Advanced search
Start date

Impact of open linked data evolution

Grant number: 18/05357-8
Support type:Scholarships in Brazil - Scientific Initiation
Effective date (Start): August 01, 2018
Effective date (End): July 31, 2019
Field of knowledge:Physical Sciences and Mathematics - Computer Science - Computing Methodologies and Techniques
Principal Investigator:Julio Cesar dos Reis
Grantee:Julio Kiyoshi Rodrigues Matsoui
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


Data description about entities at the Web in the standard format have been had a large use in the past few years. The main explored format in the definition of data elements is the Resource Description Framework (RDF). The number of databases in this format bringing interconnected data between different sources has increased. The large data volume demands increasingly automatic methods and tools to accomplish analyses and corrections over data. Particularly, interconnect data in the context of Semantic Web tend to be dynamics. New versions of concepts, their relations and instances are redefined overtime and, in a certain way, change the meaning and properties of the entities. Thus, it becomes necessary technics for the understanding of interconnected data evolution and such evolution influences established interconnections between different bases. This research plan aims to study, by means of deep experimental analysis, how modifications occur from a knowledge base version to the another. The project aims at understanding the necessary factors about the detected ontology changes for adaptions of interconnections between instances of concepts. For this purpose, it is necessary to select distinct versions of the same real-world dataset. Then we will define an experimental procedure and develop a tool for automatic analysis of the modifications between the versions of a knowledge base. The expected results imply in a computational mechanism prototype for the analysis of the evolution of interconnected. (AU)