Paper Info
Title
Domain specific multistage query language for medical document repositories
Abstract
Vast amount of medical information is increasingly available on the Web. As a result, seeking medical information through queries is gaining importance in the medical domain. The existing keyword-based search engines such as Google, Yahoo fail to suffice the needs of the health-care workers (who are well-versed with the domain knowledge required for querying) using these they often face results which are irrelevant and not useful for their tasks. In this paper, we present the need and the challenges for a user-level, domain-specific query language for the specialized document repositories of the medical domain. This topic has not been sufficiently addressed by the existing approaches including SQL-like query languages or general-purpose keyword-based search engines and document-level indexing based search. We aim to bridge the gap between information needs of the skilled/semi-skilled domain users and the query capability provided by the query language. Overcoming such a challenge can facilitate effective use of large volume of information on the Web (and in the electronic health records (EHRs)repositories).
Year
DOI
Venue
2013
10.14778/2536274.2536327
Proceedings of the VLDB Endowment
Keywords
Field
DocType
medical domain,medical information,SQL-like query language,domain knowledge,domain-specific query language,information need,query capability,query language,semi-skilled domain user,existing keyword-based search engine,domain specific multistage query,medical document repository
Data mining,Query language,Computer science,Search engine indexing,Web query classification,Web search query,World Wide Web,RDF query language,Information needs,Domain knowledge,Query expansion,Information retrieval,Database
Journal
Volume
Issue
ISSN
6
12
2150-8097
Citations 
PageRank 
References 
0
0.34
0
Authors
2
Name
Order
Citations
PageRank
Aastha Madaan1426.51
Subhash Bhalla230084.64