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Efficient Module Extraction for Large Ontologies

  • Venkata Krishna Chaitanya Turlapati
  • Sreenivasa Kumar Puligundla
Part of the Communications in Computer and Information Science book series (CCIS, volume 394)

Abstract

Modularity of ontologies has gained importance due to its application in ontology reasoning, ontology reuse and other areas of ontology engineering. One technique for extracting modules is by using Atomic Decomposition (AD). This paper uses MGS-Labels (Minimal Globalising Signatures) to improve the state-of-the-art approach which uses MSS-Labels (Minimal Seed Signatures) in terms of pre-processing time and memory requirement. It also improves the module extraction-time by reducing the number of containment checks in the worst case. We further improve the algorithm by introducing the notion of MGS-Space. We propose uniqueness properties about MGS-Space that help us to build indices and extract modules using simple operations on integers.

Keywords

Description Logic Principal Ideal Input Signature Atomic Decomposition Module Extraction 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Grau, B.C., Horrocks, I., Kazakov, Y., Sattler, U.: Just the right amount: extracting modules from ontologies. In: WWW, pp. 717–726 (2007)Google Scholar
  2. 2.
    Grau, B.C., Horrocks, I., Kazakov, Y., Sattler, U.: Modular reuse of ontologies: Theory and practice. JAIR 31, 273–318 (2008)zbMATHGoogle Scholar
  3. 3.
    Konev, B., Lutz, C., Walther, D., Wolter, F.: Formal Properties of Modularisation. In: Stuckenschmidt, H., Parent, C., Spaccapietra, S. (eds.) Modular Ontologies. LNCS, vol. 5445, pp. 25–66. Springer, Heidelberg (2009)CrossRefGoogle Scholar
  4. 4.
    Kontchakov, R., Pulina, L., Sattler, U., Schneider, T., Selmer, P., Wolter, F., Zakharyaschev, M.: Minimal module extraction from dl-lite ontologies using qbf solvers. IJCAI, 836–841 (2009)Google Scholar
  5. 5.
    Lutz, C., Walther, D., Wolter, F.: Conservative extensions in expressive description logics. IJCAI, 453–458 (2007)Google Scholar
  6. 6.
    Lutz, C., Wolterinst, F.: Conservative extensions in the lightweight description logic EL. In: Pfenning, F. (ed.) CADE 2007. LNCS (LNAI), vol. 4603, pp. 84–99. Springer, Heidelberg (2007)CrossRefGoogle Scholar
  7. 7.
    Sattler, U., Schneider, T., Zakharyaschev, M.: Which kind of module should i extract? In: Description Logics (2009)Google Scholar
  8. 8.
    Tsarkov, D.: Improved algorithms for module extraction and atomic decomposition. In: Description Logics (2012)Google Scholar
  9. 9.
    Tsarkov, D., Palmisano, I.: Divide et impera: Metareasoning for large ontologies. In: OWLED (2012)Google Scholar
  10. 10.
    Del Vescovo, C., Gessler, D.D.G., Klinov, P., Parsia, B., Sattler, U., Schneider, T., Winget, A.: Decomposition and modular structure of bioPortal ontologies. In: Aroyo, L., Welty, C., Alani, H., Taylor, J., Bernstein, A., Kagal, L., Noy, N., Blomqvist, E. (eds.) ISWC 2011, Part I. LNCS, vol. 7031, pp. 130–145. Springer, Heidelberg (2011)CrossRefGoogle Scholar
  11. 11.
    Del Vescovo, C., Parsia, B., Sattler, U., Schneider, T.: The modular structure of an ontology: Atomic decomposition. IJCAI, 2232–2237 (2011)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Venkata Krishna Chaitanya Turlapati
    • 1
  • Sreenivasa Kumar Puligundla
    • 1
  1. 1.Department of Computer Science & EngineeringIndian Institute of Technology MadrasChennaiIndia

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