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Reseach Article

Provenance Representation and Storage Techniques in Linked Data: A State-of-the-art Survey

by Ujjal Marjit, Kumar Sharma, Utpal Biswas
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 38 - Number 9
Year of Publication: 2012
Authors: Ujjal Marjit, Kumar Sharma, Utpal Biswas
10.5120/4717-6889

Ujjal Marjit, Kumar Sharma, Utpal Biswas . Provenance Representation and Storage Techniques in Linked Data: A State-of-the-art Survey. International Journal of Computer Applications. 38, 9 ( January 2012), 23-28. DOI=10.5120/4717-6889

@article{ 10.5120/4717-6889,
author = { Ujjal Marjit, Kumar Sharma, Utpal Biswas },
title = { Provenance Representation and Storage Techniques in Linked Data: A State-of-the-art Survey },
journal = { International Journal of Computer Applications },
issue_date = { January 2012 },
volume = { 38 },
number = { 9 },
month = { January },
year = { 2012 },
issn = { 0975-8887 },
pages = { 23-28 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume38/number9/4717-6889/ },
doi = { 10.5120/4717-6889 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:24:58.882099+05:30
%A Ujjal Marjit
%A Kumar Sharma
%A Utpal Biswas
%T Provenance Representation and Storage Techniques in Linked Data: A State-of-the-art Survey
%J International Journal of Computer Applications
%@ 0975-8887
%V 38
%N 9
%P 23-28
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The Linked Open Data project has changed the world by allowing publishers to publish data of any kind as linked data and share, reuse them among other data. In Open Data each data is easily accessible and processable by machine hence one can navigate to an endless web of data sources. In the present day, many times Linked Data still suffers from trust, quality and privacy. It is requisite to endow with provenance access mechanisms that express the diverse characteristics of a dataset. In a huge volume of data-sources it is thorny to find out the trusted data and determine what a data is meant for. The Data Provenance in the Web of Data is a new technique which enabled the publishers and consumers of Linked Data to assess the quality and trustworthiness of the data. Several techniques have been emerged to represent and describe the provenance metadata in relation to the linked datasets. In this paper we appraise different techniques in this field mostly in terms of the representation, storage, and generation of provenance information of Linked Data. In addition to that we have illustrated, evaluated and identified the contemporary research challenges in this field.

References
  1. Uldis Bojars, Alexandre Passant, Richard Cyganiak, John Breslin, "Weaving SIOC into the Web of Linked Data". Presented at WWW 2008 Workshop Linked Data on the Web (LDOW 2008), Beijing, China, April 2008.
  2. Christian Becker, Christian Bizer, “DBpedia Mobile: A Location-Enabled Linked Data Browser”. In 1st Workshop about Linked Data on the Web (LDOW2008), April 2008.
  3. Yogesh L. Simmhan, Beth Plale, Dennis Gannon, “A Survey of Data Provenance Techniques”, Indiana University, Technical Report IUB-CS-TR618, 2005.
  4. Peter Buneman, Sanjeev Khanna, Wang-Chiew Tan, “Why and Where: A Characterization of Data Provenance”. In Proceedings of the 8th International Conference on Database Theory (ICDT). Springer, Jan. 2001.
  5. Tope Omitola, Landong Zuo, Christopher Gutteridge, Ian C. Millard, Hugh Glaser, Nicholas Gibbins, Nigel Shadbolt, “Tracing the Provenance of Linked Data using voiD”. The International Conference on Web Intelligence, Mining and Semantics (WIMS'11).
  6. Tope Omitola, Nicholas Gibbins, and Nigel Shadbolt. “Provenance in Linked Data Integration”. Future Internet Assembly, 16-17 December 2010, Ghent, Belgium.
  7. Keith Alexander, Richard Cyganiak, Michael Hausenblas, Jun Zhao. “Describing Linked Datasets, On the Design and Usage of voiD, the Vocabulary Of Interlinked Datasets”. LDOW2009, 2009.
  8. Olaf Hartig, Jun Zhao, and Hannes Muhleisen. “Automatic Integration of Metadata into the Web of Linked Data”. Proceedings of the 4th International Workshop on Semantic Web Enabled Software Engineering (SWESE) at the 7th International
  9. Uldis Bojars, Alexandre Passant, Richard Cyganiak, John Breslin, "Weaving SIOC into the Web of Linked Data". Presented at WWW 2008 Workshop Linked Data on the Web (LDOW 2008), Beijing, China, April 2008.
  10. Olaf Hartig ,“Provenance Information in the Web of Data”. Linked Data on the Web Workshop at WWW (2009).
  11. Olaf Hartig, Jun Zhao, “Publishing and Consuming Provenance Metadata on the Web of Linked Data”. In Proceedings of the 3rd International Provenance and Annotation Workshop (IPAW), Troy, New York, USA, Jun. 2010.
  12. Li Ding, Tim Finin, Yun Peng, Paulo Pinheiro da Silva, and Deborah L. McGuinness. “Tracking RDF Graph Provenance using RDF Molecules”. Technical Report TR-CS-05-06, UMBC (2005).
  13. Andreas Harth, Axel Polleres, Stefan Decker. Towards A Social Provenance Model for the Web. Proceedings of the Workshop on Principles of Provenance. (2007).
  14. J. R. Hobbs and F. Pan. An ontology of time for the semantic web. ACM Transactions on Asian Language Processing (TALIP): Special issue on Temporal Information Processing, 3(1), 2004.
  15. Christian Bizer. “Semantic Web Publishing Vocabulary (SWP) User Manual”. Available at http://www4.wiwiss.fu-berlin.de/bizer/wiqa/swp/swp-usermanual.pdf
  16. Jun Zhao, Graham Klyne and David Shotton, “Provenance and Linked Data in Biological Data Web”. LDOW2008, Beijing, China, April 22, 2008.
  17. Christian Bizer, Tom Heath, Tim Berners-Lee. “Linked Data – The Story So Far”, International Journal on Semantic Web and Information Systems (IJWIS), Vol. 5, No. 3, pp. 1-22, 2009.
  18. Edoardo Pignotti, David Corsar, Peter Edwards. “Provenance Principles for Open Data”. In Proceedings of DE2011, November, 2011.
  19. Olaf Hartig, “Trustworthiness of Data on the Web”. In Conference Proceedings of the STI Berlin & CSW PhD Workshop, Berlin, Germany, September. 2008.
Index Terms

Computer Science
Information Sciences

Keywords

Linked Data Data Provenance VoID Web of Data URI