Enabling IoT ecosystems through platform interoperability

Today, the Internet of Things (IoT) comprises vertically oriented platforms for things. Developers who want to use them need to negotiate access individually and adapt to the platform-specific API and information models. Having to perform these actions for each platform often outweighs the possible gains from adapting applications to multiple platforms. This fragmentation of the IoT and the missing interoperability result in high entry barriers for developers and prevent the emergence of broadly accepted IoT ecosystems. The BIG IoT (Bridging the Interoperability Gap of the IoT) project aims to ignite an IoT ecosystem as part of the European Platforms Initiative. As part of the project, researchers have devised an IoT ecosystem architecture. It employs five interoperability patterns that enable cross-platform interoperability and can help establish successful IoT ecosystems.Peer ReviewedPostprint (author's final draft

From e-learning to integrated learning architectures. A novel approach to learning management in corporate and higher education contexts

E-learning has taken an important role in the work of human resources departments, thus increasing both the importance of, and the demands placed upon, learning management processes and technologies. High-performance learning platforms enable a wide range of functionalities and process choice. In addition, they need interfaces for integration into other corporate IT systems. And finally, corporate learning solutions also need to reach all relevant partners who might participate in learning and information exchange processes. Providing examples from the architecture of the leading European learning management system CLIX�, the article outlines the conceptual, technical, process-related and organizational framework for a successful implementation of viable and sustainable learning solutions in companies, higher education and public organizations.corporate learning, E-learning, learning management, management education, performance management.

Patterns for service-oriented information exchange requirements

Service-Oriented Computing (SOC) is an emerging computing paradigm that supports loosely-coupled inter-enterprise interactions. SOC interactions are predominantly specified in a procedural manner that defines message sequences intermixing implementation with business requirements. In this paper we present a set of patterns concerning requirements of information exchange between participants engaging in service-oriented interactions. The patterns aim at explicating and elaborating the business requirements driving the interaction and separating them from implementation concerns

Service-oriented computing: concepts, characteristics and directions

Service-Oriented Computing (SOC) is the computing paradigm that utilizes services as fundamental elements for developing applications/solutions. To build the service model, SOC relies on the Service Oriented Architecture (SOA), which is a way of reorganizing software applications and infrastructure into a set of interacting services. However, the basic SOA does not address overarching concerns such as management, service orchestration, service transaction management and coordination, security, and other concerns that apply to all components in a services architecture. In this paper we introduce an Extended Service Oriented Architecture that provides separate tiers for composing and coordinating services and for managing services in an open marketplace by employing grid services.

Web service for knowledge management in e-marketplaces

A common strategic initiative of organizations engaged in electronic business (e-business) is the development of synergistic relations with collaborating value-chain partners to deliver their value proposition to customers. This requires the transparent flow of problem specific knowledge to partner organizations over highly integrated information systems. Transparent exchange of information and knowledge across collaborating organizations requires technological foundations for integrating business processes using software architectures built upon industry standards. The unambiguously interpretable flow of knowledge to inform online business processes is a challenging task with significant competitive benefits for organizations that take technical initiative. Infomediary organizations can serve the e-business need for exchange of knowledge and information through value-added knowledge services to participating firms in the value chain through intelligent software systems integrated with the Web Services Architecture. We define knowledge services as the "exchange of problem domain-specific knowledge to inform decision activities of specific e-business processes, facilitated by an infomediary using intelligent software systems and the Web Services Architecture." This research presents a knowledge services framework, founded on the Web Services Architecture, to enable the transparent exchange of knowledge between intelligent software systems that manage processes of organizations engaged in e-business in the knowledge-based economy. The objective is to enable informed and knowledge-based discovery of business partners from among the multitude online, and to support knowledge-rich e-business processes that cut across the value chain and deliver the value proposition to the customer

From e-trash to e-treasure: how value can be created by the new e-business models for reverse logistics

Reverse logistics, that is, all operations related to the reuse of used products, excess inventory and packaging materials, gain increasing attention globally both for their promising financial potentials, the sustainable growth alternative they offer and the environmental positive impact they have. In this paper, we introduce reverse logistics and we explain how the adoption of e-commerce provides new possibilities to existing business models and what are the new e-business models in reverse logistics that have emerged. We compare these three new e-business models, namely, returns aggregators, specialty locators and integrated solution providers on a number of aspects and identify keys for their competitive advantage. Finally, we discuss conceptual and actual opportunities for these e-business models to thrive and advance and present some e-commerce tools that are being developed with the aim to address the distributed, dynamic and knowledge-intensive aspects of applications that contribute to the advancement of e-businesses in the field of reverse logistics.e-commerce;Reverse logistics;e-business models

Identifying the Quality of E-Commerce Reference Models

The development of information and communication systems, in particular e-commerce systems, is a complex and time intensive task. The development process can be simplified by using reference models. Many reference models for the electronic commerce, such as the model for electronic markets by SCHMID & LINDEMANN (1997) and the OBJECT MANAGEMENT GROUP reference model are known. However, they tend to concentrate on specific aspects of the problem and give insufficient attention to all aspects of good model quality. A number of requirements are important in constructing a reference model as the quality of the construction invariably impacts the quality of the construction invariably impacts the quality of the final model. To determine the quality of a reference model and its construction process an analysis scheme was designed and tested in a case study with a German standardization institution. The practical application of the analysis scheme reveals deficiencies and strengths in some reference modelling processes. Copyright 2004 ACM