Scalable Semantic Version Control for Linked Data Management
Slides
Related content
Report a problem or upload files
If you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.
Description
Linked Data is the Semantic Web's established standard for publishing and interlinking data. When authors collaborate on a data set, distribution and tracking of changes are crucial aspects. Several approaches for version control were presented in this area each focusing on different aspects and bounded to different limitations. In this paper we present an approach for semantic version control for dynamic Linked Data based on a delta-based storage strategy and on-demand reconstruction of historic versions. The approach is intended for large data sets and supports targeted and cross-version queries. The approach was implemented prototypically on top of a scalable triple store and tested with a generated data set based on parts of DBpedia with several million triples and thousands of versions.
Link this page
Would you like to put a link to this lecture on your homepage?Go ahead! Copy the HTML snippet !
Write your own review or comment: