Integrating Knowledge Modelling in Business Process Management

In this paper we present a new approach for integrating Business Process Management and Knowledge Management. We focus on the modelling of weakly-structured knowledge-intensive business processes. We develop a framework for modelling this type of processes that explicitly considers knowledge-related tasks and knowledge objects and present a workflow tool that is an implementation of our theoretical meta-model. As an example, we sketch one case study, the process for granting full old age pension as it is performed in the Greek Social Security Institution. Finally we briefly describe some related approaches and compare them to our work and draw the main conclusions and further research directions

Seamless Task Offloading on Multi-Clouds and Edge Resources: an Experiment

Cloud computing has been growing at an increasing rate over the last few years. Commercial and scientific applications have come to rely on it as a development tool due to its exceptional characteristics in processing power and storage. The trend has been augmented with the emergence of the Internet of Things and smart processing devices at the edge. Contrary to the line of thought commonly adopted, we present in this work an alternative platform that considers edge devices as possible processing nodes, and provide a two-level task scheduling deployment that can handle not only binary modules, but also code-level fragmentations. We also go through a simple implementation of the platform, using production-ready solutions, while validating it on public and private clouds, and physically-separated edge devices

A Service Portfolio Model for Value Creation in Networked Enterprise Systems

Abstract. Service science research is increasingly focusing on modeling value co-creation. However, there are concerns about the practical use of service systems-driven approaches to value creation in actual business settings. In this paper, we focus on the provision of knowledge services by a service system, and present an innovative model for clustering and profiling the value cocreation capabilities of such a service system. We then describe how this model drives the development of a new service management framework for managing the development of knowledge services. Finally, we present our early experiences from a practical deployment of our research findings in the development of a service system that offers knowledge services to enterprises for enhancing their collaboration quotient when participating in virtual organizations

Supporting knowledge-intensive work in public administration processes.

Knowledge management efforts focus much on the strategic applications of knowledge-related initiatives and not so much on their implications at the level of concrete business processes. On the other hand, business process management efforts have not concentrated on leveraging knowledge. In this paper we attempt to fill that gap by developing a tool for proactive, context-sensitive delivery of knowledge. We focus on the modelling of knowledge-intensive business processes and we develop a framework for modelling this type of processes that explicitly considers knowledge-related tasks and knowledge objects. We present a tool that is an implementation of our theoretical meta-model and realises proactive, context-sensitive delivery of knowledge, integrated with the workflow enactment. As an example, we sketch one case study, the process for granting full old-age pension as it is performed in the Greek Social Security Institution, discussing the benefits derived from applying our tool. Finally, we draw the main conclusions of our work and discuss further research directions

Behavioural Change Support Intelligent Transportation Applications

This workshop invites researchers and practitioners to participate in exploring behavioral change support intelligent transportation applications. We welcome submissions that explore intelligent transportation systems (ITS), which interact with travelers in order to persuade them or nudge them towards sustainable transportation behaviors and decisions. Emerging opportunities including the use of data and information generated by ITS and users' mobile devices in order to render personalized, contextualized and timely transport behavioral change interventions are in our focus. We invite submissions and ideas from domains of ITS including, but not limited to, multi-modal journey planners, advanced traveler information systems and in-vehicle systems. The expected outcome will be a deeper understanding of the challenges and future research directions with respect to behavioral change support through ITS.Comment: Intelligent Transportation Systems Conference (ITSC) 2017 Worksho

From mobility patterns to behavioural change: leveraging travel behaviour and personality profiles to nudge for sustainable transportation

Rendering transport behaviours more sustainable is a pressing issue of our times. In this paper, we rely on the deep penetration of mobile phones in order to influence citizens’ behavior through data-driven mobility and persuasive profiles. Our proposed approach aims to nudge users on a personalized level in order to change their mobility behavior and make more sustainable choices. To achieve our goal, first we leverage pervasive mobile sensing to uncover users’ mobility patterns and use of transportation modes. Second, we construct users’ persuadability profiles by considering their personality and mobility behavior. With the use of the aforementioned information we generate personalized interventions that nudge users to adopt sustainable transportation habits. These interventions rely on persuasive technologies and are embedded in a route planning application for smartphones. A pilot study with 30 participants using the system for 6 weeks provided fairly positive evaluation results in terms of the acceptance of our approach and revealed instances of behavioural change. Document type: Articl

NEURON: Enabling Autonomicity in Wireless Sensor Networks

Future Wireless Sensor Networks (WSNs) will be ubiquitous, large-scale networks interconnected with the existing IP infrastructure. Autonomic functionalities have to be designed in order to reduce the complexity of their operation and management, and support the dissemination of knowledge within a WSN. In this paper a novel protocol for energy efficient deployment, clustering and routing in WSNs is proposed that focuses on the incorporation of autonomic functionalities in the existing approaches. The design of the protocol facilitates the design of innovative applications and services that are based on overlay topologies created through cooperation among the sensor nodes