Purpose - DBpedia extracts structured information from Wikipedia,
interlinks it with other knowledge bases and freely publishes the
results on the Web using Linked Data and SPARQL. However, the DBpedia
release process is heavy-weight and releases are sometimes based
on several months old data. DBpedia-Live solves this problem by providing
a live synchronization method based on the update stream of Wikipedia.
Design/methodology/approach - Wikipedia provides DBpedia with a continuous
stream of updates, i.e. a stream of recently updated articles. DBpedia-Live
processes that stream on the fly to obtain RDF data and stores the
extracted data back to DBpedia. DBpedia-Live publishes the newly
added/deleted triples in files, in order to enable synchronization
between our DBpedia endpoint and other DBpedia mirrors. Findings
- During the realization of DBpedia-Live we learned, that it is crucial
to process Wikipedia updates in a priority queue. Recently-updated
Wikipedia articles should have the highest priority, over mapping-changes
and unmodified pages. An overall finding is that there is a plenty
of opportunities arising from the emerging Web of Data for librarians.
Practical implications - DBpedia had and has a great effect on the
Web of Data and became a crystallization point for it. Many companies
and researchers use DBpedia and its public services to improve their
applications and research approaches. The DBpedia-Live framework
improves DBpedia further by timely synchronizing it with Wikipedia,
which is relevant for many use cases requiring up-to-date information.
Originality/value - The new DBpedia-Live framework adds new features
to the old DBpedia-Live framework, e.g. abstract extraction, ontology
changes, and changesets publication.