A comprehensive framework for building multilingual domain ontologies: creating a prototype biosecurity ontology

  • Authors:

  • Boris Lauser;Tanja Wildemann;Allison Poulos;Frehiwot Fisseha;Johannes Keizer;Stephen Katz

  • Affiliations:

  • Food and Agriculture Organization of the UN, Rome, Italy;Food and Agriculture Organization of the UN, Rome, Italy;Food and Agriculture Organization of the UN, Rome, Italy;Food and Agriculture Organization of the UN, Rome, Italy;Food and Agriculture Organization of the UN, Rome, Italy;Food and Agriculture Organization of the UN, Rome, Italy

  • Venue:
  • DCMI '02 Proceedings of the 2002 international conference on Dublin core and metadata applications: Metadata for e-communities: supporting diversity and convergence
  • Year:
  • 2002

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Abstract

This paper presents our ongoing work in establishing a multilingual domain ontology for a biosecurity portal. As a prototypical approach, this project is embedded into the bigger context of the Agricultural Ontology Service (AOS) project of the Food and Agriculture Organization (FAO) of the UN. The AOS will act as a reference tool for ontology creation assistance and herewith enable the transfer of the agricultural domain towards the Semantic Web. The paper focuses on introducing a comprehensive, reusable framework for the process of semi-automatically supported ontology evolvement, which aims to be used in follow-up projects and can eventually be applied to any other domain. Within the multinational context of the FAO, multilingual aspects play a crucial role and therefore an extendable layered ontology modelling approach will be described within the framework. The paper will present the project milestones achieved so far: the creation of a core ontology, the semiautomatic extension of this ontology using a heuristic toolset, and the representation of the resulting ontology in a multilingual web portal. The reader will be provided with a practical example for the creation of a specific domain ontology, which can be applied to any possible domain. Future projects, including automatic text classification, and ontology facilitated search opportunities, will be addressed at the end of the paper.