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A statistical and schema independent approach to identify equivalent properties on linked data

Published: 04 September 2013 Publication History

Abstract

Linked Open Data (LOD) cloud has gained significant attention in the Semantic Web community recently. Currently it consists of approximately 295 interlinked datasets with over 50 billion triples including 500 million links, and continues to expand in size. This vast source of structured information has the potential to have a significant impact on knowledge-based applications. However, a key impediment to the use of LOD cloud is limited support for data integration tasks over concepts, instances, and properties. Efforts to address this limitation over properties have focused on matching data-type properties across datasets; however, matching of object-type properties has not received similar attention. We present an approach that can automatically match object-type properties across linked datasets, primarily exploiting and bootstrapping from entity co-reference links such as owl:sameAs. Our evaluation, using sample instance sets taken from Freebase, DBpedia, LinkedMDB, and DBLP datasets covering multiple domains shows that our approach matches properties with high precision and recall (on average, F measure gain of 57% - 78%).

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  • (2023)Entity Attribute Alignment Method Based On Attribute Value DistributionProceedings of the 2023 12th International Conference on Computing and Pattern Recognition10.1145/3633637.3633639(9-17)Online publication date: 27-Oct-2023
  • (2022)Geographic Knowledge Graph Attribute Normalization: Improving the Accuracy by Fusing Optimal Granularity Clustering and Co-Occurrence AnalysisISPRS International Journal of Geo-Information10.3390/ijgi1107036011:7(360)Online publication date: 23-Jun-2022
  • (2019)Enhancing the Conciseness of Linked Data by Discovering Synonym PredicatesKnowledge Science, Engineering and Management10.1007/978-3-030-29551-6_65(739-750)Online publication date: 21-Aug-2019
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    cover image ACM Other conferences
    I-SEMANTICS '13: Proceedings of the 9th International Conference on Semantic Systems
    September 2013
    158 pages
    ISBN:9781450319720
    DOI:10.1145/2506182
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

    Sponsors

    • St. Pölten University: St. Pölten University of Applied Sciences, Austria
    • HPI: Hasso-Plattner-Institut
    • Compass Verlag: Compass Verlag
    • Wolters Kluwer: Wolters Kluwer, Germany
    • Semantic Web Company: Semantic Web Company
    • TUG: Technical University of Graz

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 04 September 2013

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    Author Tags

    1. linked open data
    2. property alignment
    3. relationship identification
    4. statistical equivalence

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    ISEM '13
    Sponsor:
    • St. Pölten University
    • HPI
    • Compass Verlag
    • Wolters Kluwer
    • Semantic Web Company
    • TUG

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    Overall Acceptance Rate 40 of 182 submissions, 22%

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    Cited By

    View all
    • (2023)Entity Attribute Alignment Method Based On Attribute Value DistributionProceedings of the 2023 12th International Conference on Computing and Pattern Recognition10.1145/3633637.3633639(9-17)Online publication date: 27-Oct-2023
    • (2022)Geographic Knowledge Graph Attribute Normalization: Improving the Accuracy by Fusing Optimal Granularity Clustering and Co-Occurrence AnalysisISPRS International Journal of Geo-Information10.3390/ijgi1107036011:7(360)Online publication date: 23-Jun-2022
    • (2019)Enhancing the Conciseness of Linked Data by Discovering Synonym PredicatesKnowledge Science, Engineering and Management10.1007/978-3-030-29551-6_65(739-750)Online publication date: 21-Aug-2019
    • (2018)The properties of property alignment on the semantic webInternational Journal of Metadata, Semantics and Ontologies10.5555/3302773.330277813:1(42-56)Online publication date: 1-Jan-2018
    • (2017)Relatedness-based multi-entity summarizationProceedings of the 26th International Joint Conference on Artificial Intelligence10.5555/3171642.3171793(1060-1066)Online publication date: 19-Aug-2017
    • (2017)Linked Open Data: Uncertainty in Equivalence of PropertiesAdvances in Fuzzy Logic and Technology 201710.1007/978-3-319-66827-7_38(418-429)Online publication date: 31-Aug-2017
    • (2017)Semantic Data IntegrationHandbook of Big Data Technologies10.1007/978-3-319-49340-4_8(263-305)Online publication date: 26-Feb-2017
    • (2016)Structuring Linked Data Search Results Using Probabilistic Soft LogicThe Semantic Web – ISWC 201610.1007/978-3-319-46523-4_1(3-19)Online publication date: 23-Sep-2016
    • (2016)Fast Approximate A-Box Consistency Checking Using Machine LearningProceedings of the 13th International Conference on The Semantic Web. Latest Advances and New Domains - Volume 967810.1007/978-3-319-34129-3_9(135-150)Online publication date: 29-May-2016
    • (2016)Implicit Entity Linking in TweetsProceedings of the 13th International Conference on The Semantic Web. Latest Advances and New Domains - Volume 967810.1007/978-3-319-34129-3_8(118-132)Online publication date: 29-May-2016
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