Innovation in Manufacturing Networks A fundamental concept of the emergent business, scientific and technological paradigms ces area, innovation the ability to apply new ideas to products, processes, organizational practices and business models - is crucial for the future competitiveness of organizations in a continually increasingly globalised, knowledge-intensive marketplace. Responsiveness, agility as well as the high performance of manufacturing systems is responsible for the recent changes in addition to the call for new approaches to achieve cost-effective responsiveness at all the levels of an enterprise. Moreover, creating appropriate frameworks for exploring the most effective synergies between human potential and automated systems represents an enormous challenge in terms of processes characterization, modelling, and the development of adequate support tools. The implementation and use of Automation Systems requires an ever increasing knowledge of enabling technologies and Business Practices. Moreover, the digital and networked world will surely trigger new business practices. In this context and in order to achieve the desired effective and efficiency performance levels, it is crucial to maintain a balance between both the technical aspects and the human and social aspects when developing and applying new innovations and innovative enabling technologies. BASYS conferences have been developed and organized so as to promote the development of balanced automation systems in an attempt to address the majority of the current open issues.

Collaborative Networks A Tool for Promoting Co-creation and Innovation The collaborative networks paradigm offers powerful socio-organizational mec- nisms, supported by advanced information and communication technologies for p- moting innovation. This, in turn, leads to new products and services, growth of better customer relationships, establishing better project and process management, and building higher-performing consortia. By putting diverse entities that bring different perspectives, competencies, practices, and cultures, to work together, collaborative networks develop the right environment for the emergence of new ideas and more efficient, yet practical, solutions. This aspect is particularly important for small and medium enterprises which typically lack critical mass and can greatly benefit from participation in co-innovation networks. However, larger organizations also benefit from the challenges and the diversity found in collaborative ecosystems. In terms of research, in addition to the trend identified in previous years toward a sounder consolidation of the theoretical foundation in this discipline, there is now a direction of developments more focused on modeling and reasoning about new c- laboration patterns and their contribution to value creation. “Soft issues,” including social capital, cultural aspects, ethics and value systems, trust, emotions, behavior, etc. continue to deserve particular attention in terms of modeling and reasoning. Exploi- tion of new application domains such as health care, education, and active aging for retired professionals also help identify new research challenges, both in terms of m- eling and ICT support development.

This book constitutes the post-proceedings of the International Workshop on Ontology, Conceptualization and Epistemology for Information Systems, Software Engineering and Service Sciences (ONTOSE 2010) , held at the CAiSE 2010 conference in Hammamet, Tunisia, June, 2010. The 10 papers presented in this volume were carefully revised and selected from 25 submissions. They are grouped in sections on enterprise and service architectures, ontology applications, ontology visualization and query expansion, and ontologies for services.

This research volume is a continuation of our previous volumes on intelligent machine. It is divided into three parts. Part I deals with big data and ontologies. It includes examples related to the text mining, rule mining and ontology. Part II is on knowledge-based systems. It includes context-centered systems, knowledge discovery, interoperability, consistency and systems of systems. The final part is on applications. The applications involve prediction, decision optimization and assessment. This book is directed to the researchers who wish to explore the field of knowledge engineering further.

This book seeks to establish the meaning of design research, its role in the field, and the characteristics that differentiate research in design from research in other fields. The author introduces a model to explain the relationship between the components of the ontological reality of design: the designed object, the designer, and the user. Addressing design research across disciplines, the author establishes a foundational understanding of research, and research paradigms, for the design disciplines. This will be crucial for the emerging field of design research to find its own identity and move forward, building its own knowledge base as it finds its positioning between science and art. The book will be of interest to scholars working in design history, design studies, graphic design, industrial design, interior design, architecture, fashion design, and service design.