Skip to main content

FONTE: A Protégé Plug-in for Engineering Complex Ontologies

  • Conference paper
Enterprise Information Systems (ICEIS 2010)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 73))

Included in the following conference series:

Abstract

Humans have a natural ability to reason about scenarios including spatial and temporal information but for several reasons the process of developing complex ontologies including time and/or space is still not well developed and it remains an one-off, labour intensive experience. In this paper we present Fonte (Factorising ONTology Engineering complexity), an ontology engineering methodology that relies on a divide and conquer strategy. The targeted complex ontology is built by assembling modular ontologies that capture temporal, spatial and domain (atemporal and aspatial) aspects. In order to support the proposed methodology we developed a plug-in for Protégé.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Harmelen, F., Lifschitz, V., Porter, B.: Handbook of Knowledge Representation. Elsevier, Amsterdam (2008)

    Google Scholar 

  2. Staab, S., Maedche, A.: Knowledge portals: Ontologies at work. AI Magazine 22, 63–75 (2001)

    Google Scholar 

  3. Vale, Z., Ramos, C., Faria, L., Malheiro, N., Marques, A., Rosado, C.: Real-time inference for knowledge-based applications in power system control centers. Journal on Systems Analysis Modelling Simulation (SAMS) 42, 961–973 (2002)

    Google Scholar 

  4. Milea, D., Frasincar, F., Kaymak, U.: An OWL-Based Approach Towards Representing Time in Web Information Systems. In: Procs of 20th Belgian-Dutch Conference on Artificial Intelligence, pp. 343–344 (2008)

    Google Scholar 

  5. Santos, J., Staab, S.: Engineering a complex ontology with time. In: 18th International Joint Conference on Artificial Intelligence (IJCAI), Acapulco/Mexico, pp. 1406–1407 (2003)

    Google Scholar 

  6. Santos, J., Staab, S.: FONTE - Factorizing ONTology Engineering complexity. In: The Second International Conference on Knowledge Capture (K-Cap 2003), Florida/USA, pp. 146–153 (2003)

    Google Scholar 

  7. Cormen, T.H., Leiserson, C.E., Rivest, R.L.: Introduction to Algorithms. MIT Press, Cambridge (2000)

    Google Scholar 

  8. Stock, O.: Spatial and Temporal Reasoning. Kluwer Academic Publishers, Norwell (1997)

    Book  Google Scholar 

  9. Fisher, M., Gabbay, D., Vila, L. (eds.): Handbook of Temporal Reasoning in Artificial Intelligence. Foundations of Artificial Intelligence Series, vol. 1. Elsevier Science & Technology Books (2005)

    Google Scholar 

  10. Vila, L., Schwalb, E.: A theory of time and temporal incidence based on instants and periods. In: Proc.International Workshop on Temporal Representation and Reasoning, pp. 21–28 (1996)

    Google Scholar 

  11. Cohn, A.G., Renz, J.: Qualitative Spatial Representation and Reasoning. In: Handbook of Knowledge Representation, pp. 551–596. Elsevier, Amsterdam (2007)

    Google Scholar 

  12. Gruber, T.: Towards Principles for the Design of Ontologies Used for Knowledge Sharing. In: Formal Ontology in Conceptual Analysis and Knowledge Representation, pp. 93–104. Kluwer, Dordrecht (1993)

    Google Scholar 

  13. Staab, S., Studer, R. (eds.): Handbook on Ontologies. Springer, Heidelberg (2004)

    Google Scholar 

  14. Studer, R., Decker, S., Fensel, D., Staab, S.: Situation and Perspective of Knowledge Engineering. In: Knowledge Engineering and Agent Technology, vol. 52. IOS Press, Amsterdam (2004)

    Google Scholar 

  15. Welty, C., Fikes, R., Makarios, S.: A reusable ontology for fluents in OWL. In: Proceedings of FOIS, pp. 226–236 (2006)

    Google Scholar 

  16. Lutz, C., Walther, D., Wolter, F.: Conservative Extensions in Expressive Description Logics. In: Veloso, M. (ed.) Procs. of Twentieth International Joint Conference on Artificial Intelligence (IJCAI 2007), pp. 453–458. AAAI Press, Menlo Park (2007)

    Google Scholar 

  17. Grau, B.C., Horrocks, I., Kazakov, Y., Sattler, U.: A logical framework for modularity of ontologies. In: Proc. IJCAI 2007, pp. 298–304. AAAI, Menlo Park (2007)

    Google Scholar 

  18. Schreiber, G., Akkermans, H., Anjewierden, A., Hoog, R., Shadbolt, N., Van de Velde, W., Wielinga, B.: Knowledge engineering and management, The CommonKADS Methodology. MIT Press, Cambridge (1999)

    Google Scholar 

  19. Clark, P., Thompson, J., Porter, B.: Knowledge patterns. In: KR 2000, pp. 591–600 (2000)

    Google Scholar 

  20. Staab, S., Erdmann, M., Maedche, A.: Engineering ontologies using semantic patterns. In: Procs. IJCAI 2001 Workshop on E-Business & the Intelligent Web (2001)

    Google Scholar 

  21. Noy, N., Musen, M.: PROMPT: Algorithm and Tool for Automated Ontology Merging and Alignment. In: MIT Press/AAAI Press (ed.) Proc. AAAI 2000, Austin, Texas (2000)

    Google Scholar 

  22. Parent, C., Spaccapietra, S., Zimányi, E.: Conceptual Modeling for Traditional and Spatio-Temporal Applications: The MADS Approach. Springer-Verlag New York, Inc., Secaucus (2006)

    Google Scholar 

  23. Vilain, M., Kautz, H., Beek, P.: Constraint propagation algorithms: a revised report. Readings in Qualitative Reasoning about Physical Systems (1989)

    Google Scholar 

  24. Allen, J.: Maintaining knowledge about temporal intervals. Communication ACM 26, 832–843 (1983)

    Article  Google Scholar 

  25. Freksa, C.: Temporal reasoning based on semi-intervals. Artificial Intelligence 54, 199–227 (1992)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Santos, J., Braga, L., Cohn, A.G. (2011). FONTE: A Protégé Plug-in for Engineering Complex Ontologies. In: Filipe, J., Cordeiro, J. (eds) Enterprise Information Systems. ICEIS 2010. Lecture Notes in Business Information Processing, vol 73. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19802-1_16

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-19802-1_16

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-19801-4

  • Online ISBN: 978-3-642-19802-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics