Semantic publishing adopts the Semantic Web technology into the digital publishing domain, which represents publication information on the web as documents accompanied by semantic markup. It provides a way for computers to understand the structure and even the meaning of the published data, making information search and data integration more efficient. That is, machines can process the data and knowledge itself with a goal of obtaining more meaningful results. The main advantage is to share and connect the relationships among publications and other artefacts of scholarly research from different sources. This project explores a platform independent solution to extract, discover, classify and visualise the linkage among the digital documents within the repository, e.g., cross-citations, collaboration information, usage statistics, etc. The project will use Apache Jena - an open source Java framework for building Semantic Web and Linked Data applications.
Undergraduate
Research Components:
1) Research in the roles and advantages of the semantic web technology to digital publication.
2) Investigate the use of ontology, rules and reasoning engines in providing a more "intelligent" solution for digital publication.
Implementation:
Based on the proposed solution, develop a software system that realises the semantic publishing environment.
None
Lab allocations have not been finalised