KMi Publications

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
Download PDF

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.
 
KMi Publications Event | SSSW 2013, The 10th Summer School on Ontology Engineering and the Semantic Web Journal | 25 years of knowledge acquisition
 

New Media Systems is...


Our New Media Systems research theme aims to show how new media devices, standards, architectures and concepts can change the nature of learning.

Our work involves the development of short life-cycle working prototypes of innovative technologies or concepts that we believe will influence the future of open learning within a 3-5 year timescale. Each new media concept is built into a working prototype of how the innovation may change a target community. The working prototypes are all available (in some form) from this website.

Our prototypes themselves are not designed solely for traditional Open Learning, but include a remit to show how that innovation can and will change learning at all levels and in all forms; in education, at work and play.