LODMF: A Linked Open Data Maintenance Framework

RDF triples have been extensively deployed for the interlinking of data in a structured way. Links between web resources described by RDF models are at the core of the Semantic Web. By exploring a variety of computation methods, semi-automatic algorithms are used to build connections among RDF datasets. However, RDF assertions are subject to constant changes, which can affect existing links. Interconnected open data demands (semi-)automatic methods and tools to maintain their consistency over time. This paper presents a framework for supporting the maintenance of “external” links, which connect different Linked Open Data (LOD) datasets. The LODMF framework is suited to detect change operations on RDF triples as well as deal with affected links to other repositories. We define link maintenance actions, which are applied based on triple change operations to keep links up-to-date. This study illustrates how the framework works in practical scenarios. Our contribution paves the way for the development of (semi-)automatic mechanisms for link evolution in LOD.Web of Data evolution; Link evolution; Change Operations; Link changes; Link Repairment.