LDIF – Linked Data Integration Framework

LDIF is a novel open-source Linked Data Integration Framework that addresses prevalent Linked Data integration issues for application developers. LDIF translates heterogeneous Linked Data from the Web into a clean, local target representation while keeping track of data provenance.

LDIF is a joint project with the Web-based Systems Group of Freie Universität Berlin and quickly maturing, with support for in-memory, triple store (TDB) and cluster (Hadoop) deployments.

Funding is provided by Vulcan, Inc. as part of its Project Halo.

Consulting

We provide engineering and consulting services to organizations that seek to publish, consume and transform Linked Data.
Contact us to discuss your project.

Meet the Team

Christian Becker

Team Lead

Christian has been active in the Semantic Web field since 2007 and a core developer of DBpedia, D2R Server and Marbles.
Before joining MES, he held engineering positions in corporate and start-up environments. Christian holds a Diploma (MSc) in Business Administration from Freie Universität Berlin.

Andrea Matteini

Software Engineer

Andrea joined MES in 2010 and is mainly involved in the LDIF project. He has several years of consulting experience and has been involved with Semantic Web technologies since 2005.
He holds an MSc in Computer Science from the University of Florence and moved to Berlin for a job he enjoys.

Magnus Niemann

Software Engineer

Magnus is working as a consultant, architect and trainer within Semantic Technologies since 2004. He joined MES in 2010 to support development in the SMW-LDE and LDIF projects. Magnus is a certified Semantic Technologies Academy Trainer by STI International and holds a Diploma (MSc) in Computer Science from Technische Universität Berlin.

Advisor

Prof. Dr. Christian Bizer

Christian Bizer is the head of the Web-based Systems Group at Freie Universität Berlin. He explores technical and economic questions concerning the development of global, decentralized information environments. The results of his work include the Named Graphs data model which was adopted into the W3C SPARQL recommendation; the widely used D2RQ mapping language; the Silk – Linking Framework; and the Berlin SPARQL Benchmark for measuring the performance of RDF stores. He has initiated the W3C Linking Open Data community effort and co-founded the DBpedia project. Christian obtained his doctoral degree with a dissertation on information quality in the context of Web-based Systems.