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Metadata Inference for Description Authoring in a Document Composition Environment

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Digital Libraries and Archives (IRCDL 2012)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 354))

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Abstract

In this paper, we propose a simple model for metadata management in a document composition environment. Our model considers (1) composite documents in the form of trees, whose nodes are either atomic documents, or other composite documents, and (2) metadata or descriptions of documents in the form of sets of terms taken from a taxonomy. We present a formal definition of our model and several concepts of inferred descriptions. Inferred descriptions can be used for term suggestion that allows users to easily define and manage document descriptions by taking into account what we call soundness of descriptions.

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Sugibuchi, T., Tuan, L.A., Spyratos, N. (2013). Metadata Inference for Description Authoring in a Document Composition Environment. In: Agosti, M., Esposito, F., Ferilli, S., Ferro, N. (eds) Digital Libraries and Archives. IRCDL 2012. Communications in Computer and Information Science, vol 354. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35834-0_9

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  • DOI: https://doi.org/10.1007/978-3-642-35834-0_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-35833-3

  • Online ISBN: 978-3-642-35834-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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