EconPapers    
Economics at your fingertips  
 

Constructing Temporal Equivalence Partitionings for Keyword Sets

Parvathi Chundi and Mahadevan Subramaniam
Additional contact information
Parvathi Chundi: Department of Computer Science, Peter Kiewit Institute, University of Nebraska-Omaha, Omaha, NE, USA
Mahadevan Subramaniam: Department of Computer Science, Peter Kiewit Institute, University of Nebraska-Omaha, Omaha, NE, USA

International Journal of Knowledge-Based Organizations (IJKBO), 2015, vol. 5, issue 3, 1-18

Abstract: Identifying keyword associations from text and search sources is often used to facilitate many tasks such as understanding relationships among concepts, extracting relevant documents, matching advertisements to web pages, expanding user queries, etc. However, these keyword associations change continually change with time. In this paper, the authors define an equivalence relationship among keywords and develop methods to construct a temporal view of the equivalence relationship by constructing optimal temporal equivalence partitionings for keyword sets. They describe efficient algorithms to construct an optimal temporal equivalence partitioning for a keyword pair. They use the fact that the equivalence relationship is transitive to extend these algorithms to obtain an optimal temporal equivalence partitioning for a larger set of keywords. The authors show the effectiveness of the approach by constructing the temporal equivalence partitionings of several sets of keywords from the Multi-Domain Sentiment data set and the ICWS2009 Spinn3r data set.

Date: 2015
References: Add references at CitEc
Citations Track citations by RSS feed

Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve. ... 018/ijkbo.2015070101 (application/pdf)

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:igg:jkbo00:v:5:y:2015:i:3:p:1-18

Access Statistics for this article

International Journal of Knowledge-Based Organizations (IJKBO) is currently edited by John Wang

More articles in International Journal of Knowledge-Based Organizations (IJKBO) from IGI Global
Series data maintained by Journal Editor ().

 
Page updated 2017-09-29
Handle: RePEc:igg:jkbo00:v:5:y:2015:i:3:p:1-18