Paper Info
Title
Ranked queries over sources with Boolean query interfaces without ranking support
Abstract
Many online or local data sources provide powerful querying mechanisms but limited ranking capabilities. For instance, PubMed allows users to submit highly expressive Boolean keyword queries, but ranks the query results by date only. However, a user would typically prefer a ranking by relevance, measured by an Information Retrieval (IR) ranking function. The naive approach would be to submit a disjunctive query with all query keywords, retrieve the returned documents, and then re-rank them. Unfortunately, such an operation would be very expensive due to the large number of results returned by disjunctive queries. In this paper we present algorithms that return the top results for a query, ranked according to an IR-style ranking function, while operating on top of a source with a Boolean query interface with no ranking capabilities (or a ranking capability of no interest to the end user). The algorithms generate a series of conjunctive queries that return only documents that are candidates for being highly ranked according to a relevance metric. Our approach can also be applied to other settings where the ranking is monotonic on a set of factors (query keywords in IR) and the source query interface is a Boolean expression of these factors. Our comprehensive experimental evaluation on the PubMed database and TREC dataset show that we achieve order of magnitude improvement compared to the current baseline approaches.
Year
DOI
Venue
2010
10.1109/ICDE.2010.5447918
Data Engineering
Keywords
Field
DocType
query processing,relevance feedback,user interfaces,Boolean query interfaces,PubMed algorithm,conjunctive queries,disjunctive query,information retrieval ranking function,query keywords,query ranking,querying mechanisms,ranking support,relevance metric,relevance ranking
Query optimization,Range query (database),Web search query,Data mining,Query language,Query expansion,Ranking SVM,Information retrieval,Computer science,Web query classification,Ranking (information retrieval),Database
Conference
ISSN
ISBN
Citations 
1084-4627
978-1-4244-5444-0
6
PageRank 
References 
Authors
0.49
12
3
Name
Order
Citations
PageRank
Vagelis Hristidis12814185.78
Yuheng Hu222415.88
Panagiotis G. Ipeirotis34528270.32