A Support Platform for Collaborative Workflow based on Seamless Repository

Teamwork participants are always in demand of better working and collaboration support. The mobile cloud network has empowered the teamwork to be more pervasive by easing the spatial and temporal constrains. SNS and big data enable a verity of support tools or systems for supporting teamwork. However, the collaborative workflow gaps still commonly exist in working and collaboration among co-workers who are familiar with different support systems. This dissertation aims at bridging the collaborative workflow gaps by providing support of seamless integration and knowledge correlating. The different but persistent personal preferences of using the support systems require new support of seamless integration. And also the different background knowledge and the different purposes of utilizing knowledge require the support of knowledge correlating. Therefore, a novel support platform is developed through a seamless integration of multiple support systems and knowledge correlating to solve the following issues. • Seamless Integration using a three-layered architecture – Support of Sharing to reduce the gap of information. – Support of Interconnection to reduce the gap of communication. – Support of Visualization to reduce the gap of representation. • Knowledge Correlating using the terms-frequency and chained links-ratio (TFCLR) measure – Support of Correlation measure to reduce gap of knowledge. Comparing with other support systems, the seamless integration in this platform has better functionality in sharing, interconnection, and visualization. And comparing with other collaboration measure, the TFCLR measure achieves better performance in information coverage and usability, and also has tolerable performance in speed and feasibility.