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Intelligent Technologies for Web Applications

Gebonden Engels 2012 9781439871621
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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
-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.


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Part I: Introduction to the Web, machine learning, new AI techniques, and web intelligence
1. Introduction to World Wide Web
-Brief history of the Web and the Internet
-Collaborative mapping
-Aggregation technologies
-Open platforms, application programming interface, and programming tools
-Web intelligence
-Intelligence in web applications
-Organization of this book

2. Machine learning concepts
-Linear regression
-Supervised learning: Classification
-Support vector machines
-Nearest neighbor classifiers
-Unsupervised learning: clustering
-Hidden Markov models
-Bayesian methods
-Reinforcement learning
-Applications of machine learning

3. Overview of constituents for the new artificial intelligence
-Foundations of the new artificial intelligence and knowledge-based system
-Fuzzy systems
-Artificial neural networks
-Genetic algorithms and evolutionary computing
-Rough sets
-Soft computing
-Benefits of the new AI to World Wide Web

4. Web intelligence
-Internet, web, grid, and cloud
-Introduction to web intelligence
-Perspectives of WI
-Levels of WI
-Goal of WI
-Characteristics of web intelligence
-Challenges and issues of WI
-Wisdom web
-Web-based support systems
-Designing an intelligent web
-Future of WI

Part II: Information retrieval, mining, and extraction of content from the Web
5. Web information retrieval
-Typical web search engines
-Architecture of a web crawler
-Distributed crawling
-Focused spiders/crawlers
-Collaborative crawling
-Some tools and open source for web crawling
-Information retrieval: beyond searching
-Models of information retrieval
-Performance measures in IR
-Natural language processing in conjunction with IR
-Knowledge-based system for information retrieval
-Research trends

6. Web mining
-Introduction to web mining
-Evolution of web mining techniques
-Process of web mining
-Web content mining
-Web usage mining
-Web structure mining
-Sensor web mining: architecture and applications
-Web mining software
-Opinion mining
-Other applications using AI for web mining
-Future research directions

7. Structured data extraction
-Wrapper induction
-Locating data-rich pages
-Systems for wrapper generation
-Applications and commercial systems

Part III: Semantic web and web knowledge management
8. Semantic web
-Introduction to semantic web
-Layered architecture of semantic web
-Refined architecture of semantic web
-Ontology and ontology constructs
-Ontology tools and editors
-Annotation tools
-Inference engines
-Semantic web applications
-Semantic web interoperability and web mining
-Semantic web and social communities
-Semantic web and intelligent search
-Semantic web research issues

9. Web knowledge management
-About knowledge
-Knowledge management fundamentals
-Ontology revisited
-Utilization of knowledge management methodologies on semantic web
-Exchanging knowledge in virtual entities
-Case study
-Building the World Wide Why
-Conclusion and applications

10. Social network intelligence
-Introduction to social networking
-Semantically interlinked online communities
-Social network analysis
-Social network data
-hCard and XFN
-Advantages and disadvantages of social networking
-Social graph application programming interface
-Social search and artificial intelligence
-Research future

Part IV: Agent-based web, security issues, and human–computer interaction
11. Agent-based web
-Typology of agents
-Multiagent systems
-Agent-based web
-Hybridization of mobile agent and interface agent: A case for personalized content representation
-Case study

12. Web security
-Web vulnerabilities
-Web server protection
-Security and privacy
-Contributions of AI for security issues

13. Human–web interactions
-Features of a good website
-What is interaction?
-Interaction design and related parameters
-Process of interaction design
-Conceptual models of interaction
-Interface design methods
-Tools for human–web interaction
-Interaction evaluation methods
-Human–computer interaction and human–web interaction
-Issues in human–web interactions
-Support of AI for human–web interactions
-Case studies
-Research applications


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