Information Science Reference Methodological Advancements in Intelligent Information Technologies: Evolutionary Trends (Premier Reference Source)

Recent advancements in technology have influenced major change within many industries. Because of such advancements, businesses and organizations are adapting to a more technology based work environment in order achieve a higher rate of production, output, and accuracy. Methodological Advancements in Intelligent Information Technologies: Evolutionary Trends brings together research from international authors detailing developments in intelligent information technologies and their impact on organizational environments. This esteemed reference publication covers topics on agent-based approaches to process management, semantic Web services, data mining techniques, engineering software technologies, and scalable and adaptive Web search engines, in order to provide current research for practitioners, educators, and students interested in the implementation of innovative technologies in a variety of work environments. About the Author Vijayan Sugumaran is a Professor of Management Information Systems in the Department of Decision and Information Sciences at Oakland University (Rochester, MI). Dr. Sugumaran received his BTech in mining engineering from the Indian School of Mines, MS in mining engineering from the University of Alaska � Fairbanks, and PhD in information technology from George Mason University. His research interests are in the areas of intelligent agent and multi-agent systems, component based software development and reuse, ontologies, Semantic Web and Web services, and internet technologies.