A framework for extracting and representing project knowledge contexts using topic models and dynamic knowledge maps

There is still a lack of effective paradigms and tools for analysing and discovering the contents and relationships of project knowledge contexts in the field of project management. In this paper, a new framework for extracting and representing project knowledge contexts using topic models and dynamic knowledge maps under big data environments is proposed and developed. The conceptual paradigm, theoretical underpinning, extended topic model, and illustration examples of the ontology model for project knowledge maps are presented, with further research work envisaged.

SecGOD - Google Docs: Now I Feel Safer!

This paper presents SecGOD. A tool that protects the privacy of documents created with online office suites. SecGOD is implemented as a Greasemonkey java-script making it deployable on all popular greesemonkey compatible browsers and utilizes symmetric key encryption. All operations run on the client side, with SecGOD operating invisibly as concerned by the cloud, with no changes needed to the code that is provided to the cloud server provider. Finally, the effectiveness of SecGOD is demonstrated by conducting extensive experiments measuring the processing time for the three versions of AES (128, 192, 256 bits).