Towards the Temporal Streaming of Graph Data on Distributed Ledgers

Allan Third; Ilaria Tiddi; Emanuele Bastianelli; Chris Valentine; John Domingue

doi:10.1007/978-3-319-70407-4_41

Towards the Temporal Streaming of Graph Data on Distributed Ledgers

Allan Third^*, Ilaria Tiddi, Emanuele Bastianelli, Chris Valentine, John Domingue

^*Corresponding author for this work

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

Abstract

We present our work-in-progress on handling temporal RDF graph data using the Ethereum distributed ledger. The motivation for this work are scenarios where multiple distributed consumers of streamed data may need or wish to verify that data has not been tampered with since it was generated – for example, if the data describes something which can be or has been sold, such as domestically-generated electricity. We describe a system in which temporal annotations, and information suitable to validate a given dataset, are stored on a distributed ledger, alongside the results of fixed SPARQL queries executed at the time of data storage. The model adopted implements a graph-based form of temporal RDF, in which time intervals are represented by named graphs corresponding to ledger entries. We conclude by discussing evaluation, what remains to be implemented, and future directions.

Original language	English
Title of host publication	The Semantic Web
Subtitle of host publication	ESWC 2017 Satellite Events - Revised Selected Papers
Editors	Eva Blomqvist, Olaf Hartig, Heiko Paulheim, Katja Hose, Fabio Ciravegna, Agnieszka Lawrynowicz
Publisher	Springer Verlag
Pages	327-332
Number of pages	6
ISBN (Print)	9783319704067
DOIs	https://doi.org/10.1007/978-3-319-70407-4_41
Publication status	Published - 1 Jan 2017
Externally published	Yes
Event	14th International Conference on Semantic Web, ESWC 2017 - Portoroz, Slovenia Duration: 28 May 2017 → 1 Jun 2017

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	10577 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	14th International Conference on Semantic Web, ESWC 2017
Country/Territory	Slovenia
City	Portoroz
Period	28/05/17 → 1/06/17

Funding

Funders	Funder number
Horizon 2020 Framework Programme	688095

Access to Document

10.1007/978-3-319-70407-4_41

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Third, A., Tiddi, I., Bastianelli, E., Valentine, C., & Domingue, J. (2017). Towards the Temporal Streaming of Graph Data on Distributed Ledgers. In E. Blomqvist, O. Hartig, H. Paulheim, K. Hose, F. Ciravegna, & A. Lawrynowicz (Eds.), The Semantic Web: ESWC 2017 Satellite Events - Revised Selected Papers (pp. 327-332). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10577 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-70407-4_41

Third, Allan ; Tiddi, Ilaria ; Bastianelli, Emanuele et al. / Towards the Temporal Streaming of Graph Data on Distributed Ledgers. The Semantic Web: ESWC 2017 Satellite Events - Revised Selected Papers. editor / Eva Blomqvist ; Olaf Hartig ; Heiko Paulheim ; Katja Hose ; Fabio Ciravegna ; Agnieszka Lawrynowicz. Springer Verlag, 2017. pp. 327-332 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "We present our work-in-progress on handling temporal RDF graph data using the Ethereum distributed ledger. The motivation for this work are scenarios where multiple distributed consumers of streamed data may need or wish to verify that data has not been tampered with since it was generated – for example, if the data describes something which can be or has been sold, such as domestically-generated electricity. We describe a system in which temporal annotations, and information suitable to validate a given dataset, are stored on a distributed ledger, alongside the results of fixed SPARQL queries executed at the time of data storage. The model adopted implements a graph-based form of temporal RDF, in which time intervals are represented by named graphs corresponding to ledger entries. We conclude by discussing evaluation, what remains to be implemented, and future directions.",

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Third, A, Tiddi, I, Bastianelli, E, Valentine, C & Domingue, J 2017, Towards the Temporal Streaming of Graph Data on Distributed Ledgers. in E Blomqvist, O Hartig, H Paulheim, K Hose, F Ciravegna & A Lawrynowicz (eds), The Semantic Web: ESWC 2017 Satellite Events - Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10577 LNCS, Springer Verlag, pp. 327-332, 14th International Conference on Semantic Web, ESWC 2017, Portoroz, Slovenia, 28/05/17. https://doi.org/10.1007/978-3-319-70407-4_41

Towards the Temporal Streaming of Graph Data on Distributed Ledgers. / Third, Allan; Tiddi, Ilaria; Bastianelli, Emanuele et al.
The Semantic Web: ESWC 2017 Satellite Events - Revised Selected Papers. ed. / Eva Blomqvist; Olaf Hartig; Heiko Paulheim; Katja Hose; Fabio Ciravegna; Agnieszka Lawrynowicz. Springer Verlag, 2017. p. 327-332 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10577 LNCS).

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

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AU - Tiddi, Ilaria

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N2 - We present our work-in-progress on handling temporal RDF graph data using the Ethereum distributed ledger. The motivation for this work are scenarios where multiple distributed consumers of streamed data may need or wish to verify that data has not been tampered with since it was generated – for example, if the data describes something which can be or has been sold, such as domestically-generated electricity. We describe a system in which temporal annotations, and information suitable to validate a given dataset, are stored on a distributed ledger, alongside the results of fixed SPARQL queries executed at the time of data storage. The model adopted implements a graph-based form of temporal RDF, in which time intervals are represented by named graphs corresponding to ledger entries. We conclude by discussing evaluation, what remains to be implemented, and future directions.

AB - We present our work-in-progress on handling temporal RDF graph data using the Ethereum distributed ledger. The motivation for this work are scenarios where multiple distributed consumers of streamed data may need or wish to verify that data has not been tampered with since it was generated – for example, if the data describes something which can be or has been sold, such as domestically-generated electricity. We describe a system in which temporal annotations, and information suitable to validate a given dataset, are stored on a distributed ledger, alongside the results of fixed SPARQL queries executed at the time of data storage. The model adopted implements a graph-based form of temporal RDF, in which time intervals are represented by named graphs corresponding to ledger entries. We conclude by discussing evaluation, what remains to be implemented, and future directions.

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Third A, Tiddi I, Bastianelli E, Valentine C, Domingue J. Towards the Temporal Streaming of Graph Data on Distributed Ledgers. In Blomqvist E, Hartig O, Paulheim H, Hose K, Ciravegna F, Lawrynowicz A, editors, The Semantic Web: ESWC 2017 Satellite Events - Revised Selected Papers. Springer Verlag. 2017. p. 327-332. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-70407-4_41

Towards the Temporal Streaming of Graph Data on Distributed Ledgers

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