Improving Data Integration through Disambiguation Techniques
This event took place on Wednesday 23 July 2008 at 11:30
Ing. Laura Po University of Modena e Reggio
In this talk I will show how disambiguation techniques can be use to improved Data Integration. In particular, I will briefly illustrate how performing the disambiguation of source elements can supply some useful relationships for the integration process. I will show the CWSD algorithm (Combined Word Sense Disambiguation) we have developed at the DBGROUP at the University of Modena and Reggio Emilia. Then I will point out some new ideas on a probabilistic way to combine different WSD algorithms.
This event took place on Wednesday 23 July 2008 at 11:30
In this talk I will show how disambiguation techniques can be use to improved Data Integration. In particular, I will briefly illustrate how performing the disambiguation of source elements can supply some useful relationships for the integration process. I will show the CWSD algorithm (Combined Word Sense Disambiguation) we have developed at the DBGROUP at the University of Modena and Reggio Emilia. Then I will point out some new ideas on a probabilistic way to combine different WSD algorithms.
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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