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Research Conference on Metadata and Semantics Research

MTSR 2015: Metadata and Semantics Research pp 3–14Cite as

An Orchestration Framework for Linguistic Task Ontologies

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 544))

Abstract

Ontologies provide knowledge representation formalism for expressing linguistic knowledge for computational tasks. However, natural language is complex and flexible, demanding fine-grained ontologies tailored to facilitate solving specific problems. Moreover, extant linguistic ontological resources ignore mechanisms for systematic modularisation to ensure semantic interoperability with task ontologies. This paper presents an orchestration framework to organise and control the inheritance of ontological elements in the development of linguistic task ontologies. The framework is illustrated in the design of new task ontologies for the Bantu noun classification system. Specific use is demonstrated with annotation of lexical items connected to ontology elements terms and with the classification of nouns in the ABox into noun classes.

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Author information

Authors and Affiliations

  1. Department of Computer Science, University of Cape Town, Cape Town, South Africa

    Catherine Chavula & C. Maria Keet

Authors
  1. Catherine Chavula
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  2. C. Maria Keet
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Corresponding author

Correspondence to C. Maria Keet .

Editor information

Editors and Affiliations

  1. Institute of Thessaloniki, Alexander Technological Educational, Thessaloniki, Greece

    Emmanouel Garoufallou

  2. Manchester Metropolitan University, Manchester, United Kingdom

    Richard J. Hartley

  3. Ionian University, Corfu, Greece

    Panorea Gaitanou

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© 2015 Springer International Publishing Switzerland

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Chavula, C., Maria Keet, C. (2015). An Orchestration Framework for Linguistic Task Ontologies. In: Garoufallou, E., Hartley, R., Gaitanou, P. (eds) Metadata and Semantics Research. MTSR 2015. Communications in Computer and Information Science, vol 544. Springer, Cham. https://doi.org/10.1007/978-3-319-24129-6_1

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  • DOI: https://doi.org/10.1007/978-3-319-24129-6_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-24128-9

  • Online ISBN: 978-3-319-24129-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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