2015/04/24 by Marios Meimaris, George Papastefanatos, Meimaris, Marios +7
Biochemistry, Genetics and Molecular Biology · Computer Science · #Advanced Database Systems and Queries #Biomedical Text Mining and Ontologies #Databases (cs.DB) #FOS: Computer and information sciences #Semantic Web and Ontologies
paper · pdf · doi:10.48550/arxiv.1504.06451
openalex publication_date 2015/04/24 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
The web of data has brought forth the need to preserve and sustain evolving information within linked datasets; however, a basic requirement of data preservation is the maintenance of the datasets' structural characteristics as well. As open data are often found using different and/or heterogeneous data models and schemata from one source to another, there is a need to reconcile these mismatches and provide common denominations of interpretation on a multitude of levels, in order to be able to preserve and manage the evolution of the generated resources. In this paper, we present a linked data approach for the preservation and archiving of open heterogeneous datasets that evolve through time, at both the structural and the semantic layer. We first propose a set of re-quirements for modelling evolving linked datasets. We then proceed on concep-tualizing a modelling framework for evolving entities and place these in a 2x2 model space that consists of the semantic and the temporal dimensions.