Sheldon Liang

By Sheldon Liang, Melanie Van Stry and Hong Liu

It is feasible to simplify interface design for better user experience without web developing skillfully. CARE or collaborative archive repository express holds the answer to universal interface & experience (UnIX) through algorithmic machine learning. CARE in collaboration with DATA and wiseCIO as a whole establishes a CMD triad for content management and delivery that harnesses rapid prototyping for user interface and propels user-centric experience by cohesive assembly of Anything as a Service (XaaS). Basically, user-centric experience makes a user centered without often webpage swapping while browsing in hierarchical depth via “In-&-Out” interactivity, and exploring in contextual breadth via self-paced spontaneity. Furthermore, CARE incorporates express tokens for information interchange (eTokin) into the CMD triad to prepare integral content management and informative delivery. In particular, by exploiting eTokin, CARE promotes seamless intercommunications in-between and empowers users to be UNIX professionals cohesively, such as ubiquitous manager on content management and delivery, novel designer on universal interface, intelligent expert for business intelligence, and extraordinary liaison with XaaS without explicitly coding. More CARE uses algorithmic machine learning to coordinate instant online publishing, assemble efficient presentations via wiseCIO to end-users, and aggregate diligent intelligence over DATA for business, education and entertainment (iBEE) through robotic process automation.

Part of the book: E-Service Digital Innovation

By Sheldon Liang and Paul Anthony Miller

Digital library service is in need of innovation to meet the demands of the modern user and effectively sort through increasingly growing web and cloud content. One such innovation introduces the idea of the magic lamp that can be embodied through three comprehensive views: conceptual foundation, technical roadmap, and operational fulfillment to better serve the user. The Magic Lamp represents a pioneering invention that is both a multidimensional and “smart” approach to discovering, grouping, assimilating, organizing, and delivering archival content while eliminating unnecessary and antiquated sequential search patterns that consume or overwhelm both the user and computer. Central to the concept of the Magic Lamp as a visible icon is the underlying and automated process of the Magic GIFT throughout Grouping, Indexing, Folding and Targeting. The magic of GIFT enacts domain-specific search (like “google-it”) as grouped, contextualizes multidimensional & multilinguals (as indexed) for diverse and global readers, and dedicates the user to multi-folded content, and propels decent experience and deep exploration on target. As a result, this may be seen in overlying three views that helps streamline large amounts of information in user-friendly ways which are readily available at one’s fingertips.

Part of the book: Aspects of Digital Libraries