F2R: Publishing file systems as Linked Data

As a major role for data storage and knowledge management, file systems have been used both in enterprise contexts and personal information sphere for a long time. However, file systems organize file data using plain file hierarchies and have very little support for semantic annotation, linkage and semantic categorization. It is hard to integrate the file data with the Web of Data. In this paper, we present F2R, a lightweight system for exposing file systems as Linked Data and automatically linking files to DBpedia or external sources. We propose four kinds of file metadata to enrich the information of files and adopt semantic web tools to automatically link to other sources, which enables new possibilities of the Web-based data integration and semantic actions.

[1]  Jens Lehmann,et al.  Triplify: light-weight linked data publication from relational databases , 2009, WWW '09.

[2]  Martin Gaedke,et al.  Discovering and Maintaining Links on the Web of Data , 2009, SEMWEB.

[3]  Niko Popitsch,et al.  Lifting File Systems into the Linked Data Cloud with TripFS , 2010, LDOW.

[4]  Jens Lehmann,et al.  DBpedia: A Nucleus for a Web of Open Data , 2007, ISWC/ASWC.

[5]  Tim Berners-Lee,et al.  Linked Data - The Story So Far , 2009, Int. J. Semantic Web Inf. Syst..

[6]  Jianhui Li,et al.  Publishing distributed files as Linked Data , 2011, 2011 Eighth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD).

[7]  Brian McBride,et al.  Jena: A Semantic Web Toolkit , 2002, IEEE Internet Comput..

[8]  A. Swartz MusicBrainz: A Semantic Web Service , 2002, IEEE Intell. Syst..

[9]  E. Prud hommeaux,et al.  SPARQL query language for RDF , 2011 .

[10]  GhemawatSanjay,et al.  The Google file system , 2003 .