Popular knowledge bases that provide SPARQL endpoints for the web are usually experiencing a high number of requests, which often results in low availability of their interfaces. A common approach to counter the availability issue is to run a local mirror of the knowledge base. Running a SPARQL endpoint is currently a complex task which requires a lot of effort and technical support for domain experts who just want to use the SPARQL interface. With our approach of containerised knowledge base shipping we are introducing a simple to setup methodology for running a local mirror of an RDF knowledge base and SPARQL endpoint with interchangeable exploration components. The flexibility of the presented approach further helps maintaining the publication infrastructure for dataset projects. We are demonstrating and evaluating the presented methodology at the example of the dataset projects DBpedia, Catalogus Professorum Lipsiensium and Sächsisches Pfarrerbuch.
AKSW, Universität Leipzig
www.aksw.org
As a research associate of the working group "Agile Knowledge Engineering and Semantic Web" (AKSW) at the Leipzig University, Natanael Arndt is an active participant in the research on collaborative knowledge engineering and Linked Data for many years. He has worked with the Leipzig University Library in the management of electronic resources (e-paper, e-books, databases) using Linked Data.
Software Engineer
I am a research engineer that currently is working on large-scale semantic information management and integration to further the efforts of the DBpedia Association. Additionally, I also carry a strong interest in Natual Language Processing (lately in particular in Computational Morphology and Named Entity Recognition).
