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Managing the effects of linked data evolution

Grant number: 18/08082-0
Support type:Regular Research Grants
Duration: September 01, 2018 - August 31, 2019
Field of knowledge:Physical Sciences and Mathematics - Computer Science
Cooperation agreement: Swinburne University of Technology
Mobility Program: SPRINT - Projetos de pesquisa - Mobilidade
Principal Investigator:Julio Cesar dos Reis
Grantee:Julio Cesar dos Reis
Principal investigator abroad: Timos Sellis
Institution abroad: Swinburne University of Technology, Hawthorn, Australia
Home Institution: Instituto de Computação (IC). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil
Associated research grant:17/02325-5 - EvOLoD: linked data evolution on the Semantic Web, AP.JP

Abstract

The Linked Data model has shown the way towards publishing and interlinking data on the web by using Semantic Web Technologies. These technologies are based on the RDF model data which describes diverse types of resource in a structured way and provide links between distinct resources. The evolving RDF data model creates data synchronization and link maintenance issues. This research project aims to investigate new methods and algorithms capable of making corrections in connections between structured data (organized according to ontologies) based on the evolution of ontological properties (changes). (AU)