifty documents that are relevant to the query and then our proposed approach is applied on these retrieved documents to re-rank them. Experimental results show that our approach did not perform well as the documents retrieved by Lucene are not among the top 50 documents in the Gold Standard.

Subject Categories:

  • Information Science

Distribution Statement:

APPROVED FOR PUBLIC RELEASE