Encyclopedia of Database Systems

Living Edition
| Editors: Ling Liu, M. Tamer Özsu

Ontology Engineering

Living reference work entry
DOI: https://doi.org/10.1007/978-1-4899-7993-3_1315-2

Synonyms

Definition

Ontology engineering is “the set of activities that concern the ontology development process, the ontology life cycle, and the methodologies, tools and languages for building ontologies” [1]. It provides “a basis of building models of all things in which computer science is interested” [4]. Ontology engineering aims at providing standard components for building knowledge models. Ontologies play a similar role to design rationale in mechanical design. It allows the reuse of knowledge in a knowledge base by providing conceptualization, reflecting assumptions and requirements made in the problem-solving using the knowledge base. Ontology engineering provides the means to build and use ontologies for building models.

Ontology Engineering: Details

Mizoguchi and Ikeda [4] define eight levels (from shallow to deep) of using ontologies. At level 1, ontologies are used as a common vocabulary for communication. At level 2, it is used as a conceptual...

This is a preview of subscription content, log in to check access.

Recommended Reading

  1. 1.
    G’omez-P’erez A, Fern’andez-L’opez M, Corcho O. Ontological engineering. London: Springer; 2004.Google Scholar
  2. 2.
    Gal A, Modica G, Jamil H, Eyal A. Automatic ontology matching using application semantics. AI Mag. 2005;26(1):21–32.Google Scholar
  3. 3.
    Kitamura Y, Kashiwase M, Fuse M, Mizoguchi R. Deployment of an ontological framework of functional design knowledge. Adv Eng Inform. 2004;18(2):115–27.CrossRefGoogle Scholar
  4. 4.
    Mizoguchi R, Ikeda M. Towards ontology engineering. Technical report AI-TR-96-1, I.S.I.R., Osaka University. 1996.Google Scholar
  5. 5.
    Paslaru Bontas E, Tempich C. Ontology engineering: a reality check. In: The 5th International Conference on Ontologies, DataBases, and Applications of Semantics (ODBASE2006), volume 4275 of Lecture Notes in Computer Science (LNCS). Montpellier: Springer; 2006. p. 836–54.Google Scholar
  6. 6.
    Sure Y, Tempich C, Vrandecic D. Ontology engineering methodologies. In Semantic Web Technologies: Trends and Research in Ontology-based Systems. Springer; 2006.Google Scholar

Copyright information

© Springer Science+Business Media LLC 2017

Authors and Affiliations

  1. 1.Faculty of Industrial Engineering & ManagementTechnion–Israel Institute of TechnologyHaifaIsrael