research-article

Instance matching benchmarks in the era of Linked Data

Web Semantics: Science, Services and Agents on the World Wide Web, Volume 39, Issue C

Pages 1 - 14

https://doi.org/10.1016/j.websem.2016.06.002

Published: 01 August 2016 Publication History

Abstract

The goal of this survey is to present the state of the art instance matching benchmarks for Linked Data. We introduce the principles of benchmark design for instance matching systems, discuss the dimensions and characteristics of an instance matching benchmark, provide a comprehensive overview of existing benchmarks, as well as benchmark generators, discuss their advantages and disadvantages, as well as the research directions that should be exploited for the creation of novel benchmarks, to answer the needs of the Linked Data paradigm.

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Barbosa ABittencourt ISiqueira SDermeval DCruz N(2022)A Context-Independent Ontological Linked Data Alignment Approach to Instance MatchingInternational Journal on Semantic Web & Information Systems10.4018/IJSWIS.29597718:1(1-29)Online publication date: 22-Feb-2022
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cover image Web Semantics: Science, Services and Agents on the World Wide Web

Web Semantics: Science, Services and Agents on the World Wide Web Volume 39, Issue C

August 2016

97 pages

ISSN:1570-8268

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Copyright © Elsevier B.V.

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Elsevier Science Publishers B. V.

Netherlands

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Published: 01 August 2016

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Barbosa ABittencourt ISiqueira SDermeval DCruz N(2022)A Context-Independent Ontological Linked Data Alignment Approach to Instance MatchingInternational Journal on Semantic Web & Information Systems10.4018/IJSWIS.29597718:1(1-29)Online publication date: 22-Feb-2022
https://dl.acm.org/doi/10.4018/IJSWIS.295977
Hnatkowska BKozierkiewicz APietranik M(2022)Fuzzy Logic Framework for Ontology Instance AlignmentComputational Science – ICCS 202210.1007/978-3-031-08754-7_68(653-666)Online publication date: 21-Jun-2022
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https://dl.acm.org/doi/10.1145/3340531.3412781
Kozierkiewicz APietranik MNguyen L(2020)Updating Ontology Alignment on the Instance Level Based on Ontology EvolutionDatabase and Expert Systems Applications10.1007/978-3-030-59051-2_20(301-311)Online publication date: 14-Sep-2020
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