Proceedings Volume 2010 (format .pdf) - SimpBTH

The Agri-Food KMP will be extended, at significantly decreased costs, toorganizations with similar profiles (R&D, education institutions), through roll-outmechanisms, considering that the activities and the processes are relatively similar,which leads to a diminishing of the analysis and modeling phases.The optimization of the web page relevance on the Internet search engines, usingSEO (Search Engine Optimization) techniques, will bring about increased visibilitynotoriety of the platform and of its results.This research knowledge management system may be successfully implementedafterwards, in various economic domains and sectors: education (similar to thevirtual libraries of the great educational centers in Europe and not only –see theOLIS system of Oxford University); health system, economy, etc.Dom ainAuthorSourceDocum ent typeInitial evoluationEvaluation Upload W orkflowDom ain Area Co-ordinatorSim pleEmailFig. 2. Using the ResultsAdvancedThe Agri-Food KMP mayContextualData m ininggenerate the perspective ofSearch Evaluation W orkflow Email partnerships at European level inUsersview of joint participation to thespecific European researchKnowledge M anagement Systemprogrammes. The system willhave two major categories of users (Pic. 2 – Using the Results):1. Domain Responsibles – the only users having system loading authorizations.These will be personalities with authority in their field of expertise, who willhave the mission of evaluating the documents to be loaded in the virtuallibrary. They will establish the document attributes (domain, specialty, author,source, document type – handbook, scientific paper, work, etc.), will give thedocument an initial mark (between 1 and 10) and will load the document (orwill give such orders to an administrator). They will be able to send documentson workflows or to send information to various users who subscribed to therespective domain.2. Users – the beneficiaries of the system. They will access complexdocuments search facilities (simple, multi-criteria, contextual searches), will beable to rank the visualized documents – preferable only in their domain of expertise(otherwise, together with the initial mark, the documents will accumulate during325