A Special Session on Advances in Web Intelligence and Data Mining will be held during the 5^th Indian International Conference on Artificial Intelligence (IICAI-11).

Over the last decade the Web has virtually become the main repository for data sharing and information gathering. The popularity of the Web can be attributed to various factors like cheap and easy accessibility, user-friendly interface and availability of hypermedia documents. The unabated growth of the Web has brought new challenges and has uncovered the need for intelligent methods to deal effectively with the problem of information overload. Web search engines are special purpose software that helps users locate information over the Web. However, for the Web to reach its full potential, we must improve its services, make it more comprehensible, and increase its usability.

Web Intelligence (WI), a combination of Web analytics, has been recognized as a new direction for scientific research and development that explores the fundamental roles as well as practical impacts of Artificial Intelligence (AI) and advanced Information Technology (IT) on the next generation of Web-empowered products, systems, services, and activities. Due to the fast growing interest and research results, WI is one of the most promising IT research field for the development of the Wisdom Web (including the Semantic Web).

The new Web-related research directions include intelligent methods usually associated with the fields of computational intelligence, soft computing, and data mining. Since the Web is a huge and dynamic collection of pages that includes countless hyperlinks and huge volumes of access and usage information, data mining provides a key technology for Web Intelligence and have been applied in many newly developed intelligent Web information systems.

The purpose of this special session is to attract researchers and professionals to share their knowledge, reports and advances in Web Intelligence and Data Mining. We invite submissions in all Web Intelligence and Data Mining related areas that include, but not limited to:

• Semantic web
• Semantic web services
• World Wide Wisdom Web (W4)
• Web information retrieval and filtering
• Ontology engineering, learning and amalgamation
• Ontology-based information retrieval and extraction
• Web content mining (text mining, data mining, multimedia data mining, etc.)
• Web usage mining
• Web structure mining
• Semantic web mining
• Social networks analysis
• Sentiment analysis and opinion mining
• Recommender systems
• Dealing with vague & incomplete semantic data
• Soft computing and uncertainty reasoning for WI
• Web security, integrity, privacy and trust
• Web-based intelligence monitoring and analysis
• Cyber-crime detection and analysis
• Impact of short communications like Twitter