Building a SOA-Based Model for Purchase Order Management in E-Commerce Systems

Purchase Order Management (POM) is one of the most popular E-Commerce applications conducted between B2C and B2B systems. In many cases nowadays POM components use integration approaches that lack interoperability and manageability features. The purpose of this paper is to build a SOA based model for POM in E-Commerce system that achieves the goals of interoperability and manageability. In this paper a technical model of POM E-Commerce system is presented and analyzed. A new POM model based on SOA solution is proposed that overcomes the shortcoming of currently used model. The main contribution of this paper is to align a SOA-based model to the B2C and B2B E-Commerce domain

Building and Evaluating a SOA-Based Model for Purchase Order Management in E-Commerce System

E-Commerce systems are characterized by complex Web applications that use different operating systems and different technologies. One of the most popular E-Commerce applications is conducted between businesses (B2B) and between a business and a consumer (B2C) is Purchase Order Management. It consists of components such as Sales, Shipping and Billing. In many cases nowadays Purchase Order Management components use integration approaches that lack interoperability and manageability resulting in customer dissatisfaction, time consumption and excessive costs. In this research, we build a model to overcome shortcomings of current Purchase Order Management system. The model is based on the Service Oriented Architecture (SOA) principles, Enterprise Service Bus (ESB), and Web services. They offer many advantages and help achieve the goals of interoperability and manageability. The proposed model is evaluated by using a scenario based software architecture method and proves that it achieves the quality attributes set as goals for the model which are interoperability and manageability. A case study of the model is implemented as a prove-of-concept. A specific usage scenario for the model is discussed and further proves that the model accomplishes its functionality and quality attributes

SPEIR: Scottish Portals for Education, Information and Research. Final Project Report: Elements and Future Development Requirements of a Common Information Environment for Scotland

The SPEIR (Scottish Portals for Education, Information and Research) project was funded by the Scottish Library and Information Council (SLIC). It ran from February 2003 to September 2004, slightly longer than the 18 months originally scheduled and was managed by the Centre for Digital Library Research (CDLR). With SLIC's agreement, community stakeholders were represented in the project by the Confederation of Scottish Mini-Cooperatives (CoSMiC), an organisation whose members include SLIC, the National Library of Scotland (NLS), the Scottish Further Education Unit (SFEU), the Scottish Confederation of University and Research Libraries (SCURL), regional cooperatives such as the Ayrshire Libraries Forum (ALF)1, and representatives from the Museums and Archives communities in Scotland. Aims; A Common Information Environment For Scotland The aims of the project were to: o Conduct basic research into the distributed information infrastructure requirements of the Scottish Cultural Portal pilot and the public library CAIRNS integration proposal; o Develop associated pilot facilities by enhancing existing facilities or developing new ones; o Ensure that both infrastructure proposals and pilot facilities were sufficiently generic to be utilised in support of other portals developed by the Scottish information community; o Ensure the interoperability of infrastructural elements beyond Scotland through adherence to established or developing national and international standards. Since the Scottish information landscape is taken by CoSMiC members to encompass relevant activities in Archives, Libraries, Museums, and related domains, the project was, in essence, concerned with identifying, researching, and developing the elements of an internationally interoperable common information environment for Scotland, and of determining the best path for future progress

Data Spaces

This open access book aims to educate data space designers to understand what is required to create a successful data space. It explores cutting-edge theory, technologies, methodologies, and best practices for data spaces for both industrial and personal data and provides the reader with a basis for understanding the design, deployment, and future directions of data spaces. The book captures the early lessons and experience in creating data spaces. It arranges these contributions into three parts covering design, deployment, and future directions respectively. The first part explores the design space of data spaces. The single chapters detail the organisational design for data spaces, data platforms, data governance federated learning, personal data sharing, data marketplaces, and hybrid artificial intelligence for data spaces. The second part describes the use of data spaces within real-world deployments. Its chapters are co-authored with industry experts and include case studies of data spaces in sectors including industry 4.0, food safety, FinTech, health care, and energy. The third and final part details future directions for data spaces, including challenges and opportunities for common European data spaces and privacy-preserving techniques for trustworthy data sharing. The book is of interest to two primary audiences: first, researchers interested in data management and data sharing, and second, practitioners and industry experts engaged in data-driven systems where the sharing and exchange of data within an ecosystem are critical

Data Spaces

This open access book aims to educate data space designers to understand what is required to create a successful data space. It explores cutting-edge theory, technologies, methodologies, and best practices for data spaces for both industrial and personal data and provides the reader with a basis for understanding the design, deployment, and future directions of data spaces. The book captures the early lessons and experience in creating data spaces. It arranges these contributions into three parts covering design, deployment, and future directions respectively. The first part explores the design space of data spaces. The single chapters detail the organisational design for data spaces, data platforms, data governance federated learning, personal data sharing, data marketplaces, and hybrid artificial intelligence for data spaces. The second part describes the use of data spaces within real-world deployments. Its chapters are co-authored with industry experts and include case studies of data spaces in sectors including industry 4.0, food safety, FinTech, health care, and energy. The third and final part details future directions for data spaces, including challenges and opportunities for common European data spaces and privacy-preserving techniques for trustworthy data sharing. The book is of interest to two primary audiences: first, researchers interested in data management and data sharing, and second, practitioners and industry experts engaged in data-driven systems where the sharing and exchange of data within an ecosystem are critical