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.
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References
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)
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)
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)
Fellbaum, C.: WordNet: An Electronic Lexical Database. Language, Speech, and Communication. MIT Press (1998), http://books.google.com.hk/books?id=Rehu8OOzMIMC
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)
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)
Pease, A.: Ontology: A Practical Guide. Articulate Software Press, Angwin (2011)
Pease, A., Benzmller, C.: Sigma: An Integrated Development Environment for Logical Theories. AI Comm. 26, 9–97 (2013)
Pease, A., Li, J.: Controlled English to Logic Translation. In: Poli, R., Healy, M., Kameas, A. (eds.) Theory and Applications of Ontology. Springer (2010)
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)
Pease, A., Rust, G.: Formal Ontology for Media Rights Transactions. In: Garcia, R. (ed.) Semantic Web Methodologies for E-Business Applications. IGI publishing (2008)
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)
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
Pelletier, F.J., Sutcliffe, G., Suttner, C.: The Development of CASC. AI Communications 15(2), 79–90 (2002)
Riazanov, A., Voronkov, A.: The Design and Implementation of VAMPIRE. Journal of AI Communications 15(2/3), 91–110 (2002)
Schulz, S.: E – A Brainiac Theorem Prover. AI Comm 15(2/3), 111–126 (2002)
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)
Sutcliffe, G., Suttner, C.: The state of CASC. AI Comm 19(1), 35–48 (2006)
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)
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)
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)
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)
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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
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DOI: https://doi.org/10.1007/978-3-319-08587-6_40
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