research-article

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

Authors:

Kalpa Gunaratna,

Krishnaprasad Thirunarayan,

Amit Sheth, and

Sanjaya WijeratneAuthors Info & Claims

I-SEMANTICS '13: Proceedings of the 9th International Conference on Semantic Systems

September 2013

Pages 33 - 40

https://doi.org/10.1145/2506182.2506187

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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Cited By

Yin MWang CDuan SYang HZhang J(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
https://dl.acm.org/doi/10.1145/3633637.3633639
Yin CZhang BLiu WDu MLuo NZhai XBa T(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
https://doi.org/10.3390/ijgi11070360
Issa SHamdi FCherfi S(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
https://doi.org/10.1007/978-3-030-29551-6_65
Show More Cited By

Index Terms

A statistical and schema independent approach to identify equivalent properties on linked data
1. Computing methodologies
  1. Machine learning

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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

Editors:
Marta Sabou
MODUL University Vienna, Austria
,
Eva Blomqvist
Linköpings Universitet, Sweden
,
Tommaso Di Noia
Technical University of Bari, Italy
,
Harald Sack
Hasso-Plattner-Institute for IT Systems Engineering, Germany
,
Tassilo Pellegrini
St. Pölten University of Applied Sciences, Austria

Copyright © 2013 ACM.

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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National Science Foundation

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ISEM '13

Sponsor:

St. Pölten University
HPI
Compass Verlag
Wolters Kluwer
Semantic Web Company
TUG

ISEM '13: I-SEMANTICS 2013 - 9th International Conference on Semantic Systems

September 4 - 6, 2013

Graz, Austria

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Cited By

Yin MWang CDuan SYang HZhang J(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
https://dl.acm.org/doi/10.1145/3633637.3633639
Yin CZhang BLiu WDu MLuo NZhai XBa T(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
https://doi.org/10.3390/ijgi11070360
Issa SHamdi FCherfi S(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
https://doi.org/10.1007/978-3-030-29551-6_65
(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
https://dl.acm.org/doi/10.5555/3302773.3302778
Gunaratna KYazdavar AThirunarayan KSheth ACheng G(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
https://dl.acm.org/doi/10.5555/3171642.3171793
To NReformat MYager R(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
https://doi.org/10.1007/978-3-319-66827-7_38
Cheatham MPesquita C(2017)Semantic Data IntegrationHandbook of Big Data Technologies10.1007/978-3-319-49340-4_8(263-305)Online publication date: 26-Feb-2017
https://doi.org/10.1007/978-3-319-49340-4_8
Alshukaili DFernandes APaton N(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
https://doi.org/10.1007/978-3-319-46523-4_1
Paulheim HStuckenschmidt H(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
https://dl.acm.org/doi/10.1007/978-3-319-34129-3_9
Perera SMendes PAlex ASheth AThirunarayan K(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
https://dl.acm.org/doi/10.1007/978-3-319-34129-3_8
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