Tech Reports
Tech Report kmi-04-13 Abstract
Document retrieval based on intelligent query formulation
Techreport ID: kmi-04-13
Date: 2004
Author(s): Gaston G.Burek, Maria Vargas-Vera
This paper presents a proposal for an open domain question answering coupled with ontological integrated space. It uses Latent Semantic Indexing (LSA) in conjunction with ontologies and First order Logic (FOL) to locate relevant documents to a query in a collection of documents. The main strength of the suggested approach relies in the use of contextual information, embedded in an integrated ontological space, to perform intelligent document retrieval.
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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