A Horizontal Segmentation Based Ontology Parallel Query Approach

Article Preview

Abstract:

The performance of ontology query has become one of the bottlenecks of the large-scale bulk applications. Firstly OWL ontology files stored into the database in the form of triple table using Oracle 11g semantic technology. And then we designed and implemented the ontology parting method based on horizontal segmentation. Thirdly, several typical ontology query operations were achieved based on the multi-threading technology. Experimental results show that the parallel query methods described herein significantly improve query performance.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 760-762)

Pages:

1978-1981

Citation:

Online since:

September 2013

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Oren, E., Kotoulas, S., Anadiotis, G., Siebes, R., ten Teije, A., van Harmelen, F.: Marvin: Distributed reasoning over large-scale semantic web data. Journal of Web Semantics. No. 7, p.305–316, (2009).

DOI: 10.1016/j.websem.2009.09.002

Google Scholar

[2] Kotoulas S., Oren E., Harmelen F.: Mind the data skew: distributed inferencing by speed dating in elastic regions, in: Proceedings of the WWW, (2010).

DOI: 10.1145/1772690.1772745

Google Scholar

[3] Urbani, J.: RDFS/OWL Reasoning Using the MapReduce Framework. Research Report, Vrije Universiteit of Amsterdam, (2009).

Google Scholar

[4] Piple of LarKC. http: /www. Larkc. eu/2010/odaf-europe-2010-Semantic-statistics. pdf, (2010).

Google Scholar

[5] Weaver, J., Hendler, J.A.: Parallel Materialization of the Finite RDFS Closure for Hundreds of Millions of Triples. In: Bernstein, A., Karger, D.R., Heath, T., Feigenbaum, L., Maynard, D., Motta, E., Thirunarayan, K. (eds. ) ISWC 2009. LNCS, vol. 5823, p.682–697. Springer, Heidelberg, (2009).

DOI: 10.1007/978-3-642-04930-9_43

Google Scholar

[6] Hogan, A., Pan, J.Z., Polleres, A., Decker, S.: Saor: Template Rule Optimisations for Distributed Reasoning over 1 Billion Linked Data Triples. In: Patel-Schneider, P.F., Pan, Y., Hitzler, P., Mika, P., Zhang, L., Pan, J.Z., Horrocks, I., Glimm, B. (eds. ) ISWC 2010, Part I. LNCS, vol. 6496, p.337–353. Springer, Heidelberg, (2010).

DOI: 10.1007/978-3-642-17746-0_22

Google Scholar

[7] Serafini, L., Tamilin, A.: DRAGO: Distributed Reasoning Architecture for the Semantic Web. In: G ´omez-P´erez, A., Euzenat, J. (eds. ) ESWC 2005. LNCS, vol. 3532, p.361–376. Springer, Heidelberg, (2005).

DOI: 10.1007/11431053_25

Google Scholar

[8] Schlicht, A., Stuckenschmidt, H.: Distributed Resolution for ALC. In: Description Logics Workshop, (2008).

Google Scholar

[9] Schlicht, A., Stuckenschmidt, H.: Distributed Resolution for Expressive Ontology Networks. In: Polleres, A., Swift, T. (eds. ) RR 2009. LNCS, vol. 5837, p.87–101. Springer, Heidelberg, (2009).

DOI: 10.1007/978-3-642-05082-4_7

Google Scholar

[10] Urbani, J., Kotoulas, S., Maassen, J., van Harmelen, F., Bal, H.: Owl Reasoning with Webpie: Calculating the Closure of 100 Billion Triples. In: Aroyo, L., Antoniou, G., Hyvonen, E., ten Teije, A., Stuckenschmidt, H., Cabral, L., Tudorache, T. (eds. ) ESWC 2010. LNCS, vol. 6088, p.213–227. Springer, Heidelberg, (2010).

DOI: 10.1007/978-3-642-13486-9_15

Google Scholar

[11] Urbani, J., Kotoulas, S., Oren, E., van Harmelen, F.: Scalable Distributed Reasoning using Mapreduce. In: Bernstein, A., Karger, D.R., Heath, T., Feigenbaum, L., Maynard, D., Motta, E., Thirunarayan, K. (eds. ) ISWC 2009. LNCS, vol. 5823, p.634–649. Springer, Heidelberg, (2009).

DOI: 10.1007/978-3-642-04930-9_40

Google Scholar

[12] Wu, G., Qi, G., Du, J.: Finding all justifications of owl entailments using tms and mapre-ducec. In: The ACM Conference on Information and Knowledge Management, (2011).

DOI: 10.1145/2063576.2063782

Google Scholar

[13] Maier, R.M.F., Hitzler, P.: A MapReduce algorithm for el+. In: Proc. of International Workshop of Description Logic, (2010).

Google Scholar

[14] Lehigh University. http: /swat. cse. lehigh. edu/projects/lubm/, (2009).

Google Scholar