On Using Semantically-Aware Rules for Efficient Online Communication

Abstract

The ever growing number of communication channels not only enables a broader outreach for organizations, but also makes it more difficult for them to manage a very large number of channels and adapted content efficiently. Thus, finding the right channels to dissemi nate some content and adapting this content to specific channel require ments are real challenges for sharing information both efficiently and effectively. In this work, we present a rule-based system that addresses these challenges by decoupling the information to be shared from the actual channels where it is published. We propose semantic models to characterize and integrate various information sources and channels. A set of independent rules then interrelates these models, specifying the concrete publication workflow and content adaptation required. Further more, we evaluate our rule-based system using two different use cases, discussing the added value that the defined rules provide to this sce nario and how they contribute to overcoming the identified challenges effectively.