mirage

Discovery of concept entities from web sites using web unit mining.

DSpace/Manakin Repository

 

Search DR-NTU


Advanced Search Subject Search

Browse

My Account

Discovery of concept entities from web sites using web unit mining.

Show simple item record

dc.contributor.author Yin, Ming.
dc.contributor.author Goh, Dion Hoe-Lian.
dc.contributor.author Lim, Ee Peng.
dc.contributor.author Sun, Aixin.
dc.date.accessioned 2010-02-19T06:32:34Z
dc.date.available 2010-02-19T06:32:34Z
dc.date.copyright 2005
dc.date.issued 2010-02-19T06:32:34Z
dc.identifier.citation Yin, M., Goh, H. L., Lim, E P., & Sun, A. (2005). Discovery of concept entities from web sites using web unit mining. International Journal of Web Information Systems, 20, 1-13.
dc.identifier.issn 1744-0084
dc.identifier.uri http://hdl.handle.net/10220/6193
dc.description.abstract A web site usually contains a large number of concept entities, each consisting of one or more web pages connected by hyperlinks. In order to discover these concept entities for more expressive web site queries and other applications, the web unit mining problem has been proposed. Web unit mining aims to determine web pages that constitute a concept entity and classify concept entities into categories. Nevertheless, the performance of an existing web unit mining algorithm, iWUM, suffers as it may create more than one web unit (incomplete web units) from a single concept entity. This paper presents two methods to solve this problem. The first method introduces a more effective web fragment construction method so as reduce later classification errors. The second method incorporates site-specific knowledge to discover and handle incomplete web units. Experiments show that incomplete web units can be removed and overall accuracy has been significantly improved, especially on the precision and F1 measures.
dc.format.extent 13 p.
dc.language.iso en
dc.relation.ispartofseries International journal of web information systems
dc.subject DRNTU::Engineering::Computer science and engineering::Computer systems organization::Computer-communication networks.
dc.title Discovery of concept entities from web sites using web unit mining.
dc.type Journal Article
dc.contributor.school Wee Kim Wee School of Communication and Information
dc.identifier.openurl http://www.emeraldinsight.com/Insight/viewContentItem.do?contentType=Article&hdAction=lnkpdf&contentId=1614095
dc.description.version Published version

Files in this item

Files Size Format View Description
2005-wum-jwis.pdf 244.0Kb PDF View/Open Main article

This item appears in the following Collection(s)

Show simple item record

Statistics

Total views

All Items Views
Discovery of concept entities from web sites using web unit mining. 439

Total downloads

All Bitstreams Views
2005-wum-jwis.pdf 267

Top country downloads

Country Code Views
Singapore 76
United States of America 71
China 65
Russian Federation 13
Japan 10

Top city downloads

city Views
Singapore 76
Beijing 52
Mountain View 48
Bellevue 7
Coimbra 4

Downloads / month

  2014-02 2014-03 2014-04 total
2005-wum-jwis.pdf 0 0 4 4