Automation of the Work intensively based on Knowledge, a Challenge for the New Technologies

Knowledge Management or knowledge-based management (noted and used throughout this paper as KM) is defined as a collaborative practice, by which organizations deliberately and intelligibly create, organize, distribute and analyze their own knowledge, in terms of resources, documents and people’s skills. It is widely regarded as an internal tool for increasing the operational efficiency of any organization, and has the potential to revolutionize the intelligent interaction between humans and agents (intelligent), based on more and more advanced technology. Semantic Technologies (STs) are distributed software technologies that make that meaning more explicit, principally so that it can be understood by computers. STs will dramatically impact enterprise architecture and the engineering of new system and infrastructure capabilities. They are tools that represent meanings, associations, theories, and know-how about the uses of things separately from data and knowledge, using reasoning algorithms. Time restrictions are not excessive in usual STs as distributed applications. Critical time reasoning problems may occur in case of faulty operations and overloading. At present, the reasoning depth developed for such system is still poor. This work represents research results for incorporating and considering appropriate semantic foundations in future technologies that can automate knowledge based work.