Preface
Acknowledgments
Author
Acronyms
List of figures
List of tables
PART A: INTERNET COMPUTING
1. INTERconnected NETwork: INTERNET
1.1. Internet: The Giant WAN
1.2. Communicating over the Internet
1.3. Accessing the Internet
1.4. Internet Organizations
1.5. Cyber Ethics
2. Internet Applications
2.1. Internet Services
2.2. Electronic Mail (E-mail)
2.3. File Transfer
2.4. Real-time User Communication
2.5. Remote Login
2.6. Usenet
2.7. World Wide Web
PART B: WEB THEORY
3. The World Wide Web
3.1. The Web
3.2. The Working of Web
3.3. Web Terminology
3.3.1. Web page
3.4. Web Architecture
3.5. World Wide Web Challenges
4. HTTP: Hypertext Transfer Protocol
4.1. Hypertext Transfer Protocol (HTTP)
4.2. HTTP Version
4.3. HTTP Connections
4.4. HTTP Communication
4.5. Hypertext Transfer Protocol Secure (HTTPS)
4.6. HTTP State Retention: Cookies
4.7. HTTP Cache
5. Evolution of Web
5.1. The Generations of Web
5.2. Web 1.0
5.3. Web 2.0
5.4. Web 3.0
5.5. Big Data: A Special Discussion
6. Web IR: Information Retrieval on the Web
6.1. Web Information Retrieval (Web IR)
6.2. Web IR Tools
6.3. Web IR Architecture (Search Engine Architecture)
6.4. Web IR Performance Metrics
6.5. Web IR Models
6.6. Google’s PageRank TM
PART C: WEB DEVELOPMENT
7. Web Development Basics
7.1. Elements of Web Development
7.2. Client Side and Server-side scripting
7.3. Model-View-Controller (MVC) Architecture
8. Client-side Technologies
8.1. HTML
8.2. CSS
8.3. JavaScript
8.4. Bootstrap Framework
8.5. AngularJS Framework
9. Server-side Technologies
9.1. Server-side Scripting
9.2. PHP
9.3. Node.js: Server-side JavaScript
10. Web Application Frameworks
10.1. DJango
10.2. Ruby on Rails (RoR)
11. Web Databases
11.1. Web Database
11.2. SQL: Relational Databases
11.3. NoSQL Databases: Non-Relational & Distributed Data
11.4. Understanding Popular Databases
PART D: WEB RESEARCH
12. Research Trends in Web
12.1. Contextual Information Retrieval
12.2. Web Mining
APPENDIX
Appendix A: HTML Examples
Appendix B: A Recipe Website project using Django and Neo4j:
Kitchen Ninja
Bibliography
Akshi Kumar is a Ph.D in Computer Engineering from
the University of Delhi, Delhi, India. She has received her MTech
(Master of Technology) and BE (Bachelor of Engineering) degrees in
Computer Engineering. She is currently working as an Assistant
Professor in Department of Computer Science & Engineering at the
Delhi Technological University, Delhi, India. She was a
teaching-cum-research fellow at Netaji Subhas Institute of
Technology, University of Delhi, India.
Dr. Kumar’s research interests are in the area of text mining,
sentiment analysis, recommender systems, social & semantic Web, and
analytics of user-generated big-data. She has many publications in
various international journals/conferences to her credit, has
authored books and co-authored book chapters within her domain of
interest. She is actively involved in research activities as the
editorial review board member for international journals, session
chair & technical program committee member for international
conferences and providing research supervision at under-graduate,
post-graduate and doctorate levels. She has visited foreign
universities like Imperial College, London and University of
Cambridge, UK. She is a member of IEEE, IEEE (WIE) and ACM and a
life member of ISTE and CSI, India, a member of IACSIT, Singapore,
a member of IAENG & IAENG society of computer science, Hong Kong
and a member of Internet Computing Community (ICC), AIRCC.
Dr. Kumar can be contacted via e-mail at akshi.kumar@gmail.com
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