Key element-context model: An approach to efficient Web metadata maintenance

Ba Quy Vuong*, Ee Peng Lim, Aixin Sun, Chew Hung Chang, Kalyani Chatterjea, Dion Hoe Lian Goh, Yin Leng Theng, Jun Zhang

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

In this paper, we study the problem of maintaining metadata for open Web content. In digital libraries such as DLESE, NSDL and G-Portal, metadata records are created for some good quality Web content objects so as to make them more accessible. These Web objects are dynamic making it necessary to update their metadata records. As Web metadata maintenance involves manual efforts, we propose to reduce the efforts by introducing the Key element-Context (KeC) model to monitor only those changes made on Web page content regions that concern metadata attributes while ignoring other changes. We also develop evaluation metrics to measure the number of alerts and the amount of efforts in updating Web metadata records. KeC model has been experimented on metadata records defined for Wikipedia articles, and its performance with different settings is reported. The model is implemented in G-Portal as a metadata maintenance module.

Original languageEnglish
Title of host publicationResearch and Advanced Technology for Digital Libraries - 11th European Conference, ECDL 2007, Proceedings
PublisherSpringer Verlag
Pages63-74
Number of pages12
ISBN (Print)9783540748502
DOIs
Publication statusPublished - 2007
Externally publishedYes
Event11th European Conference on Research and Advanced Technology for Digital Libraries, ECDL 2007 - Budapest, Hungary
Duration: Sept 16 2007Sept 21 2007

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4675 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference11th European Conference on Research and Advanced Technology for Digital Libraries, ECDL 2007
Country/TerritoryHungary
CityBudapest
Period9/16/079/21/07

ASJC Scopus Subject Areas

  • Theoretical Computer Science
  • General Computer Science

Fingerprint

Dive into the research topics of 'Key element-context model: An approach to efficient Web metadata maintenance'. Together they form a unique fingerprint.

Cite this