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RDFa Parser for Hybrid Resources

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8943))

Abstract

In this paper, we propose several mash-up design methodologies that are intended for enhancing human-readable aspects of semantically annotated data resources such as LOD. Proposals are based on the features provided by RDFa format which is an extension of RDF format. So called “semantic parser” have been developed which is an application software to provide data-conversion/transformation service through web API. The parser provides several hybrid features for both human-readable (HR) and machine-readable (MR) resources by using RDFa format.

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Correspondence to Akihiro Fujii .

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© 2015 Springer International Publishing Switzerland

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Fujii, A., Shimizu, H. (2015). RDFa Parser for Hybrid Resources. In: Supnithi, T., Yamaguchi, T., Pan, J., Wuwongse, V., Buranarach, M. (eds) Semantic Technology. JIST 2014. Lecture Notes in Computer Science(), vol 8943. Springer, Cham. https://doi.org/10.1007/978-3-319-15615-6_20

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  • DOI: https://doi.org/10.1007/978-3-319-15615-6_20

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-15614-9

  • Online ISBN: 978-3-319-15615-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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