Intelligent Technologies for Web Applications / Edition 1

by Priti Srinivas Sajja, Rajendra Akerkar

Overview

The Internet has become an integral part of human life, yet the web still utilizes mundane interfaces to the physical world, which makes Internet operations somewhat mechanical, tedious, and less human-oriented. Filling a large void in the literature, Intelligent Technologies for Web Applications is one of the first books to focus on providing vital fundamental and advanced guidance in the area of Web intelligence for beginners and researchers.

The book covers techniques from diverse areas of research, including:

• Natural language processing



• Information extraction, retrieval, and filtering



• Knowledge representation and management



• Machine learning



• Databases



• Data, web, and text mining



• Human–computer interaction



• Semantic web technologies

To develop effective and intelligent web applications and services, it is critical to discover useful knowledge through analyzing large amounts of content, hidden content structures, or usage patterns of web data resources. Intended to improve and reinforce problem-solving methods in this area, this book delves into the hybridization of artificial intelligence (AI) and web technologies to help simplify complex Web operations. It introduces readers to the state-of-the art development of web intelligence techniques and teaches how to apply these techniques to develop the next generation of intelligent Web applications.

The book lays out presented projects, case studies, and innovative ideas, which readers can explore independently as standalone research projects. This material facilitates experimentation with the book’s content by including fundamental tools, research directions, practice questions, and additional reading.

Product Details

ISBN-13:	9780367381363
Publisher:	Taylor & Francis
Publication date:	09/23/2019
Series:	Chapman & Hall/CRC Data Mining and Knowledge Discovery Serie
Pages:	367
Product dimensions:	7.00(w) x 10.00(h) x (d)

About the Author

Priti Srinivas Sajja joined the faculty of the Department of Computer Science, Sardar Patel University, India in 1994 and presently works as an Associate Professor. She received her M.S. (1993) and Ph.D (2000) in Computer Science from the Sardar Patel University. Her research interests include knowledge-based systems, soft computing, multiagent systems, and software engineering. She has more than 100 publications in books, book chapters, journals, and in the proceedings of national and international conferences. Four of her publications have won best research paper awards. She is co-author of 'Knowledge-Based Systems'. She is supervising work of seven doctoral research students. She is Principal Investigator of a major research project funded by UGC, India. She is serving as a member in editorial board of many international science journals and served as program committee member for various international conferences.

Rajendra Akerkar is a professor/senior researcher at the Western Norway Research Institute (Vestlandsforsking), Norway. His research and teaching experience includes over 20 years in the Academia spanning different universities in Asia, Europe and North America. As founder, he is instrumental in ensuring that the Technomathematics Research Foundation (TMRF) lends a platform for research in India. Under his leadership, TMRF has become one of the well-known organizations amongst the research community worldwide. His current research agenda basically concentrates on learning and language - how each works in the human and how they can be replicated in a machine. He received DAAD fellowship in 1990 and also awarded prestigious BOYSCASTS Young Scientist award of Department of Science & Technology, Government of India, in 1997. He is an Editor-in-Chief of International Journal of Computer Science & Applications, and Associate Editor of International Journal of Metadata, Ontologies and Semantics. He is

Table of Contents

Part I: Introduction to the Web, machine learning, new AI techniques, and web intelligence

Introduction to World Wide Web. Machine learning concepts. Overview of constituents for the new artificial intelligence. Web intelligence.

Part II: Information retrieval, mining, and extraction of content from the Web

Web information retrieval. Web mining. Structured data extraction.

Part III: Semantic web and web knowledge management

Semantic web. Web knowledge management. Social network intelligence.

Part IV: Agent-based web, security issues, and human–computer interaction

Agent-based web. Web security. Human–web interactions.