Artificial Intelligence Wiki – a good place to start to understand what AI encompasses and its different areas.
Journal of Machine Learning Research – Amazingly complex scientific papers of AI algorithms. Not for light reading.
Areas of interest for me:
Reinforcement Learning – concerned with how an agent ought to take actions in an environment so as to maximize some notion of cumulative reward.
Data Mining – good starting point for learning about data mining
Basically Text Mining is data mining on unstructured data like documents, web pages, etc. instead of a database.
Natural Language Processing – Imagine a machine being able to scour the internet and actually extract knowledge about what it read.
Text Mining – an area of Natural Language Processing, has many commercial uses even today. i.e. Bing
Semantic Web – a machine readable version of the web.
DBpedia – An effort to translate Wikipedia into machine understandable format to facilitate complex queries and meanings of words, not just matches.
Freebase – Similar to DBpedia, but it is hand crafted. DBpedia has lots of links to it as well. A database of “bar codes” for all entities on the web. Aliasing… Also powers Bing
What is Text Mining – describes how text mining is more complex than data mining since it involves natural language processing.
Carrot2 – text and search results clustering framework. Very cool way to browse search results and get to what you are looking for