127 – Wolfram Alpha
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This episode covers Wolfram|Alpha, Wolfram‘s computational knowledge engine and the backend of Siri. Our guest is Michael Trott, the chief scientist of Wolfram|Alpha. In the episode we discuss how Wolfram|Alpha works, including aspects of language processing, ontologies and semantics as well as presentation of results to the user.
- Wolfram|Alpha Blog : Michael Trott
- Michael Trott | LinkedIn
- Wolfram|Alpha: Computational Knowledge Engine
- Wolfram Alpha (WP)
- Wolfram Research
- Wolfram Mathematica
- Stephen Wolfram (WP)
- Integral Calculator: Wolfram Mathematica Online Integrator
- CIA – The World Factbook
- Ontology (WP)
- Extrasolar planet (WP)
- Kepler: Home Page
- OWL
- RDF – Semantic Web Standards – W3C
- RDF (WP)
- A New Kind of Science
- Cellular automaton (WP)
- Rule 30 (WP)
- Genetic algorithm (WP)
- Siri (WP)
- Bessel function (WP)
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Loved it. Thanks guys.
Markus, thank you very much for this episode. I will share the link with my colleagues as a number of the issues raised are very relevant to our own field. You say in this interview that you have not seen successes from ontology-based approaches for knowledge discovery. You may want to have a look at an interesting international project that we are involved in, http://www.openphacts.org/ . This uses semantic web technology to speed up the pre-competitive research in the pharmaceutical industry. A series of API’s are developed along with some sample applications that help life science researchers ask “difficult” questions bridging many databases. Some of our friends are working on business models surrounding this system.
Hi Rob, thank you cery much for the pointer, I’ll take a look at it! There may be an episode hiding in it :)
Markus
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