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) : Singh, A K ; Chowdary, C R


Full Text : https://apps.dtic.mil/dtic/tr/fulltext/u2/a618774.pdf


Report Date : Nov 2014


Pagination or Media Count : 5


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.


Descriptors :   *DOCUMENTS , GRAPHS , INDIA , RANKING


Subject Categories : Information Science


Distribution Statement : APPROVED FOR PUBLIC RELEASE