Innovation And Ontologies

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 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 describes the state-of-the-art in ontology-driven information systems (ODIS) and gives a complete perspective on the problems, solutions and open research questions in this field. The book covers four broad areas: foundations of ODIS, ontological engineering, ODIS architectures, and ODIS applications. It will trigger innovative thought processes and open up significant new domains in ODIS research.

Learn how to develop and employ an ontology, the secret weapon for successfully using artificial intelligence to create a powerful competitive advantage in your business. The AI-Powered Enterprise examines two fundamental questions: First, how will the future be different as a result of artificial intelligence? And second, what must companies do to stake their claim on that future? When the Web came along in the mid-90s, it transformed the behavior of customers and remade whole industries. Now, as part of its promise to bring revolutionary change in untold ways to human activity, artificial intelligence—AI—is about to create another complete transformation in how companies create and deliver value to customers. But despite the billions spent so far on bots and other tools, AI continues to stumble. Why can't it magically use all the data organizations generate to make them run faster and better? Because something is missing. AI works only when it understands the soul of the business. An ontology is a holistic digital model of every piece of information that matters to the business, from processes to products to people, and it's what makes the difference between the promise of AI and delivering on that promise. Business leaders who want to catch the AI wave—rather than be crushed by it—need to read The AI-Powered Enterprise. The book is the first to combine a sophisticated explanation of how AI works with a practical approach to applying AI to the problems of business, from customer experience to business operations to product development.

Christoph Riedl elaborates conceptual solutions and tool support for networked environments. The author draws on the fields of new service development and open innovation, in particular building on online communities. Based on the design science paradigm, the author offers guidelines how tool support for online innovation communities can be developed.

"This book provides an analysis and introduction on the concept of combining the areas of semantic web and web mining, emphasizing semantics in technologies, reasoning, content searching and social media"--Provided by publisher.

This book constitures selected and revised papers presented at the First International Workshop on Measuring Ontologies for Value Enhancement, MOVE 2020, held as Virtual Event in October 2020. The 7 extended and revised papers presented were thoroughly reviewed and selected from the 13 submissions. Along with them, the volume presents 5 invited papers. The volume articles are arranged in the topical sections on complexity of knowledge-intensive endeavors; ontology modeling; enterprise ontologies; knowledge discovery and innovations.