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Key Element-Context Model: An Approach to Efficient Web Metadata Maintenance

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Research and Advanced Technology for Digital Libraries (ECDL 2007)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4675))

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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 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.

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László Kovács Norbert Fuhr Carlo Meghini

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© 2007 Springer-Verlag Berlin Heidelberg

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Vuong, BQ. et al. (2007). Key Element-Context Model: An Approach to Efficient Web Metadata Maintenance. In: Kovács, L., Fuhr, N., Meghini, C. (eds) Research and Advanced Technology for Digital Libraries. ECDL 2007. Lecture Notes in Computer Science, vol 4675. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74851-9_6

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  • DOI: https://doi.org/10.1007/978-3-540-74851-9_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-74850-2

  • Online ISBN: 978-3-540-74851-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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