Abstract
With the increasing use of ontologies in Semantic Web and enterprise knowledge management, it is critical to develop scalable and efficient ontology management systems. In this paper, we present Minerva, a storage and inference system for large-scale OWL ontologies on top of relational databases. It aims to meet scalability requirements of real applications and provide practical reasoning capability as well as high query performance. The method combines Description Logic reasoners for the TBox inference with logic rules for the ABox inference. Furthermore, it customizes the database schema based on inference requirements. User queries are answered by directly retrieving materialized results from the back-end database. The effective integration of ontology inference and storage is expected to improve reasoning efficiency, while querying without runtime inference guarantees satisfactory response time. Extensive experiments on University Ontology Benchmark show the high efficiency and scalability of Minerva system.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Brickley, D., Guha, R. (eds.): RDF Vocabulary Description Language 1.0: RDF Schema. W3C Recommendation (2004)
Bechhofer, S., van Harmelen, F., Hendler, J., Horrocks, I., McGuinness, D.L., Patel-Schneider, P.F., Stein, L.A. (eds.): OWL Web Ontology Language Reference. W3C Recommendation (2004)
Baader, F., Calvanese, D., McGuinness, D.L., Nardi, D., Patel-Schneider, P.F. (eds.): The Description Logic Handbook: Theory, Implementation, and Applications. Cambridge University Press, Cambridge (2003)
Haarslev, V., Möller, R.: High Performance Reasoning with Very Large Knowledge Bases. In: DL (2000)
Horrocks, I.: FaCT and iFaCT. In: DL (1999)
IBM’s Integrate Ontology Development Toolkit, http://www.alphaworks.ibm.com/tech/semanticstk
Prud’hommeaux, E., Seaborne, A. (eds.): SPARQL Query Language for RDF. W3C Working Draft (2005)
Grosof, B.N., Horrocks, I., Volz, R., Decker, S.: Description logic programs: combining logic programs with description logic. In: WWW, pp. 48–57 (2003)
Ma, L., Yang, Y., Qiu, Z., Xie, G., Pan, Y., Liu, S.: Towards A Complete OWL Ontology Benchmark. In: Sure, Y., Domingue, J. (eds.) ESWC 2006. LNCS, vol. 4011, Springer, Heidelberg (2006)
Haarslev, V., Möller, R.: RACER System Description. In: Goré, R.P., Leitsch, A., Nipkow, T. (eds.) IJCAR 2001. LNCS (LNAI), vol. 2083, Springer, Heidelberg (2001)
Sirin, E., Parsia, B.: Pellet: An OWL DL Reasoner. In: DL (2004)
Weithöner, T., Liebig, T., Specht, G.: Storing and Querying Ontologies in Logic Databases. In: Proceedings of SWDB 2003, The first International Workshop on Semantic Web and Databases, Co-located with VLDB 2003 (2003)
Beeri, C.: Logic Programming and Databases. In: ICLP (1990)
Carroll, J.J., Dickinson, I., Dollin, C., Reynolds, D., Seaborne, A., Wilkinson, K.: Jena: implementing the semantic web recommendations. In: Alternate Track Papers & Posters WWW (2004)
Broekstra, J., Kampman, A., van Harmelen, F.: Sesame: A Generic Architecture for Storing and Querying RDF and RDF Schema. In: Horrocks, I., Hendler, J. (eds.) ISWC 2002. LNCS, vol. 2342, pp. 54–68. Springer, Heidelberg (2002)
Das, S., Chong, E.I., Eadon, G., Srinivasan, J.: Supporting Ontology-Based Semantic matching in RDBMS. In: Proceedings of the Thirtieth International Conference on Very Large Data Bases (2004)
Agrawal, R., Somani, A., Xu, Y.: Storage and Querying of E-Commerce Data. In: VLDB 2001, Proceedings of 27th International Conference on Very Large Data Bases (2001)
Kiryakov, A., Ognyanov, D., Manov, D.: OWLIM- a pragmatic semantic repository for OWL. In: Proceedings of the 2005 International Workshop on Scalable Semantic Web Knowledge Base Systems, SSWS 2005 (2005)
Pan, Z., Heflin, J.: DLDB: Extending Relational Databases to Support Semantic Web Queries. In: PSSS1 - Proceedings of the First International Workshop on Practical and Scalable Semantic Systems (2003)
Guo, Y., Pan, Z., Heflin, J.: An Evaluation of Knowledge Base Systems for Large OWL Datasets. In: ISWC (2004)
Horrocks, I., Li, L., Turi, D., Bechhofer, S.: The Instance Store: DL Reasoning with Large Numbers of Individuals. In: DL (2004)
Motik, B., Sattler, U.: Practical DL reasoning over large A Boxes with KAON2 (2006), available at, http://kaon2.semanticweb.org/
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Zhou, J., Ma, L., Liu, Q., Zhang, L., Yu, Y., Pan, Y. (2006). Minerva: A Scalable OWL Ontology Storage and Inference System. In: Mizoguchi, R., Shi, Z., Giunchiglia, F. (eds) The Semantic Web – ASWC 2006. ASWC 2006. Lecture Notes in Computer Science, vol 4185. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11836025_42
Download citation
DOI: https://doi.org/10.1007/11836025_42
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-38329-1
Online ISBN: 978-3-540-38331-4
eBook Packages: Computer ScienceComputer Science (R0)