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Observing LOD Using Equivalent Set Graphs: It Is Mostly Flat and Sparsely Linked
- Source :
- 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, Lecture Notes in Computer Science ISBN: 9783030307929, ISWC (1), The Semantic Web – ISWC 2019: 18th International Semantic Web Conference, Auckland, New Zealand, October 26–30, 2019, Proceedings, 57-74, STARTPAGE=57;ENDPAGE=74;TITLE=The Semantic Web – ISWC 2019
- Publication Year :
- 2019
- Publisher :
- Springer, 2019.
-
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.
- Subjects :
- Structure (mathematical logic)
Theoretical computer science
Computer science
Empirical semantic
010401 analytical chemistry
020207 software engineering
Observable
02 engineering and technology
Linked data
01 natural sciences
0104 chemical sciences
Set (abstract data type)
Open source
Empirical research
Conceptual framework
0202 electrical engineering, electronic engineering, information engineering
Empirical semantics
Semantic Web
Linked Open Data
Subjects
Details
- Language :
- English
- ISBN :
- 978-3-030-30792-9
- ISBNs :
- 9783030307929
- Database :
- OpenAIRE
- Journal :
- 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, Lecture Notes in Computer Science ISBN: 9783030307929, ISWC (1), The Semantic Web – ISWC 2019: 18th International Semantic Web Conference, Auckland, New Zealand, October 26–30, 2019, Proceedings, 57-74, STARTPAGE=57;ENDPAGE=74;TITLE=The Semantic Web – ISWC 2019
- Accession number :
- edsair.doi.dedup.....0970593847f92ce09d1ee0032a4294ff