Abstract
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.
Highlights
In recent years, content delivery has become an important aspect for companies and businesses
content delivery portals (CDP) are a common type of Information retrieval (IR) systems in technical communication (TC) and enable delivery-based content based on intelligent information
Concerning the regular creation of context reduced to relevant content, semantic correlation rules (SCR) can decrease a large administrative effort in TC
Summary
Content delivery has become an important aspect for companies and businesses. In order to create technical requirements, it is important to establish logic rule-based networks. This ensures the provision of appropriate knowledge context for each individually selected module. The technical realization of microDocs is achieved by the definition and implementation of SCR. These rules enhance content delivery concepts to create even more intelligent content [1]. The different types of systems and various levels of integration offer the opportunity to analyze the impact of SCR on the functionality of a CDP [3]. The semantic relations are managed within the system After implementation, this system is evaluated and compared with two other CDP
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