Information Retrieval and Quantum Theory
This event took place on Wednesday 16 July 2008 at 11:30
Guido Zuccon
In this talk I will illustrate how Quantum Theory can be used to model Information Retrieval. In particular, I will briefly illustrate some previous work in this area, such the ones by van Rijsbergen ("The Geometry of Information Retrieval", CUP 2004) and Melucci ("A basis for Information Retrieval in Context", TOIS June 2008). Then I will describe how a technique for IR based on Logical Imaging can be formalized in terms of Quantum Theory: part of the work that I am going to introduce will be presented at TIR2008 in a paper titled "A formalization of Logical Imaging for Information Retrieval using Quantum Theory". Finally, I'm going to illustrate the ideas I planned to investigate during my visit to KMi.
This event took place on Wednesday 16 July 2008 at 11:30
In this talk I will illustrate how Quantum Theory can be used to model Information Retrieval. In particular, I will briefly illustrate some previous work in this area, such the ones by van Rijsbergen ("The Geometry of Information Retrieval", CUP 2004) and Melucci ("A basis for Information Retrieval in Context", TOIS June 2008). Then I will describe how a technique for IR based on Logical Imaging can be formalized in terms of Quantum Theory: part of the work that I am going to introduce will be presented at TIR2008 in a paper titled "A formalization of Logical Imaging for Information Retrieval using Quantum Theory". Finally, I'm going to illustrate the ideas I planned to investigate during my visit to KMi.
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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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