Using DynaRules to Integrate Context Information in Semantic Correlation Rules for Intelligent Content Delivery

Abstract

In the past, information deliveries in technical communication were often considered as a normative duty, but has now grown into a knowledge-bearing and knowledge-transmitting medium by more modern approaches of dynamic content delivery. As described in a previous publication [1] implementing and working with semantic correlation rules and knowledge graphs enhances, for example, the contextual understanding of information and the technology of content delivery. The use of various established media technologies, which are explained in detail in this paper, prevents risks such as unclear information management and a lack of transparency. Companies must ensure that necessary information is provided in a simple and targeted manner where it is needed. Therefore, using an efficient system which provides detailed information about products, processes or services, a company is able to create, manage and deliver a high amount of information in a professional way. In an era where efficiency, innovation and speed set the tone, technologies have been developed on the market for creating and delivering content. In this paper we will moreover describe the possible interplay of recent IT architectures, non-linear DynaRules of semantic models and AI extensions to enable metadata-linked content effectively with reduced fuzziness according to the regarded context of intelligent content delivery and information services.