Abstract
Traditionally, Linked Data query engines execute SPARQL queries over a materialised repository which on the one hand, guarantees fast query answering but on the other hand requires time and resource consuming preprocessing steps. In addition, the materialised repositories have to deal with the ongoing challenge of maintaining the index which is – given the size of the Web – practically unfeasible. Thus, the results for a given SPARQL query are potentially out-dated. Recent approaches address the result freshness problem by answering a given query directly over dereferenced query relevant Web documents. Our work investigate the problem of an efficient selection of query relevant sources under this context. As a part of query optimization, source selection tries to estimate the minimum number of sources accessed in order to answer a query. We propose to summarize and index sources based on frequently appearing query graph patterns mined from query logs. We verify the applicability of our approach and empirically show that our approach significantly reduces the number of relevant sources estimated while keeping the overhead low.
The work presented in this paper has been funded in part by Science Foundation Ireland under Grant No. SFI/08/CE/I1380 (Lion-2).
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Berners-Lee, T.: Linked Data - Design Issues, http://www.w3.org/DesignIssues/LinkedData.html
Cyganiak, R., Harth, A., Hogan, A.: N-Quads: Extending N-Triples with Context (2009), http://sw.deri.org/2008/07/n-quads/
Deo, N., Micikevicius, P.: A new encoding for labeled trees employing a stack and a queue. Bulletin of the Institute of Combinatorics and its (2002)
Haase, P., Mathaß, T., Ziller, M.: An evaluation of approaches to federated query processing over linked data. In: Proceedings of the 6th International Conference on Semantic Systems, pp. 1–9. ACM (2010)
Harth, A., Hose, K., Karnstedt, M., Polleres, A., Sattler, K., Umbrich, J.: Data summaries for on-demand queries over linked data. In: Proceedings of the 19th International Conference on World Wide Web, pp. 411–420. ACM, New York (2010)
Hartig, O.: Zero-Knowledge Query Planning for an Iterator Implementation of Link Traversal Based Query Execution. In: Antoniou, G., Grobelnik, M., Simperl, E., Parsia, B., Plexousakis, D., De Leenheer, P., Pan, J. (eds.) ESWC 2011, Part I. LNCS, vol. 6643, pp. 154–169. Springer, Heidelberg (2011)
Hartig, O., Bizer, C., Freytag, J.: Executing SPARQL Queries over the Web of Linked Data. In: Bernstein, A., Karger, D.R., Heath, T., Feigenbaum, L., Maynard, D., Motta, E., Thirunarayan, K. (eds.) ISWC 2009. LNCS, vol. 5823, pp. 293–309. Springer, Heidelberg (2009)
Hartig, O., Huber, F.: A main memory index structure to query linked data. In: Proc. of the 4th Int. Linked Data on the Web (2011)
Isele, R., Umbrich, J., Bizer, C.: Ldspider: An open-source crawling framework for the web of linked data. In: Internaitional Semantic Web Conference 2010, pp. 6–9 (2010)
Ladwig, G., Tran, T.: Linked Data Query Processing Strategies. 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, pp. 453–469. Springer, Heidelberg (2010)
Lubiw, A.: Some NP-complete problems similar to graph isomorphism. SIAM Journal on Computing (1981)
Manku, G., Motwani, R.: Approximate frequency counts over data streams. In: Conference on Very Large Data Bases (2002)
Manola, F., Miller, E.: RDF Primer, http://www.w3.org/TR/rdf-syntax/
Neville, E.: The codifying of tree-structure. Proceedings of Cambridge Philosophical, 381–385 (November 1953)
Ng, W., Dash, M.: Discovery of Frequent Patterns in Transactional Data Streams. Transaction on Large-Scale Data-and Knowledge-Centered Systems, 1–30 (2010)
Prud’hommeaux, E., Seaborne, A.: SPARQL Query Language for RDF, http://www.w3.org/TR/rdf-sparql-query/
Prüfer, H.: Neuer beweis eines satzes über permutationen. Archiv für Mathematik und Physik (1918)
Umbrich, J., Hausenblas, M., Hogan, A., Polleres, A., Decker, S.: Towards dataset dynamics: Change frequency of linked open data sources. In: 3rd International Workshop on Linked Data on the Web (LDOW 2010), in Conjunction with 19th International World Wide Web Conference, CEUR (2010)
Yan, X., Han, J.: gSpan: Graph-based substructure pattern mining. Order a Journal on the Theory of Ordered Sets and its Applications (2002)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Tian, Y., Umbrich, J., Yu, Y. (2012). Enhancing Source Selection for Live Queries over Linked Data via Query Log Mining. In: Pan, J.Z., et al. The Semantic Web. JIST 2011. Lecture Notes in Computer Science, vol 7185. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29923-0_12
Download citation
DOI: https://doi.org/10.1007/978-3-642-29923-0_12
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-29922-3
Online ISBN: 978-3-642-29923-0
eBook Packages: Computer ScienceComputer Science (R0)