Araştırma Makalesi

Data Management and Ontology Development for Provenance-Aware Organizations in Linked Data Space

Cilt: 13 Sayı: 2 31 Aralık 2023
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EN

Data Management and Ontology Development for Provenance-Aware Organizations in Linked Data Space

Öz

The need to track the origin of shared data/datasets has become apparent, highlighting the necessity of monitoring factors such as trust related to the data/datasets with the widespread use of social media. The concept of Linked Data Space needs to be considered in conjunction with organizations and their provenance with respect to their origin assuming that the shared data is semantic and considering organizations' access to relevant semantic data. In this context, this study elaborates on the concept of Linked Data Space, introducing the terms Internal Data and External Data to the literature. An architecture for Linked Data Space and data management for organizations is defined in addition to these concepts. Furthermore, the study explains how organizations can access External Data in the Linked Data Space and how provenance metadata and ontologies will be created. These developed methods are illustrated in the News Aggregator Scenario, a main scenario for provenance, demonstrating how it can work in a use case.

Anahtar Kelimeler

Kaynakça

  1. [1] C. Bizer, T. Heath, T. Berners-Lee “Linked data: the story so far”, Linking the World’s Information: Essays on Tim Berners- Lee’s Invention of the World Wide Web, Association for Computing Machinery (ACM), New York, NY, United States, pp. 115-143, September 2023.
  2. [2] E. Curry, S. Scerri, T. Tuikka (ed.), Data Spaces: Design, Deployment and Future Directions. Springer Nature, 2022.
  3. [3] E. Curry, Real-time Linked Dataspaces: Enabling Data Ecosystems for Intelligent Systems. Springer Nature, 2020.
  4. [4] T. Heath, C. Bizer, Linked Data: Evolving the Web into a Global Data Space. Springer Nature, 2022.
  5. [5] M. Franklin, A. Halevy, D. Maier. “From databases to dataspaces: a new abstraction for information management,” ACM Sigmod Record, vol 34, no. 4, pp. 27-33, 2005.
  6. [6] A. Halevy, M. Franklin, D. Maier. “Principles of dataspace systems,” Twenty-fifth ACM SIGMOD-SIGACT-SIGART Symposium on Principles of Database Systems, pp. 1-9, 2006.
  7. [7] M. Herschel, R. Diestelkämper, H. Ben Lahmar, “A survey on provenance: what for? what form? what from?,” The VLDB Journal, vol. 26, pp. 881-906, 2017.
  8. [8] L.Moreau, P. Groth, Provenance: An Introduction to PROV. Springer Nature, 2022.

Ayrıntılar

Birincil Dil

İngilizce

Konular

Yazılım Mühendisliği (Diğer)

Bölüm

Araştırma Makalesi

Yayımlanma Tarihi

31 Aralık 2023

Gönderilme Tarihi

8 Aralık 2023

Kabul Tarihi

26 Aralık 2023

Yayımlandığı Sayı

Yıl 2023 Cilt: 13 Sayı: 2

Kaynak Göster

APA
Soygazi, F., Tuğlular, T., & Dikenelli, O. (2023). Data Management and Ontology Development for Provenance-Aware Organizations in Linked Data Space. European Journal of Technique (EJT), 13(2), 130-141. https://doi.org/10.36222/ejt.1402149
AMA
1.Soygazi F, Tuğlular T, Dikenelli O. Data Management and Ontology Development for Provenance-Aware Organizations in Linked Data Space. EJT. 2023;13(2):130-141. doi:10.36222/ejt.1402149
Chicago
Soygazi, Fatih, Tuğkan Tuğlular, ve Oğuz Dikenelli. 2023. “Data Management and Ontology Development for Provenance-Aware Organizations in Linked Data Space”. European Journal of Technique (EJT) 13 (2): 130-41. https://doi.org/10.36222/ejt.1402149.
EndNote
Soygazi F, Tuğlular T, Dikenelli O (01 Aralık 2023) Data Management and Ontology Development for Provenance-Aware Organizations in Linked Data Space. European Journal of Technique (EJT) 13 2 130–141.
IEEE
[1]F. Soygazi, T. Tuğlular, ve O. Dikenelli, “Data Management and Ontology Development for Provenance-Aware Organizations in Linked Data Space”, EJT, c. 13, sy 2, ss. 130–141, Ara. 2023, doi: 10.36222/ejt.1402149.
ISNAD
Soygazi, Fatih - Tuğlular, Tuğkan - Dikenelli, Oğuz. “Data Management and Ontology Development for Provenance-Aware Organizations in Linked Data Space”. European Journal of Technique (EJT) 13/2 (01 Aralık 2023): 130-141. https://doi.org/10.36222/ejt.1402149.
JAMA
1.Soygazi F, Tuğlular T, Dikenelli O. Data Management and Ontology Development for Provenance-Aware Organizations in Linked Data Space. EJT. 2023;13:130–141.
MLA
Soygazi, Fatih, vd. “Data Management and Ontology Development for Provenance-Aware Organizations in Linked Data Space”. European Journal of Technique (EJT), c. 13, sy 2, Aralık 2023, ss. 130-41, doi:10.36222/ejt.1402149.
Vancouver
1.Fatih Soygazi, Tuğkan Tuğlular, Oğuz Dikenelli. Data Management and Ontology Development for Provenance-Aware Organizations in Linked Data Space. EJT. 01 Aralık 2023;13(2):130-41. doi:10.36222/ejt.1402149