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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
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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
 

Social Software is...


Social Software
Social Software can be thought of as "software which extends, or derives added value from, human social behaviour - message boards, musical taste-sharing, photo-sharing, instant messaging, mailing lists, social networking."

Interacting with other people not only forms the core of human social and psychological experience, but also lies at the centre of what makes the internet such a rich, powerful and exciting collection of knowledge media. We are especially interested in what happens when such interactions take place on a very large scale -- not only because we work regularly with tens of thousands of distance learners at the Open University, but also because it is evident that being part of a crowd in real life possesses a certain 'buzz' of its own, and poses a natural challenge. Different nuances emerge in different user contexts, so we choose to investigate the contexts of work, learning and play to better understand the trade-offs involved in designing effective large-scale social software for multiple purposes.