research-article

Is my:sameAs the same as your:sameAs?: Lenticular Lenses for Context-Specific Identity

Authors:

Al Koudous Idrissou,

Rinke Hoekstra,

Frank van Harmelen,

Peter van den BesselaarAuthors Info & Claims

K-CAP '17: Proceedings of the 9th Knowledge Capture Conference

Article No.: 23, Pages 1 - 8

https://doi.org/10.1145/3148011.3148029

Published: 04 December 2017 Publication History

Abstract

Linking between entities in different datasets is a crucial element of the Semantic Web architecture, since those links allow us to integrate datasets without having to agree on a uniform vocabulary. However, it is widely acknowledged that the owl:sameAs construct is too blunt a tool for this purpose. It entails full equality between two resources independent of context. But whether or not two resources should be considered equal depends not only on their intrinsic properties, but also on the purpose or task for which the resources are used. We present a system for constructing context-specific equality links. In a first step, our system generates a set of probable links between two given datasets. These potential links are decorated with rich metadata describing how, why, when and by whom they were generated. In a second step, a user then selects the links which are suited for the current task and context, constructing a context-specific "Lenticular Lens". Such lenses can be combined using operators such as union, intersection, difference and composition. We illustrate and validate our approach with a realistic application that supports researchers in social science.

References

[1]

M. Al-Bakri, M. Atencia, J. David, S. Lalande, and M.-C. Rousset. Uncertainty-sensitive reasoning for inferring sameas facts in linked data. In 22nd european conference on artificial intelligence (ECAI), pages 698--706. IOS press, 2016.

[2]

K. Alexander, R. Cyganiak, M. Hausenblas, and J. Zhao. Describing Linked Datasets with the VoID Vocabulary. Technical report, 2011. W3C Note. URL: https://www.w3.org/TR/void/.

[3]

C. Batchelor et al. Scientific lenses to support multiple views over linked chemistry data. In ISWC 2014, pages 98--113. Springer, 2014.

Digital Library

[4]

W. Beek, S. Schlobach, and F. van Harmelen. A contextualised semantics for owl: sameas. In International Semantic Web Conference, pages 405--419. Springer, 2016.

Digital Library

[5]

C. Brenninkmeijer, C. Evelo, C. Goble, A. J. Gray, P. Groth, S. Pettifer, R. Stevens, A. J. Williams, and E. L. Willighagen. Scientific lenses over linked data: An approach to support task specific views of the data. a vision. In Proceedings of 2nd international workshop on linked science, 2012.

[6]

E. Daskalaki and D. Plexousakis. Oto matching system: a multi-strategy approach to instance matching. In CAiSE, pages 286--300. Springer, 2012.

Digital Library

[7]

J. Euzenat and P. Shvaiko. Ontology matching. Springer-Verlag, Heidelberg (DE), 2nd edition, 2013.

Digital Library

[8]

E. J. Hackett, O. Amsterdamska, M. Lynch, and J. Wajcman. The handbook of science and technology studies. The MIT Press, 2008.

[9]

H. Halpin, P. J. Hayes, J. P. McCusker, D. L. McGuinness, and H. S. Thompson. When owl: sameas isn't the same: An analysis of identity in linked data. In The Semantic Web--ISWC 2010, pages 305--320. Springer, 2010.

Digital Library

[10]

O. Hartig and B. Thompson. Foundations of an alternative approach to reification in rdf. arXiv preprint arXiv:1406.3399, 2014.

[11]

O. Hassanzadeh, A. Kementsietsidis, L. Lim, R. J. Miller, and M. Wang. A framework for semantic link discovery over relational data. In 18th ACM conference on Information and knowledge management, pages 1027--1036. ACM, 2009.

Digital Library

[12]

O. Hassanzadeh, R. Xin, R. J. Miller, A. Kementsietsidis, L. Lim, and M. Wang. Linkage query writer. Proceedings of the VLDB Endowment, 2(2):1590--1593, 2009.

Digital Library

[13]

D. Hernández, A. Hogan, C. Riveros, C. Rojas, and E. Zerega. Querying wikidata: Comparing sparql, relational and graph databases. In ISWC, pages 88--103. Springer, 2016.

Digital Library

[14]

E. Jiménez-Ruiz and B. C. Grau. Logmap: Logic-based and scalable ontology matching. In The Semantic Web--ISWC 2011, pages 273--288. Springer, 2011.

Digital Library

[15]

V. Nguyen, O. Bodenreider, and A. Sheth. Don't like RDF reification?: making statements about statements using singleton property. In Proceedings of the 23rd international conference on World wide web, pages 759--770. ACM, 2014.

Digital Library

[16]

R. Usbeck, A.-C. N. Ngomo, M. Röder, D. Gerber, S. A. Coelho, S. Auer, and A. Both. AGDISTIS-graph-based disambiguation of named entities using linked data. In The Semantic Web--ISWC 2014, pages 457--471. Springer, 2014.

Digital Library

[17]

J. Van Ossenbruggen, M. Hildebrand, and V. De Boer. Interactive vocabulary alignment. In International Conference on Theory and Practice of Digital Libraries, pages 296--307. Springer, 2011.

Digital Library

[18]

J. Volz, C. Bizer, M. Gaedke, and G. Kobilarov. Discovering and maintaining links on the web of data. In ISWC, pages 650--665. Springer, 2009.

Digital Library

[19]

D. S. Wishart, C. Knox, A. Guo, D. Cheng, S. Shrivastava, D. Tzur, B. Gautam, and M. Hassanali. Drugbank: a knowledgebase for drugs, drug actions and drug targets. Nucleic Acids Research, 36(Database-Issue):901--906, 2008.

Cited By

de Mooij JKurtan CBaas JDastani M(2022)A Computational Framework for Organizing and Querying Cultural Heritage ArchivesJournal on Computing and Cultural Heritage 10.1145/348584315:3(1-25)Online publication date: 16-Sep-2022
https://dl.acm.org/doi/10.1145/3485843
Beck SAbualdenien JHijazi IBorrmann AKolbe T(2021)Analyzing Contextual Linking of Heterogeneous Information Models from the Domains BIM and UIMISPRS International Journal of Geo-Information10.3390/ijgi1012080710:12(807)Online publication date: 30-Nov-2021
https://doi.org/10.3390/ijgi10120807
Paris PHamdi FNiraula NSi-said Cherfi S(2020)Contextual Propagation of Properties for Knowledge GraphsThe Semantic Web – ISWC 202010.1007/978-3-030-62419-4_28(494-510)Online publication date: 2-Nov-2020
https://dl.acm.org/doi/10.1007/978-3-030-62419-4_28
Show More Cited By

Index Terms

Is my:sameAs the same as your:sameAs?: Lenticular Lenses for Context-Specific Identity
1. Computing methodologies
  1. Artificial intelligence
    1. Knowledge representation and reasoning

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cover image ACM Conferences

K-CAP '17: Proceedings of the 9th Knowledge Capture Conference

December 2017

271 pages

ISBN:9781450355537

DOI:10.1145/3148011

Copyright © 2017 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]

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New York, NY, United States

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Published: 04 December 2017

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K-CAP 2017: Knowledge Capture Conference

December 4 - 6, 2017

TX, Austin, USA

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Cited By

de Mooij JKurtan CBaas JDastani M(2022)A Computational Framework for Organizing and Querying Cultural Heritage ArchivesJournal on Computing and Cultural Heritage 10.1145/348584315:3(1-25)Online publication date: 16-Sep-2022
https://dl.acm.org/doi/10.1145/3485843
Beck SAbualdenien JHijazi IBorrmann AKolbe T(2021)Analyzing Contextual Linking of Heterogeneous Information Models from the Domains BIM and UIMISPRS International Journal of Geo-Information10.3390/ijgi1012080710:12(807)Online publication date: 30-Nov-2021
https://doi.org/10.3390/ijgi10120807
Paris PHamdi FNiraula NSi-said Cherfi S(2020)Contextual Propagation of Properties for Knowledge GraphsThe Semantic Web – ISWC 202010.1007/978-3-030-62419-4_28(494-510)Online publication date: 2-Nov-2020
https://dl.acm.org/doi/10.1007/978-3-030-62419-4_28
Paris P(2018)Assessing the Quality of owl:sameAs LinksThe Semantic Web: ESWC 2018 Satellite Events10.1007/978-3-319-98192-5_49(304-313)Online publication date: 3-Jun-2018
https://dl.acm.org/doi/10.1007/978-3-319-98192-5_49

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