The Wolfram|Alpha approach to knowledge
This event took place on Wednesday 25 November 2009 at 11:30
Jon McLoone Wolfram Research
In May, a new computational knowledge engine, Wolfram|Alpha, was launched. By layering computational knowledge on large sets of curated, semantically marked up data, it attempts to provide direct bespoke answers to users queries. This talk will present Wolfram|Alpha and discuss issues related to semantic interpretation and disambiguation, collation and presentation of information and the encoding of knowledge. The speaker, Jon McLoone, is a developer from Wolfram Research, the makers of Wolfram|Alpha and the technical computing system, Mathematica.
This event took place on Wednesday 25 November 2009 at 11:30
In May, a new computational knowledge engine, Wolfram|Alpha, was launched. By layering computational knowledge on large sets of curated, semantically marked up data, it attempts to provide direct bespoke answers to users queries. This talk will present Wolfram|Alpha and discuss issues related to semantic interpretation and disambiguation, collation and presentation of information and the encoding of knowledge. The speaker, Jon McLoone, is a developer from Wolfram Research, the makers of Wolfram|Alpha and the technical computing system, Mathematica.
Future Internet
KnowledgeManagementMultimedia &
Information SystemsNarrative
HypermediaNew Media SystemsSemantic Web &
Knowledge ServicesSocial Software
Multimedia and Information Systems is...

We focus on content-based information retrieval over a wide range of data spanning form unstructured text and unlabelled images over spoken documents and music to videos. This encompasses the modelling of human perception of relevance and similarity, the learning from user actions and the up-to-date presentation of information. Currently we are building a research version of an integrated multimedia information retrieval system MIR to be used as a research prototype. We aim for a system that understands the user's information need and successfully links it to the appropriate information sources, be it a report or a TV news clip. This work is guided by the vision that an automated knowledge extraction system ultimately empowers people making efficient use of information sources without the burden of filing data into specialised databases.
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