Cognitive computing meets the internet of things

Abstract: This paper discusses the blend of cognitive computing with the Internet-of-Things that should result into developing cognitive things. Today’s things are confined into a data-supplier role, which deprives them from being the technology of choice for smart applications development. Cognitive computing is about reasoning, learning, explaining, acting, etc. In this paper, cognitive things’ features include functional and non-functional restrictions along with a 3 stage operation cycle that takes into account these restrictions during reasoning, adaptation, and learning. Some implementation details about cognitive things are included in this paper based on a water pipe case-study

Proactive SLA negotiation for service based systems: Initial implementation and evaluation experience

This paper describes a framework that we have developed to integrate proactive SLA negotiation with dynamic service discovery to provide cohesive runtime support for both these activities. The proactive negotiation of SLAs as part of service discovery is necessary for reducing the extent of interruptions during the operation of a service based system when the need for replacing services in it arises. The developed framework discovers alternative candidate constituent services for a service client application, and negotiates/agrees but does not activate SLAs with these services until the need for using a service becomes necessary. A prototype tool has been implemented to realize the framework. This prototype is discussed in the paper along with the results of the initial evaluation of the framework

Human-Centric Process-Aware Information Systems (HC-PAIS)

Process-Aware Information Systems (PAIS) support organizations in managing and automating their processes. A full automation of processes is in particular industries, such as service-oriented markets, not practicable. The integration of humans in PAIS is necessary to manage and perform processes that require human capabilities, judgments and decisions. A challenge of interdisciplinary PAIS research is to provide concepts and solutions that support human integration in PAIS and human orientation of PAIS in a way that provably increase the PAIS users' satisfaction and motivation with working with the Human-Centric Process Aware Information System (HC-PAIS) and consequently influence users' performance of tasks. This work is an initial step of research that aims at providing a definition of Human-Centric Process Aware Information Systems (HC-PAIS) and future research challenges of HC-PAIS. Results of focus group research are presented.Comment: 8 page

Changes in social security legislation: impact on SME behaviour

In deze studie is gekeken naar de samenhang in gedragsverandering bij werkgevers in het MKB en de aanpassing van de wetgeving m.b.t. de arbeidsongeschiktheid van werknemers. Uit het onderzoek komt naar voren dat er, door de financiële prikkels die zijn voortgekomen uit de nieuwe wetgeving, drie soorten werkgevers zijn ontstaan: 1. de preventieve werkgevers, 2. de curatieve werkgevers en 3. de defensieve werkgevers. Verder wordt bekeken welke veranderingen in de sociale wetgeving hebben plaatsgevonden.

Rule-based cloud service localisation

The fundamental purpose of cloud computing is the ability to quickly provide software and hardware resources to global users. The main aim of cloud service localisation is to provide a method for facilitating the internationalisation and localisation of cloud services by allowing them to be adapted to different locales. We address lingual localisation by providing a service translation using the latest web-services technology to adapt services to different languages and currency conversion by using realtime data provided by the European Central Bank. Units and Regulatory Localisations are performed by a conversion mapping, which we have generated for a subset of locales. The aim is to provide a standardised view on the localisation of services by using runtime and middleware services to deploy a localisation implementation

Model for democratisation of the contents hosted in MOOCs

Massive Online Open Courses (MOOCs) have emerged as a new educational tool in higher education, based on gratuity, massiveness and ubiquity. Essentially they suggest an evolution of the Open Learning Movement based on principles of reusing, revising, remixing and redistributing open educational resources (OER). However, in contrast with the content of OERs, content hosed in MOOCs tends to be paywalled and copyrighted, which restricts its reuse. Philosophically, the main problem with MOOCs is the inaccessibility and inadaptability of their resources, challenging democratic open access to knowledge. A number of authors and organisations consider it an ultimate necessity to open up MOOC resources. Therefore in this paper three strategies to open up MOOC contents are proposed: to deposit the materials in repositories of OER (ROER) as individual objects, to archive them in ROER in data packages as learning units or to convert them into OpenCourseWare (OCW) as self-taught courses

Supporting adaptiveness of cyber-physical processes through action-based formalisms

Cyber Physical Processes (CPPs) refer to a new generation of business processes enacted in many application environments (e.g., emergency management, smart manufacturing, etc.), in which the presence of Internet-of-Things devices and embedded ICT systems (e.g., smartphones, sensors, actuators) strongly influences the coordination of the real-world entities (e.g., humans, robots, etc.) inhabitating such environments. A Process Management System (PMS) employed for executing CPPs is required to automatically adapt its running processes to anomalous situations and exogenous events by minimising any human intervention. In this paper, we tackle this issue by introducing an approach and an adaptive Cognitive PMS, called SmartPM, which combines process execution monitoring, unanticipated exception detection and automated resolution strategies leveraging on three well-established action-based formalisms developed for reasoning about actions in Artificial Intelligence (AI), including the situation calculus, IndiGolog and automated planning. Interestingly, the use of SmartPM does not require any expertise of the internal working of the AI tools involved in the system