Angelika C. Bullinger elaborates, applies and tests a methodology for ontology development for use in business management. She models ontologically the moment of idea assessment and selection on a company-specific, industry-typical and generic level and presents action-oriented implications for implementation of the methodology in business reality.

This work presents an ontological approach, representing the main entities and their interrelationships building the concept of innovation networks. In this sense, an ontological approach constitutes an "explicit specification of a conceptualization" based on what exists in a specific domain. Aligned with the recommendations of scholars studying the epistemology of ontologies the following sub-questions have been addressed: (1) how until now innovation networks have been approached by the academic community; (2) which elements are explaining innovation networks; (3) how the elements innovation networks are interrelated and; (4) which additional elements should be included to further advance the understanding of innovation networks. As a result of this research, it is proposed to leverage on the process of absorptive capacity to manage the performance of innovation networks. Finally, innovation networks established between 2007 and 2014 in Germany are analyzed and recommendations for policy makers and managers are discussed.

This book will address the discussion on online distance education, teacher education, and how the mathematics is transformed with the Internet, based on examples that illustrate the possibilities of different course models and on the theoretical construct humans-with-media.

"This book offers suggestions, solutions, and recommendations for new and emerging research in Semantic Web technology, focusing broadly on methods and techniques for making the Web more useful and meaningful"--Provided by publisher.

This book covers two applications of ontologies in software engineering and software technology: sharing knowledge of the problem domain and using a common terminology among all stakeholders; and filtering the knowledge when defining models and metamodels. By presenting the advanced use of ontologies in software research and software projects, this book is of benefit to software engineering researchers in both academia and industry.

In a century of complexity, organizations are moving towards open innovation. So, contemporary Innovation Management Systems have to deal with the distributed, heterogeneous and fast growing characteristics of knowledge that are available in different forms and are rather weakly structured. In addition, the increasing degree of specialization and interdependence between and among organizations calls for group capabilities at the organizational level to interoperate with others to produce not only novel, but also critically acclaimed innovations. This is the focus of this paper that introduces the new concept of “Innovation Interoperability”. Then, it formalizes and represents semantically the key concepts underlying a systematic innovation approach and the relations between them, through a Generic Modular Ontology, we have called “GenID Ontology”. The latter consists of three interconnected sub-ontologies, referring to the key dimensions of successful innovation within an open context, which are: Core-ideas, Actors and Context. This paper has adopted a mixed research strategy and uses a qualitative online survey to examine the delivered constructs.