Edy Portmann Book order

Focusing on the intersection of the Social Web and Semantic Web, this book explores online reputation management through the lens of fuzzy natural language processing. It highlights how the imprecise nature of human communication can be leveraged to track and influence online reputations semi-automatically. By utilizing fuzzy grassroots ontologies, the author presents a framework that enhances the management of online reputations, making it accessible for those interested in computer science, information systems, and social sciences.

Online reputation management deals with monitoring and influencing the online record of a person, an organization or a product. The Social Web offers increasingly simple ways to publish and disseminate personal or opinionated information, which can rapidly have a disastrous influence on the online reputation of some of the entities. The author focuses on the Social Web and possibilities of its integration with the Semantic Web as resource for a semi-automated tracking of online reputations using imprecise natural language terms. The inherent structure of natural language supports humans not only in communication but also in the perception of the world. Thereby fuzziness is a promising tool for transforming those human perceptions into computer artifacts. Through fuzzy grassroots ontologies, the Social Semantic Web becomes more naturally and thus can streamline online reputation management. For readers interested in the cross-over field of computer science, information systems, and social sciences, this book is an ideal source for becoming acquainted with the evolving field of fuzzy online reputation management in the Social Semantic Web area. ​