HAL will be down for maintenance from Friday, June 10 at 4pm through Monday, June 13 at 9am. More information
Skip to Main content Skip to Navigation
Theses

Generation of Linked Data Platform in Highly Decentralized Information Ecosystem

Abstract : Information ecosystem with decentralized ·architectures have known some success in teims of data interopera.bility. However, today, information ecosystems in which organizations are operating ·are moving towards highly decentralized architectures tor reasons such as globalization and multinationalism. The problem in highly decenti'alized information ecosystem is that while data is heterogeneous, there is little to no coordination between its different actors. Consequently,. resolving data heterogeneity and enhancing interoperability betweèn the information systems become more challenging in such a context.In this work, our hypothesis is that Semantic Web technologies and in particular the Linked Data Platform 1.0 (LDP) standard can be used to provide a homogeneous view and access to self-described data. Thus, it decreases the need for contacting data providers to understand the data. However, while LDP implementations exist, they provide no support for àutomating the generation of LDPs., Consequently, deploying LDPs from existing data sources involves much manual development. To salve this problem, we propose an approach using a language to describe. how existing data sources can.be used t0 generate LDPs compatible with any implementa:tion of the LDP standard. We foi:mally desci:ibe the syntax and semantics of language . We provide an irriplementation of the approach that instantiates an automatized. generation and deployment workflow. Finally, we evaluate our approach by performing several experiments to _show how our àpproach automatizes the generation of LDPs, while enhancing·design reusability, from existing data sources that are heterogeneous or have basting constraints.
Document type :
Theses
Complete list of metadata

https://tel.archives-ouvertes.fr/tel-03534245
Contributor : Abes Star :  Contact
Submitted on : Wednesday, January 19, 2022 - 12:16:14 PM
Last modification on : Friday, January 21, 2022 - 3:05:36 AM
Long-term archiving on: : Wednesday, April 20, 2022 - 6:34:08 PM

File

noorani-bakerally-diff.pdf
Version validated by the jury (STAR)

Identifiers

  • HAL Id : tel-03534245, version 1

Collections

Citation

Mohammad Noorani Bakerally. Generation of Linked Data Platform in Highly Decentralized Information Ecosystem. Other [cs.OH]. Université de Lyon, 2018. English. ⟨NNT : 2018LYSEM029⟩. ⟨tel-03534245⟩

Share

Metrics

Record views

35

Files downloads

30