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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Link maintenance for integrity in linked open data evolution: Literature survey and open challenges

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Author(s):
Regino, Andre Gomes [1] ; dos Reis, Julio Cesar [1, 2] ; Bonacin, Rodrigo [3, 4] ; Morshed, Ahsan [5] ; Sellis, Timos [6] ; Corcho, Oscar
Total Authors: 6
Affiliation:
[1] Univ Estadual Campinas, Inst Comp, Campinas, SP - Brazil
[2] Univ Estadual Campinas, Nucleus Informat Appl Educ, Campinas, SP - Brazil
[3] Ctr Informat Technol Renato Archer, Campinas, SP - Brazil
[4] UNIFACCAMP, Campo Limpo Paulista, SP - Brazil
[5] Cent Queensland Univ Technol, Melbourne, Vic - Australia
[6] Swinburne Univ Technol, Melbourne, Vic - Australia
Total Affiliations: 6
Document type: Journal article
Source: SEMANTIC WEB; v. 12, n. 3, p. 517-541, 2021.
Web of Science Citations: 0
Abstract

RDF data has been extensively deployed describing various types of resources in a structured way. Links between data elements described by RDF models stand for the core of SemanticWeb. The rising amount of structured data published in public RDF repositories, also known as Linked Open Data, elucidates the success of the global and unified dataset proposed by the vision of the Semantic Web. Nowadays, semi-automatic algorithms build connections among these datasets by exploring a variety of methods. Interconnected open data demands automatic methods and tools to maintain their consistency over time. The update of linked data is considered as key process due to the evolutionary characteristic of such structured datasets. However, data changing operations might influence well-formed links, which turns difficult to maintain the consistencies of connections over time. In this article, we propose a thorough survey that provides a systematic review of the state of the art in link maintenance in linked open data evolution scenario. We conduct a detailed analysis of the literature for characterising and understanding methods and algorithms responsible for detecting, fixing and updating links between RDF data. Our investigation provides a categorisation of existing approaches as well as describes and discusses existing studies. The results reveal an absence of comprehensive solutions suited to fully detect, warn and automatically maintain the consistency of linked data over time. (AU)

FAPESP's process: 13/08293-7 - CCES - Center for Computational Engineering and Sciences
Grantee:Munir Salomao Skaf
Support Opportunities: Research Grants - Research, Innovation and Dissemination Centers - RIDC
FAPESP's process: 18/08082-0 - Managing the effects of linked data evolution
Grantee:Julio Cesar dos Reis
Support Opportunities: Regular Research Grants
FAPESP's process: 18/14199-7 - Maintenance of links in the semantic web
Grantee:André Gomes Regino
Support Opportunities: Scholarships in Brazil - Master
FAPESP's process: 17/02325-5 - EvOLoD: linked data evolution on the Semantic Web
Grantee:Julio Cesar dos Reis
Support Opportunities: Research Grants - Young Investigators Grants