Abstract
Support for modularity allows complex ontologies to be separated into smaller pieces (modules) that are easier to maintain and compute. Instead of considering the entire complex ontology, users may benefit more by starting from a problem-specific set of concepts (signature of problem) from the ontology and exploring its surrounding logical modules. Additionally, an ontology modularization mechanism allows for the splitting up of ontologies into modules that can be processed by isolated separate instances of the inference engine. The relational algorithm, described in this paper, makes it possible to construct an inference engine that can run in a highly scalable cloud computing environment, or on a computer grid.
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References
Grau, B.C., Horrocks, I., Kazakov, Y., Sattler, U.: Modular Reuse of Ontologies: Theory and Practice. Journal of Artificial Intelligence Research 31, 273–318 (2008)
Grau, B.C., Horrocks, I., Kazakov, Y., Sattler, U.: A Logical Framework for Modularity of Ontologies
Suntisrivaraporn, B.: Module Extraction and Incremental Classification: A Pragmatic Approach for EL+ Ontologies (2008)
Grau, B., Parsia, B., Sirin, E., Kalyanpur, A.: Automatic Partitioning of OWL Ontologies Using E-Connections (2005)
Abiteboul, S., Hull, R., Vianu, V.: Foundations of Databases. Addison-Wesley Publishing, Reading (1995)
Baader, F., Calvanese, D., McGuinness, D., Nardi, D., Patel-Schneider, P.: The Description Logic Handbook: Theory, implementation, and applications. Cambridge University Press, Cambridge (2003)
Horrocks, I., Sattler, U.: Decidability of SHIQ with Complex Role Inclusion (2003)
Horrocks, I., Kutz, O., Sattler, U.: The even more irresistible SROIQ (2006)
Horrocks, I., Kutz, O., Sattler, U.: The Even More Irresistible SROIQ
Ontorion Knowledge Server, http://ontorion.com
Noy, N., Sintek, M., Decker, S., Crubezy, M., Fergerson, R., Musen, M.: Creating semantic web contents with protege-2000 (2001)
Tsarkov, D., Horrocks, I.: FaCT++ Description Logic Reasoner: System Description (2006), http://www.comlab.ox.ac.uk/people/ian.horrocks/Publications/download/2006/TsHo06a.pdf
Baader, F., Lutz, C., Suntisrivaraporn, B.: CEL—A Polynomial-time Reasoner for Life Science Ontologies (2006)
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Kaplanski, P. (2009). Syntactic Modular Decomposition of Large Ontologies with Relational Database. In: Nguyen, N.T., Katarzyniak, R.P., Janiak, A. (eds) New Challenges in Computational Collective Intelligence. Studies in Computational Intelligence, vol 244. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03958-4_6
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DOI: https://doi.org/10.1007/978-3-642-03958-4_6
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-03957-7
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