Skip to main content

Knowledge Engineering for Large Ontologies with Sigma KEE 3.0

  • Conference paper
Automated Reasoning (IJCAR 2014)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8562))

Included in the following conference series:

Abstract

The Suggested Upper Merged Ontology (SUMO) is a large, comprehensive ontology stated in higher-order logic. It has co-evolved with a development environment called the Sigma Knowledge Engineering Environment (SigmaKEE). A large and important subset of SUMO can be expressed in first-order logic with equality. SigmaKEE has integrated different reasoning systems in the past, but they either had to be significantly modified, or integrated in a way that multiple queries to the same theory required expensive full re-processing of the full knowledge base.

To overcome this problem, to create a simpler system configuration that is easier for users to install and manage, and to integrate a state-of-the-art theorem prover we have now integrated Sigma with the E theorem prover. The E distribution includes a simple server version that loads and indexes the full knowledge base, and supports interactive queries via a simple interface based on text streams. No special modifications to E were necessary for the integration, so SigmaKEE can be easily upgraded to future versions.

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 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
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. Benzmüller, C., Pease, A.: Progress in automating higher-order ontology reasoning. In: Konev, B., Schmidt, R., Schulz, S. (eds.) Workshop on Practical Aspects of Automated Reasoning (PAAR 2010). CEUR Workshop Proceedings, Edinburgh, UK (2010)

    Google Scholar 

  2. Benzmüller, C., Pease, A.: Reasoning with Embedded Formulas and Modalities in SUMO. In: The ECAI 2010 Workshop on Automated Reasoning about Context and Ontology Evolution (August 2010)

    Google Scholar 

  3. Bond, F., Paik, K.: A survey of wordnets and their licenses. In: Proceedings of the 6th Global WordNet Conference (GWC, Matsue, pp, 64–71 (2012)

    Google Scholar 

  4. Fellbaum, C.: WordNet: An Electronic Lexical Database. Language, Speech, and Communication. MIT Press (1998), http://books.google.com.hk/books?id=Rehu8OOzMIMC

  5. Hoder, K., Voronkov, A.: Sine Qua Non for Large Theory Reasoning. In: Bjørner, N., Sofronie-Stokkermans, V. (eds.) CADE 2011. LNCS, vol. 6803, pp. 299–314. Springer, Heidelberg (2011)

    Chapter  Google Scholar 

  6. Niles, I., Pease, A.: Toward a Standard Upper Ontology. In: Welty, C., Smith, B. (eds.) Proceedings of the 2nd International Conference on Formal Ontology in Information Systems, FOIS 2001 (2001)

    Google Scholar 

  7. Pease, A.: Ontology: A Practical Guide. Articulate Software Press, Angwin (2011)

    Google Scholar 

  8. Pease, A., Benzmller, C.: Sigma: An Integrated Development Environment for Logical Theories. AI Comm. 26, 9–97 (2013)

    Google Scholar 

  9. Pease, A., Li, J.: Controlled English to Logic Translation. In: Poli, R., Healy, M., Kameas, A. (eds.) Theory and Applications of Ontology. Springer (2010)

    Google Scholar 

  10. Pease, A., Li, J., Nomorosa, K.: WordNet and SUMO for Sentiment Analysis. In: Proceedings of the 6th International Global Wordnet Conference (GWC 2012), Matsue, Japan (2012)

    Google Scholar 

  11. Pease, A., Rust, G.: Formal Ontology for Media Rights Transactions. In: Garcia, R. (ed.) Semantic Web Methodologies for E-Business Applications. IGI publishing (2008)

    Google Scholar 

  12. Pease, A., Sutcliffe, G.: First Order Reasoning on a Large Ontology. In: Proceedings of the CADE-21 Workshop on Empirically Successful Automated Reasoning on Large Theories, ESARLT (2007)

    Google Scholar 

  13. Pease, A., Sutcliffe, G., Siegel, N., Trac, S.: Large Theory Reasoning with SUMO at CASC. AI Comm. 23(2-3), 137–144 (2010); Special issue on Practical Aspects of Automated Reasoning

    Google Scholar 

  14. Pelletier, F.J., Sutcliffe, G., Suttner, C.: The Development of CASC. AI Communications 15(2), 79–90 (2002)

    MATH  Google Scholar 

  15. Riazanov, A., Voronkov, A.: The Design and Implementation of VAMPIRE. Journal of AI Communications 15(2/3), 91–110 (2002)

    MATH  Google Scholar 

  16. Schulz, S.: E – A Brainiac Theorem Prover. AI Comm 15(2/3), 111–126 (2002)

    MATH  Google Scholar 

  17. Schulz, S.: System Description: E 1.8. In: McMillan, K., Middeldorp, A., Voronkov, A. (eds.) LPAR-19 2013. LNCS, vol. 8312, pp. 735–743. Springer, Heidelberg (2013)

    Chapter  Google Scholar 

  18. Sutcliffe, G., Suttner, C.: The state of CASC. AI Comm 19(1), 35–48 (2006)

    MATH  MathSciNet  Google Scholar 

  19. Sutcliffe, G., Zimmer, J., Schulz, S.: TSTP Data-Exchange Formats for Automated Theorem Proving Tools. In: Sorge, V., Zhang, W. (eds.) Distributed Constraint Problem Solving and Reasoning in Multi-Agent Systems. Frontiers in Artificial Intelligence and Applications, pp. 201–215. IOS Press (2004)

    Google Scholar 

  20. Sutcliffe, G., Schulz, S., Claessen, K., Van Gelder, A.: Using the TPTP Language for Writing Derivations and Finite Interpretations. In: Furbach, U., Shankar, N. (eds.) IJCAR 2006. LNCS (LNAI), vol. 4130, pp. 67–81. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  21. Sutcliffe, G., Stickel, M., Schulz, S., Urban, J.: Answer Extraction for TPTP, http://www.cs.miami.edu/~tptp/TPTP/Proposals/AnswerExtraction.html (acccessed August 7, 2013)

  22. Trac, S., Sutcliffe, G., Pease, A.: Integration of the TPTPWorld into SigmaKEE. In: Proceedings of IJCAR 2008 Workshop on Practical Aspects of Automated Reasoning (PAAR 2008). CEUR Workshop Proceedings (2008)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer International Publishing Switzerland

About this paper

Cite this paper

Pease, A., Schulz, S. (2014). Knowledge Engineering for Large Ontologies with Sigma KEE 3.0. In: Demri, S., Kapur, D., Weidenbach, C. (eds) Automated Reasoning. IJCAR 2014. Lecture Notes in Computer Science(), vol 8562. Springer, Cham. https://doi.org/10.1007/978-3-319-08587-6_40

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-08587-6_40

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-08586-9

  • Online ISBN: 978-3-319-08587-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics