Dynamic Provenance for SPARQL Update

James Cheney; Harry Halpin

doi:10.1007/978-3-319-11964-9_27

Dynamic Provenance for SPARQL Update

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

While the Semantic Web currently can exhibit provenance information by using the W3C PROV standards, there is a "missing link" in connecting PROV to storing and querying for dynamic changes to RDF graphs using SPARQL. Solving this problem would be required for such clear use-cases as the creation of version control systems for RDF. While some provenance models and annotation techniques for storing and querying provenance data originally developed with databases or workflows in mind transfer readily to RDF and SPARQL, these techniques do not readily adapt to describing changes in dynamic RDF datasets over time. In this paper we explore how to adapt the dynamic copy-paste provenance model of Buneman et al. [2] to RDF datasets that change over time in response to SPARQL updates, how to represent the resulting provenance records themselves as RDF in a manner compatible with W3C PROV, and how the provenance information can be defined by reinterpreting SPARQL updates. The primary contribution of this paper is a semantic framework that enables the semantics of SPARQL Update to be used as the basis for a 'cut-and-paste' provenance model in a principled manner.

Original language	English
Title of host publication	The Semantic Web – ISWC 2014
Subtitle of host publication	13th International Semantic Web Conference, Riva del Garda, Italy, October 19-23, 2014. Proceedings, Part I
Publisher	Springer International Publishing
Number of pages	16
ISBN (Electronic)	978-3-319-11964-9
ISBN (Print)	978-3-319-11963-2
DOIs	https://doi.org/10.1007/978-3-319-11964-9_27
Publication status	Published - 2014
Event	ISWC 2014 - Trentino, Italy Duration: 19 Oct 2014 → 23 Oct 2014

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer International Publishing
Volume	8796
ISSN (Print)	0302-9743

Conference

Conference	ISWC 2014
Country/Territory	Italy
Period	19/10/14 → 23/10/14

Access to Document

10.1007/978-3-319-11964-9_27

1408.0926v1Accepted author manuscript, 767 KB

http://link.springer.com/chapter/10.1007%2F978-3-319-11964-9_27

DIACHRON - Managing the Evolution and Preservation of the Data Webb (RTD)
Viglas, S., Buneman, P. & Cheney, J.
EU government bodies
1/04/13 → 31/03/16
Project: Research

Cite this

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title = "Dynamic Provenance for SPARQL Update",

abstract = "While the Semantic Web currently can exhibit provenance information by using the W3C PROV standards, there is a {"}missing link{"} in connecting PROV to storing and querying for dynamic changes to RDF graphs using SPARQL. Solving this problem would be required for such clear use-cases as the creation of version control systems for RDF. While some provenance models and annotation techniques for storing and querying provenance data originally developed with databases or workflows in mind transfer readily to RDF and SPARQL, these techniques do not readily adapt to describing changes in dynamic RDF datasets over time. In this paper we explore how to adapt the dynamic copy-paste provenance model of Buneman et al. [2] to RDF datasets that change over time in response to SPARQL updates, how to represent the resulting provenance records themselves as RDF in a manner compatible with W3C PROV, and how the provenance information can be defined by reinterpreting SPARQL updates. The primary contribution of this paper is a semantic framework that enables the semantics of SPARQL Update to be used as the basis for a 'cut-and-paste' provenance model in a principled manner. ",

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year = "2014",

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language = "English",

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series = "Lecture Notes in Computer Science",

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booktitle = "The Semantic Web – ISWC 2014",

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Dynamic Provenance for SPARQL Update. / Cheney, James; Halpin, Harry.

The Semantic Web – ISWC 2014: 13th International Semantic Web Conference, Riva del Garda, Italy, October 19-23, 2014. Proceedings, Part I. Springer International Publishing, 2014. (Lecture Notes in Computer Science; Vol. 8796).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Dynamic Provenance for SPARQL Update

AU - Cheney, James

AU - Halpin, Harry

PY - 2014

Y1 - 2014

N2 - While the Semantic Web currently can exhibit provenance information by using the W3C PROV standards, there is a "missing link" in connecting PROV to storing and querying for dynamic changes to RDF graphs using SPARQL. Solving this problem would be required for such clear use-cases as the creation of version control systems for RDF. While some provenance models and annotation techniques for storing and querying provenance data originally developed with databases or workflows in mind transfer readily to RDF and SPARQL, these techniques do not readily adapt to describing changes in dynamic RDF datasets over time. In this paper we explore how to adapt the dynamic copy-paste provenance model of Buneman et al. [2] to RDF datasets that change over time in response to SPARQL updates, how to represent the resulting provenance records themselves as RDF in a manner compatible with W3C PROV, and how the provenance information can be defined by reinterpreting SPARQL updates. The primary contribution of this paper is a semantic framework that enables the semantics of SPARQL Update to be used as the basis for a 'cut-and-paste' provenance model in a principled manner.

AB - While the Semantic Web currently can exhibit provenance information by using the W3C PROV standards, there is a "missing link" in connecting PROV to storing and querying for dynamic changes to RDF graphs using SPARQL. Solving this problem would be required for such clear use-cases as the creation of version control systems for RDF. While some provenance models and annotation techniques for storing and querying provenance data originally developed with databases or workflows in mind transfer readily to RDF and SPARQL, these techniques do not readily adapt to describing changes in dynamic RDF datasets over time. In this paper we explore how to adapt the dynamic copy-paste provenance model of Buneman et al. [2] to RDF datasets that change over time in response to SPARQL updates, how to represent the resulting provenance records themselves as RDF in a manner compatible with W3C PROV, and how the provenance information can be defined by reinterpreting SPARQL updates. The primary contribution of this paper is a semantic framework that enables the semantics of SPARQL Update to be used as the basis for a 'cut-and-paste' provenance model in a principled manner.

U2 - 10.1007/978-3-319-11964-9_27

DO - 10.1007/978-3-319-11964-9_27

M3 - Conference contribution

SN - 978-3-319-11963-2

T3 - Lecture Notes in Computer Science

BT - The Semantic Web – ISWC 2014

PB - Springer International Publishing

T2 - ISWC 2014

Y2 - 19 October 2014 through 23 October 2014

ER -

Dynamic Provenance for SPARQL Update

Abstract

Publication series

Conference

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Projects

DIACHRON - Managing the Evolution and Preservation of the Data Webb (RTD)

Cite this