Paper Info
Title
DBpedia and the live extraction of structured data from Wikipedia
Abstract
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 heavyweight 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. This paper seeks to address these issues. Design/methodology/approach - Wikipedia provides DBpedia with a continuous stream of updates, i.e. a stream of articles, which were recently updated. 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 the DBpedia endpoint and other DBpedia mirrors. Findings - During the realization of DBpedia-Live the authors 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 are 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.
Year
DOI
Venue
2012
10.1108/00330331211221828
PROGRAM-ELECTRONIC LIBRARY AND INFORMATION SYSTEMS
Keywords
Field
DocType
Knowledge extraction,RDF,Wikipedia,Triplestore,Knowledge management,Data management,Databases,Websites
Metadata,World Wide Web,Information retrieval,Computer science,Triplestore,Linked data,SPARQL,Knowledge extraction,Encyclopedia,Data management,RDF,Database
Journal
Volume
Issue
ISSN
46
2
0033-0337
Citations 
PageRank 
References 
14
1.07
1
Authors
5
Name
Order
Citations
PageRank
Mohamed Morsey140517.67
Jens Lehmann25375355.08
Sören Auer35711418.56
Claus Stadler436326.65
Sebastian Hellmann52007130.09