Key element-context model: an approach to efficient web metadata maintenance

Authors:
Ba-Quy Vuong;Ee-Peng Lim;Aixin Sun;Chew-Hung Chang;Kalyani Chatterjea;Dion Hoe-Lian Goh;Yin-Leng Theng;Jun Zhang
Affiliations:
Nanyang Technological University, Singapore;Nanyang Technological University, Singapore;Nanyang Technological University, Singapore;Nanyang Technological University, Singapore;Nanyang Technological University, Singapore;Nanyang Technological University, Singapore;Nanyang Technological University, Singapore;Nanyang Technological University, Singapore
Venue:
ECDL'07 Proceedings of the 11th European conference on Research and Advanced Technology for Digital Libraries
Year:
2007

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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 tomonitor 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.