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Imprecise RDQL: towards generic retrieval in ontologies using similarity joins

Published: 23 April 2006 Publication History

Abstract

Traditional semantic web query languages support a logic-based access to the semantic web. They offer a retrieval (or reasoning) of data based on facts. On the traditional web and in databases, however, exact querying often provides an incomplete answer as queries are overspecified or the mix of multiple ontologies/modelling differences requires "interpretational flexibility." Therefore, similarity measures or ranking approaches are frequently used to extend the reach of a query. This paper extends this idea to the semantic web. It introduces iRDQL---a semantic web query language with support for similarity joins. It is an extension of traditional RDQL (RDF Data Query Language) that enables the users to query for similar resources ranking the results using a similarity measure. We show how iRDQL allows to extend the reach of a query by finding additional results. We quantitatively evaluated four similarity measures for their usefulness in iRDQL in the context of an OWL-S semantic web service retrieval test collection and compared the results to a specialized OWL-S matchmaker. Initial results of iRDQL indicate that it is indeed useful for extending the reach of queries and that it is able to improve recall without overly sacrificing precision. We also found that our generic iRDQL approach was only slightly outperformed by the specialized algorithm.

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    cover image ACM Conferences
    SAC '06: Proceedings of the 2006 ACM symposium on Applied computing
    April 2006
    1967 pages
    ISBN:1595931082
    DOI:10.1145/1141277
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    Publication History

    Published: 23 April 2006

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    Author Tags

    1. RDQL
    2. evaluation
    3. imprecise queries
    4. information retrieval
    5. matchmaking
    6. semantic web
    7. service matchmaking
    8. similarity
    9. similarity joins
    10. similarity measures

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    View all
    • (2022)A Spatio-Temporal Resource Description Framework Schema Model for Aeronautical Dynamic Information Based on Semantic AnalysisJournal of Information Technology Research10.4018/JITR.29938615:1(1-14)Online publication date: 1-Jan-2022
    • (2019)Semantic Web Service Discovery Based on LDA ClusteringWeb Information Systems and Applications10.1007/978-3-030-30952-7_25(239-250)Online publication date: 16-Sep-2019
    • (2014)UltiMatch-NL: A Web Service Matchmaker Based on Multiple Semantic FiltersPLoS ONE10.1371/journal.pone.01047359:8(e104735)Online publication date: 26-Aug-2014
    • (2014)Taxonomy-based relaxation of query answering in relational databasesThe VLDB Journal — The International Journal on Very Large Data Bases10.1007/s00778-013-0350-x23:5(747-769)Online publication date: 1-Oct-2014
    • (2012)Semantic Description and Discovery for Travel Web ServicesEmerging Research in Artificial Intelligence and Computational Intelligence10.1007/978-3-642-34240-0_41(311-318)Online publication date: 2012
    • (2012)Semantic Web Service matchmakers: state of the art and challengesConcurrency and Computation: Practice and Experience10.1002/cpe.288625:7(961-988)Online publication date: 27-Jun-2012
    • (2011)An agent based network resource planner for workflow applicationsMultiagent and Grid Systems10.3233/MGS-2011-01807:6(187-202)Online publication date: 1-Nov-2011
    • (2011)Matching Web Services Based on Semantic SimilarityAdvances in Computer Science, Environment, Ecoinformatics, and Education10.1007/978-3-642-23324-1_96(598-604)Online publication date: 2011
    • (2010)A comparative evaluation of semantic web service discovery approachesProceedings of the 12th International Conference on Information Integration and Web-based Applications & Services10.1145/1967486.1967496(33-39)Online publication date: 8-Nov-2010
    • (2009)WSMO-MX: A hybrid Semantic Web service matchmakerWeb Intelligence and Agent Systems10.5555/1516721.15167237:1(23-42)Online publication date: 1-Jan-2009
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