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An Infrastructure for acquiring high quality semantic metadata

Lei, Yuangui; Sabou, Marta; Lopez, Vanessa; Zhu, Jianhan; Uren, Victoria and Motta, Enrico (2006). An Infrastructure for acquiring high quality semantic metadata. In: 3rd European Semantic Web Conference (ESWC 2006), 11-14 Jun 2006, Budva, Montenegro.

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Because metadata that underlies semantic web applications is gathered from distributed and heterogeneous data sources, it is important to ensure its quality (i.e., reduce duplicates, spelling errors, ambiguities). However, current infrastructures that acquire and integrate semantic data have only marginally addressed the issue of metadata quality. In this paper we present our metadata acquisition infrastructure, ASDI, which pays special attention to ensuring that high quality metadata is derived. Central to the architecture of ASDI is a erification engine that relies on several semantic web tools to check the quality of the derived data. We tested our prototype in the context of building a semantic web portal for our lab, KMi. An experimental evaluation omparing the automatically extracted data against manual annotations indicates that the verification engine enhances the quality of the extracted semantic metadata.

Item Type: Conference or Workshop Item
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Research Group: Centre for Research in Computing (CRC)
Item ID: 3011
Depositing User: Users 12 not found.
Date Deposited: 26 Jun 2006
Last Modified: 07 Dec 2018 18:48
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