While the knowledge level of AI problem solving has been captured by numerous libraries of problem-solving methods, similar effort for web-related knowledge-intensive tasks is still missing. The focus of this paper is on tasks arising in analysis of website content and structure, such as pornography recognition or extraction of key facts about companies. This paper identifies the core generic tasks and atomic inferences, and illustrates them on instances from the application problems.
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