SKOS Sources Transformations for Ontology Engineering: Agronomical Taxonomy Use Case

  • Fabien Amarger
  • Jean-Pierre Chanet
  • Ollivier Haemmerlé
  • Nathalie Hernandez
  • Catherine Roussey
Conference paper

DOI: 10.1007/978-3-319-13674-5_29

Part of the Communications in Computer and Information Science book series (CCIS, volume 478)
Cite this paper as:
Amarger F., Chanet JP., Haemmerlé O., Hernandez N., Roussey C. (2014) SKOS Sources Transformations for Ontology Engineering: Agronomical Taxonomy Use Case. In: Closs S., Studer R., Garoufallou E., Sicilia MA. (eds) Metadata and Semantics Research. MTSR 2014. Communications in Computer and Information Science, vol 478. Springer, Cham

Abstract

Sources like thesauri or taxonomies are already used as input in ontology development process. Some of them are also published on the LOD using the SKOS format. Reusing this type of sources to build an ontology is not an easy task. The ontology developer has to face different syntax and different modelling goals. We propose in this paper a new methodology to transform several non-ontological sources into a single ontology. We take into account: the redundancy of the knowledge extracted from sources in order to discover the consensual knowledge and Ontology Design Patterns (ODPs) to guide the transformation process. We have evaluated our methodology by creating an ontology on wheat taxonomy from three sources: Agrovoc thesaurus, TaxRef taxonomy, NCBI taxonomy.

Keywords

Ontology Development Ontology Design Pattern Non-Ontological Sources SKOS Trust Agriculture 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Fabien Amarger
    • 1
    • 2
  • Jean-Pierre Chanet
    • 2
  • Ollivier Haemmerlé
    • 1
  • Nathalie Hernandez
    • 1
  • Catherine Roussey
    • 2
  1. 1.IRIT, UMR 5505, UT2J, Département de Mathématiques-InformatiqueToulouse CedexFrance
  2. 2.TSCF, Irstea de Clermont FerrandAubièreFrance

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