Wolfram|Alpha is described as having four key components:
An ever-growing repository of underlying curated data piped in and stored on Wolfram Research systems, complementing the existing computable data stores already available through Mathematica. 5-6M lines of computational code repurposed from the Mathematica software kernel Rudimentary natural language processing (NLP) capability, which is optimized for this specific domain, and mapped into the underlying computational pattern language Automated presentation of results in the most useful way, using text, graphics, and sound, for the context of the submitted inquiry.
Relating Wolfram|Alpha to the Semantic Web As a researcher interested in all things related to the Semantic Web, I wanted to find out more about if, or how, Wolfram|Alpha might be leveraging W3C-based standards, including RDF linked data across OWL-based ontologies, to infer meaning and results across both curated and uncurated data stores.



