Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
skip to main content
10.1007/978-3-642-04930-9_19guideproceedingsArticle/Chapter ViewAbstractPublication PagesConference Proceedingsacm-pubtype
Article

Executing SPARQL Queries over the Web of Linked Data

Published: 06 November 2009 Publication History
  • Get Citation Alerts
  • Abstract

    The Web of Linked Data forms a single, globally distributed dataspace. Due to the openness of this dataspace, it is not possible to know in advance all data sources that might be relevant for query answering. This openness poses a new challenge that is not addressed by traditional research on federated query processing. In this paper we present an approach to execute SPARQL queries over the Web of Linked Data. The main idea of our approach is to discover data that might be relevant for answering a query during the query execution itself. This discovery is driven by following RDF links between data sources based on URIs in the query and in partial results. The URIs are resolved over the HTTP protocol into RDF data which is continuously added to the queried dataset. This paper describes concepts and algorithms to implement our approach using an iterator-based pipeline. We introduce a formalization of the pipelining approach and show that classical iterators may cause blocking due to the latency of HTTP requests. To avoid blocking, we propose an extension of the iterator paradigm. The evaluation of our approach shows its strengths as well as the still existing challenges.

    References

    [1]
    Berners-Lee, T.: Design Issues: Linked Data. (retrieved May 25, 2009), http://www.w3.org/DesignIssues/LinkedData.html
    [2]
    Bizer, C., Heath, T., Berners-Lee, T.: Linked data - the story so far. Journal on Semantic Web and Information Systems (in press, 2009)
    [3]
    Franklin, M.J., Halevy, A.Y., Maier, D.: From databases to dataspaces: A new abstraction for information management. SIGMOD Record 34(4), 27-33 (2005)
    [4]
    Prud'hommeaux, E., Seaborne, A.: SPARQL query language for RDF. W3C Recommendation (January 2008), http://www.w3.org/TR/rdf-sparql-query/ (retrieved June 11, 2009)
    [5]
    Sheth, A.P., Larson, J.A.: Federated database systems for managing distributed, heterogeneous, and autonomous databases. ACM Computing Surveys 22(3), 183-236 (1990)
    [6]
    Garcia-Molina, H., Widom, J., Ullman, J.D.: Database Systems: The Complete Book. Prentice-Hall, Inc., Upper Saddle River (2002)
    [7]
    Graefe, G.: Query evaluation techniques for large databases. ACM Computing Surveys 25(2), 73-169 (1993)
    [8]
    Pirahesh, H., Mohan, C., Cheng, J., Liu, T.S., Selinger, P.: Parallelism in relational data base systems: Architectural issues and design approaches. In: Proceedings of the 2nd International Symposium on Databases in Parallel and Distributed Systems (DPDS), pp. 4-29. ACM, New York (1990)
    [9]
    Hartig, O., Mühleisen, H., Freytag, J.-C.: Linked data for building a map of researchers. In: Proceedings of 5th Workshop on Scripting and Development for the Semantic Web (SFSW) at ESWC (June 2009)
    [10]
    Bizer, C., Schultz, A.: Benchmarking the performance of storage systems that expose SPARQL endpoints. In: Proceedings of the Workshop on Scalable Semantic Web Knowledge Base Systems at ISWC (October 2008)
    [11]
    Quilitz, B., Leser, U.: Querying distributed RDF data sources with SPARQL. In: Bechhofer, S., Hauswirth, M., Hoffmann, J., Koubarakis, M. (eds.) ESWC 2008. LNCS, vol. 5021, pp. 524-538. Springer, Heidelberg (2008)
    [12]
    Langegger, A., Wöß, W., Blöchl, M.: A semantic web middleware for virtual data integration on the web. In: Bechhofer, S., Hauswirth, M., Hoffmann, J., Koubarakis, M. (eds.) ESWC 2008. LNCS, vol. 5021, pp. 493-507. Springer, Heidelberg (2008)
    [13]
    Oren, E., Delbru, R., Catasta, M., Cyganiak, R., Stenzhorn, H., Tummarello, G.: Sindice.com: A document-oriented lookup index for open linked data. International Journal of Metadata, Semantics and Ontologies 3(1) (2008)
    [14]
    Ding, L., Finin, T.W., Joshi, A., Pan, R., Cost, R.S., Peng, Y., Reddivari, P., Doshi, V., Sachs, J.: Swoogle: A search and metadata engine for the semantic web. In: Proceedings of the 13th ACM Conference on Information and Knowledge Management (CIKM), November 2004, pp. 652-659. ACM, New York (2004)
    [15]
    d'Aquin, M., Motta, E., Sabou, M., Angeletou, S., Gridinoc, L., Lopez, V., Guidi, D.: Toward a new generation of semantic web applications. IEEE Intelligent Systems 23(3), 20-28 (2008)
    [16]
    Berners-Lee, T., Chen, Y., Chilton, L., Connolly, D., Dhanaraj, R., Hollenbach, J., Lerer, A., Sheets, D.: Tabulator: Exploring and analyzing linked data on the semantic web. In: Proceedings of the 3rd Semantic Web User Interaction Workshop (SWUI) at ISWC (November 2006)

    Cited By

    View all
    • (2023)An Extensible Approach to Searching and Selecting Data Sources for Materialized Big Data Integration in Distributed Computing EnvironmentsPattern Recognition and Image Analysis10.1134/S105466182302014133:2(147-156)Online publication date: 1-Jun-2023
    • (2021)An empirical evaluation of cost-based federated SPARQL query processing enginesSemantic Web10.3233/SW-20042012:6(843-868)Online publication date: 1-Jan-2021
    • (2021)Link Traversal with Distributed Subweb SpecificationsRules and Reasoning10.1007/978-3-030-91167-6_5(62-79)Online publication date: 8-Sep-2021
    • Show More Cited By

    Recommendations

    Comments

    Information & Contributors

    Information

    Published In

    cover image Guide Proceedings
    ISWC '09: Proceedings of the 8th International Semantic Web Conference
    November 2009
    1004 pages
    ISBN:9783642049293
    • Editors:
    • Abraham Bernstein,
    • David R. Karger,
    • Tom Heath,
    • Lee Feigenbaum,
    • Diana Maynard,
    • Enrico Motta,
    • Krishnaprasad Thirunarayan

    Publisher

    Springer-Verlag

    Berlin, Heidelberg

    Publication History

    Published: 06 November 2009

    Qualifiers

    • Article

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • Downloads (Last 12 months)0
    • Downloads (Last 6 weeks)0

    Other Metrics

    Citations

    Cited By

    View all
    • (2023)An Extensible Approach to Searching and Selecting Data Sources for Materialized Big Data Integration in Distributed Computing EnvironmentsPattern Recognition and Image Analysis10.1134/S105466182302014133:2(147-156)Online publication date: 1-Jun-2023
    • (2021)An empirical evaluation of cost-based federated SPARQL query processing enginesSemantic Web10.3233/SW-20042012:6(843-868)Online publication date: 1-Jan-2021
    • (2021)Link Traversal with Distributed Subweb SpecificationsRules and Reasoning10.1007/978-3-030-91167-6_5(62-79)Online publication date: 8-Sep-2021
    • (2020)The Semantic Web identity crisisSemantic Web10.3233/SW-19037211:1(19-27)Online publication date: 1-Jan-2020
    • (2020)FedQPLProceedings of the 22nd International Conference on Information Integration and Web-based Applications & Services10.1145/3428757.3429120(436-445)Online publication date: 30-Nov-2020
    • (2020)A Web Tool to Map Research Impacts Via AltmetricsCompanion Proceedings of the Web Conference 202010.1145/3366424.3383549(235-239)Online publication date: 20-Apr-2020
    • (2020)SMART-KG: Hybrid Shipping for SPARQL Querying on the WebProceedings of The Web Conference 202010.1145/3366423.3380177(984-994)Online publication date: 20-Apr-2020
    • (2019)Answering SPARQL queries on the web of data through zero-knowledge link traversalACM SIGAPP Applied Computing Review10.1145/3372001.337200319:3(18-32)Online publication date: 8-Nov-2019
    • (2019)More Complete Resultset Retrieval from Large Heterogeneous RDF SourcesProceedings of the 10th International Conference on Knowledge Capture10.1145/3360901.3364436(223-230)Online publication date: 23-Sep-2019
    • (2019)SaGe: Web Preemption for Public SPARQL Query ServicesThe World Wide Web Conference10.1145/3308558.3313652(1268-1278)Online publication date: 13-May-2019
    • Show More Cited By

    View Options

    View options

    Get Access

    Login options

    Media

    Figures

    Other

    Tables

    Share

    Share

    Share this Publication link

    Share on social media