The project Linked Data for Professional Education (LD4PE), funded between 2014 and 2017 by the Institute of Museum and Library Studies (IMLS) and lead by the University of Washington Information School, developed a web-based exploratorium to support structured discovery of online learning resources about Linked Data. The project produced this website, which has been converted into a static site for preservation, and a Linked Data Competency Index. DCMI will keep this site online on a "best effort" basis as long as resources permit. The Internet Archive's Wayback Machine should be regarded as the source of archival copies for the long term.

LDIF – A Framework for Large-Scale Linked Data Integration

While the Web of Data grows rapidly, the development of Linked Data applications is still cumbersome and hampered due to the lack of software libraries for accessing, integrating and cleansing Linked Data from the Web. In order to make it easier to develop Linked Data applications, the authors propose LDIF, the Linked Data Integration Framework. The LDIF framework consists of a runtime environment and a set of pluggable modules. It also provides access modules for replicating Web data locally via file download, crawling or SPARQL.

URL: http://wifo5-03.informatik.uni-mannheim.de/bizer/pub/Schultz-et-al-LDIF-WWW2012-DevTrack.pdf
Keywords: Data cleansing, Mapping, R2RML, Provenance, Hadoop, Cluster, Apache
Author: Becker, Christian
Date created: 2012-04-18 04:00:00.000
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P10M

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LDIF – A Framework for Large-Scale Linked Data Integration