Observing LOD Using Equivalent Set Graphs: It Is Mostly Flat and Sparsely Linked

Luigi Asprino; Wouter Beek; Paolo Ciancarini; Frank van Harmelen; Valentina Presutti

doi:10.1007/978-3-030-30793-6_4

Observing LOD Using Equivalent Set Graphs: It Is Mostly Flat and Sparsely Linked

Luigi Asprino^*, Wouter Beek, Paolo Ciancarini, Frank van Harmelen, Valentina Presutti

^*Corresponding author for this work

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

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Abstract

This paper presents an empirical study aiming at understanding the modeling style and the overall semantic structure of Linked Open Data. We observe how classes, properties and individuals are used in practice. We also investigate how hierarchies of concepts are structured, and how much they are linked. In addition to discussing the results, this paper contributes (i) a conceptual framework, including a set of metrics, which generalises over the observable constructs; (ii) an open source implementation that facilitates its application to other Linked Data knowledge graphs.

Original language	English
Title of host publication	The Semantic Web – ISWC 2019
Subtitle of host publication	18th International Semantic Web Conference, Auckland, New Zealand, October 26–30, 2019, Proceedings, Part 1
Editors	Chiara Ghidini, Olaf Hartig, Maria Maleshkova, Vojtech Svátek, Isabel Cruz, Aidan Hogan, Jie Song, Maxime Lefrançois, Fabien Gandon
Publisher	Springer
Pages	57-74
Number of pages	18
Volume	1
ISBN (Electronic)	9783030307936
ISBN (Print)	9783030307929
DOIs	https://doi.org/10.1007/978-3-030-30793-6_4
Publication status	Published - 2019
Event	18th International Semantic Web Conference, ISWC 2019 - Auckland, New Zealand Duration: 26 Oct 2019 → 30 Oct 2019

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	11778 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	18th International Semantic Web Conference, ISWC 2019
Country/Territory	New Zealand
City	Auckland
Period	26/10/19 → 30/10/19

Keywords

Empirical semantics
Linked Open Data
Semantic Web

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10.1007/978-3-030-30793-6_4

Observing LOD Using Equivalent Set Graphs It Is Mostly Flat and Sparsely LinkedFinal published version, 852 KBLicence: Article 25fa Dutch Copyright Act

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Asprino, L., Beek, W., Ciancarini, P., van Harmelen, F., & Presutti, V. (2019). Observing LOD Using Equivalent Set Graphs: It Is Mostly Flat and Sparsely Linked. In C. Ghidini, O. Hartig, M. Maleshkova, V. Svátek, I. Cruz, A. Hogan, J. Song, M. Lefrançois, & F. Gandon (Eds.), The Semantic Web – ISWC 2019: 18th International Semantic Web Conference, Auckland, New Zealand, October 26–30, 2019, Proceedings, Part 1 (Vol. 1, pp. 57-74). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11778 LNCS). Springer. https://doi.org/10.1007/978-3-030-30793-6_4

Asprino, Luigi ; Beek, Wouter ; Ciancarini, Paolo et al. / Observing LOD Using Equivalent Set Graphs: It Is Mostly Flat and Sparsely Linked. The Semantic Web – ISWC 2019: 18th International Semantic Web Conference, Auckland, New Zealand, October 26–30, 2019, Proceedings, Part 1. editor / Chiara Ghidini ; Olaf Hartig ; Maria Maleshkova ; Vojtech Svátek ; Isabel Cruz ; Aidan Hogan ; Jie Song ; Maxime Lefrançois ; Fabien Gandon. Vol. 1 Springer, 2019. pp. 57-74 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Observing LOD Using Equivalent Set Graphs: It Is Mostly Flat and Sparsely Linked",

abstract = "This paper presents an empirical study aiming at understanding the modeling style and the overall semantic structure of Linked Open Data. We observe how classes, properties and individuals are used in practice. We also investigate how hierarchies of concepts are structured, and how much they are linked. In addition to discussing the results, this paper contributes (i) a conceptual framework, including a set of metrics, which generalises over the observable constructs; (ii) an open source implementation that facilitates its application to other Linked Data knowledge graphs.",

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Asprino, L, Beek, W, Ciancarini, P, van Harmelen, F & Presutti, V 2019, Observing LOD Using Equivalent Set Graphs: It Is Mostly Flat and Sparsely Linked. in C Ghidini, O Hartig, M Maleshkova, V Svátek, I Cruz, A Hogan, J Song, M Lefrançois & F Gandon (eds), The Semantic Web – ISWC 2019: 18th International Semantic Web Conference, Auckland, New Zealand, October 26–30, 2019, Proceedings, Part 1. vol. 1, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11778 LNCS, Springer, pp. 57-74, 18th International Semantic Web Conference, ISWC 2019, Auckland, New Zealand, 26/10/19. https://doi.org/10.1007/978-3-030-30793-6_4

Observing LOD Using Equivalent Set Graphs: It Is Mostly Flat and Sparsely Linked. / Asprino, Luigi; Beek, Wouter; Ciancarini, Paolo et al.
The Semantic Web – ISWC 2019: 18th International Semantic Web Conference, Auckland, New Zealand, October 26–30, 2019, Proceedings, Part 1. ed. / Chiara Ghidini; Olaf Hartig; Maria Maleshkova; Vojtech Svátek; Isabel Cruz; Aidan Hogan; Jie Song; Maxime Lefrançois; Fabien Gandon. Vol. 1 Springer, 2019. p. 57-74 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11778 LNCS).

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

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AU - Beek, Wouter

AU - Ciancarini, Paolo

AU - van Harmelen, Frank

AU - Presutti, Valentina

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N2 - This paper presents an empirical study aiming at understanding the modeling style and the overall semantic structure of Linked Open Data. We observe how classes, properties and individuals are used in practice. We also investigate how hierarchies of concepts are structured, and how much they are linked. In addition to discussing the results, this paper contributes (i) a conceptual framework, including a set of metrics, which generalises over the observable constructs; (ii) an open source implementation that facilitates its application to other Linked Data knowledge graphs.

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A2 - Cruz, Isabel

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A2 - Song, Jie

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Asprino L, Beek W, Ciancarini P, van Harmelen F, Presutti V. Observing LOD Using Equivalent Set Graphs: It Is Mostly Flat and Sparsely Linked. In Ghidini C, Hartig O, Maleshkova M, Svátek V, Cruz I, Hogan A, Song J, Lefrançois M, Gandon F, editors, The Semantic Web – ISWC 2019: 18th International Semantic Web Conference, Auckland, New Zealand, October 26–30, 2019, Proceedings, Part 1. Vol. 1. Springer. 2019. p. 57-74. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). Epub 2019 Oct 17. doi: 10.1007/978-3-030-30793-6_4

Observing LOD Using Equivalent Set Graphs: It Is Mostly Flat and Sparsely Linked

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