Domain Ontologies For Reasoning Machines In Factory Automation

The formal representation of knowledge for autonomous processing has emerged as a main topic in achieving autonomy of reconfiguration processes. This book targets the topic of knowledge representation and reasoning machines and introduces the concept of domain ontologies. Domain ontologies are the formal representation of knowledge about manufacturing systems, industrial equipment, industrial processes, and products to be manufactured.

"This book is a collection of research on the strategies used in the design and development of distributed systems applications"--Provided by publisher.

Explore the fascinating field of Artificial Intelligence and its profound impact on the industry in this insightful book. With a focus on the positive potentials of AI, the author navigates through the subtleties of this transformative technology. This book aims to empower readers to engage in informed discussions about AI and contribute to business decisions involving its application. The author's collaboration with ChatGPT, a generative AI tool currently gaining a lot of attention, resulted in a well-structured and comprehensive exploration of AI & The Industry. Being a proof of concept of effective human-AI collaboration itself, the book provides a comprehensive AI overview, both readable and informative. Stripped of technical jargon, algorithms, and intricate mathematical formulae, the narrative unfolds in pure English language, making it accessible to a broad audience. This book is an ideal starting point for readers who want to comprehend the versatility of Artificial Intelligence itself as well as its applications in industry. Join the exploration, gain insights, and make AI a joyful part of your reading adventure.

Artificial Intelligence (AI) technologies enable manufacturing systems to sense the environment, adapt to external needs, and extract process knowledge, including business models such as intelligent production, networked collaboration, and extended service models. This book therefore focuses on the implementation of AI in customized manufacturing (CM). The main topics include edge intelligence in manufacturing, heterogeneous networks, intelligent fault diagnosis and maintenance, dynamic resource scheduling in manufacturing, and the construction mode of the smart factory. Based on the insights of CM and AI, the authors demonstrate the implementation of AI in the smart factory for CM, including architecture, information fusion, data analysis, dynamic scheduling, flexible production line construction, and smart manufacturing services. This book will provide important research content for scholars in artificial intelligence, smart manufacturing, machine learning, multi-agent systems, and industrial Internet of Things.

This double volumes LNCS 11229-11230 constitutes the refereed proceedings of the Confederated International Conferences: Cooperative Information Systems, CoopIS 2018, Ontologies, Databases, and Applications of Semantics, ODBASE 2018, and Cloud and Trusted Computing, C&TC, held as part of OTM 2018 in October 2018 in Valletta, Malta. The 64 full papers presented together with 22 short papers were carefully reviewed and selected from 173 submissions. The OTM program every year covers data and Web semantics, distributed objects, Web services, databases, informationsystems, enterprise workflow and collaboration, ubiquity, interoperability, mobility, grid and high-performance computing.

This book reports on cutting-edge research and developments in manufacturing, giving a special emphasis to solutions fostering automation and sustainability. Topics cover manufacturing process optimization, remanufacturing, machines and mechanical design, CAD/CAM/CAE, materials characterization and processing, measurement and predictive maintenance techniques. Further topics include artificial intelligence and IoT in manufacturing, robotics, and cutting-edge issues in Industry 4.0/5.0. Based on proceedings of the 32nd edition of the International Conference on Flexible Automation and Intelligent Manufacturing, FAIM 2023, held on June 18 – 22, 2023, in Porto, Portugal, this first volume of a 2-volume set provides academics and professionals with extensive, technical information on trends and technologies in manufacturing, yet it also discusses challenges and practice-oriented experience in all the above-mentioned areas.

The volume aims at providing a comprehensive review of the diverse efforts covering the gap existing between the two main perspectives on the topic of ontologies for multi-agent systems, namely: How ontologies should be modelled and represented in order to be effectively used in agent systems, and on the other hand, what kind of capabilities should be exhibited by an agent in order to make use of ontological knowledge and to perform efficient reasoning with it. The volume collects the most significant papers of the AAMAS 2002 and AAMAS 2003 workshop on ontologies for agent systems, and the EKAW 2002 workshop on ontologies for multi-agent systems.

This volume LNCS 14396 constitutes the refereed proceedings of the 12th International Conference, MEDI 2023,in November 2023 ,held in Sousse, Tunisia. The 27 full papers were carefully peer reviewed and selected from 99 submissions. The Annual International Conference on Model and Data Engineering focuses on bring together researchers and practitioners and enabling them to showcase the latest advances in modelling and data management.