DSpace 2.0 Storage Service Implementations Based on Semantic Content Repository - Yigang Zhou
Develop DSpace storage service implementations based on semantic content repositories (TripleStore). - Yigang Zhou
Abstract
Project Title: |
DSpace 2.0 Storage Service Implementations Based on Semantic Content Repository |
Student: |
Yigang Zhou, Wuhan University, P.R. China |
Mentors: |
Mark Diggory |
Contacting author: |
egang DOT zhou AT gmail DOT com |
SCM Location for Project: |
http://scm.dspace.org/svn/repo/sandbox/gsoc/2010/triplestore/ |
On the on hand, DSpace 2.0 has a generalized storage service API which allows a DSpace 2.0 repository to use many possible systems to store digital repository data. It requires underlining storage systems able to accommodate both blobs(e.g. binary/text files) and its metadata information. On the other hand, semantic content repositories (triplestores) such as Mulgural, Sesame and Tupelo are available for semantic data storage, which are suitable for storing blobs and metadata from DSpace represented in the form of RDF triples. In this project, I will develop DSpace storage service implementations based on semantic content repositories. Finally, I will cooperate with Andrius Blažinskas who is working on another GSoC 2010 project of back-porting DSpace 2.0 storage interfaces to 1.x, to make triplestore storage service ready to use for DSpace 1.x.