Knowledge Engineering for Modern Information Systems: Methods, Models and Tools

Knowledge Engineering (KE) is a branch of artificial intelligence that creates knowledge-based systems by replicating the behavior and decision-making of human experts in a particular domain. These systems are designed to solve real-world problems by incorporating vast amounts of knowledge, such as metadata and information about data objects. This book provides an extensive collection of recent research and innovative approaches in the information system and KE domain, highlighting the challenges and difficulties in implementing these methods. It serves as a valuable resource for academicians, professionals, engineers, technology designers, analysts, and students interested in advanced information systems and knowledge engineering developments.

Format: Hardback
Length: 238 pages
Publication date: 31 January 2022
Publisher: De Gruyter

Knowledge Engineering (KE) is a captivating domain within artificial intelligence that focuses on the development of knowledge-based systems. It involves the imitation of human experts in specific domains, enabling computers to mimic their decision-making processes and arrive at conclusions. These systems are brimming with vast amounts of knowledge, encompassing metadata and information about data objects. This knowledge encompasses characteristics such as content, quality, format, structure, and processes, providing a comprehensive understanding of the underlying information. These systems act as the foundation for decision-making and problem-solving, employing intricate rules and reasoning mechanisms to provide practical solutions to real-world challenges.

This comprehensive book serves as a valuable resource for academicians, professionals, engineers, technology designers, analysts, undergraduate, and postgraduate students in computing science and related disciplines. It delves into the complexities and difficulties associated with implementing these approaches, making it an essential reference source. Moreover, anyone with an interest or involvement in sophisticated information systems and knowledge engineering developments will find this book to be a treasure trove of ideas and guidance.

The field of Knowledge Engineering (KE) has witnessed significant advancements in recent years, driven by the increasing demand for intelligent systems that can adapt to complex environments. One of the key challenges in KE is the representation and management of knowledge, which involves the use of ontologies, semantic web technologies, and knowledge representation languages. Ontologies provide a structured way to organize and represent knowledge, while semantic web technologies enable the integration and interoperability of different knowledge sources. Knowledge representation languages, such as Description Logic (DL), provide a formal way to express and manipulate knowledge.

Another area of focus in KE is the development of intelligent agents that can interact with humans and perform tasks in real-world environments. These agents are designed to learn from experience and adapt to changing conditions, making them capable of solving complex problems and making informed decisions. Machine learning algorithms, natural language processing techniques, and sensor technologies are used to train these agents, enabling them to understand human language, interpret sensory data, and make decisions based on their observations.

KE also plays a crucial role in the development of intelligent systems that can analyze and interpret large amounts of data. These systems are used in various domains, such as healthcare, finance, and marketing, to identify patterns, trends, and insights that can help organizations make better decisions. Big data analytics techniques, such as data mining, machine learning, and natural language processing, are used to extract valuable information from large datasets, enabling organizations to gain a competitive advantage.

In conclusion, Knowledge Engineering (KE) is a rapidly evolving field that plays a vital role in the development of intelligent systems that can adapt to complex environments. It involves the representation, management, and analysis of knowledge, the development of intelligent agents, and the analysis of large amounts of data. With the increasing demand for intelligent systems, KE will continue to play a critical role in shaping the future of technology and society.

Weight: 532g
Dimension: 244 x 175 x 27 (mm)
ISBN-13: 9783110713169