Special Issue: E-Service Intelligence
Service Science is an emergent interdisciplinary field aiming at the study of complex systems comprising humans, organizations and technologies engaged in value-added interactive processes. Electronic services, also known as e-services, involve provision of services using digital technologies. Several application areas of eservices have emerged during the last decade: e-business, e-commerce, e-government, e-science, e-learning, and ehealth. The next paradigm shift in the digital era proposes
... application of state-of-the-art intelligent digital technologies for increasing the various qualities of e-services, like adaptation, personalization, trust, and decision support. The articles of this special issue address a highly relevant group of topics for the advancement of the field of e-service intelligence: (i) trust, reputation, and expertise modeling in e-services; (ii) intelligence in elearning; and (iii) Earth observation and collaborative information processing e-services. The following three papers show how explicit modeling and evaluation of trust, reputation, and expertise can increase credibility of e-services. E-services for provisioning of human recommendations are usually based on social network environments. The article "Context-based Global Expertise in Recommendation Systems" by Vincenza Carchiolo, Alessandro Longheu, Michele Malgeri, and Giuseppe Mangioni introduces a model and method for context-based assessment of people expertise in a social network. Their model is experimentally evaluated and validated on the Epinions 1 data set. The blogosphere is a rich and interactive virtual community environment maintained by bloggers that allows tracking of interconnected comments, events, and opinions. The article "BREM: A Distributed Blogger Reputation Evaluation Model Based on Opinion Analysis" by Yu Weng, Changjun Hu, and Xuechun Zhang proposes a new model for blogger reputation evaluation in distributed environments by mining the opinion relations between bloggers. Intelligence of e-services can be enhanced by employing rule-based reasoning processes wrapped as software agents. The article "Trusted Reasoning Services for Semantic Web Agents" by Kalliopi Kravari, Efstratios Kontopoulos, and Nick Bassiliades presents the EMERALD multi-agent framework that integrates various trusted reasoning services via software agents' interoperability. The next two papers address the use of intelligent software technologies for enhancing e-learning services.