Creating Content and Use Cases for Testing Semantic Correlation Rules in Content Delivery

Information retrieval (IR) systems like content delivery portals (CDP) help users to complete processes like searching tasks. However, these systems are facing difficulties like a lack of context or an abundance of content within the required information. An approach to solve this problem is the creation of microDocs with semantic correlation rules (SCR). The objective of this paper is to examine the realization of SCR in CDP according to use cases by focusing on the impact SCR have on the effectiveness of CDP for IR. SCR can be implemented in various creation systems. Furthermore, the paper focuses on the exemplary development of SCR in a component content management system (CCMS). Therefore, a system-based evaluation was conducted. In addition a test collection, following an ontology and a corresponding metadata architecture was created to evaluate the impact of SCR on CDP. The evaluation includes three systems, representing the different types of CDP. It uses methodology precision and recall, as well-fitting methods for the intended purpose. To conclude and finalize, testing results will be summed up, interpreted and the findings will be provided with an outlook.