All Outputs (2)

Concept induction via fuzzy C-means clustering in a high dimensional semantic space. (2007)
Book Chapter
SONG, D., CAO, G., BRUZA, P.D. and LAU, R.Y.K. 2007. Concept induction via fuzzy C-means clustering in a high dimensional semantic space. In Valente de Oliveira, J. and Pedrycz, W. (eds.) Advances in fuzzy clustering and its applications. Chichester: Wiley [online], chapter 19, pages 393-403. Available from: https://www.wiley.com/en-gb/Advances+in+Fuzzy+Clustering+and+its+Applications-p-9780470061183

Lexical semantic space models have recently been investigated to automatically derive the meaning (semantics) of information based on natural language usage. In a semantic space, a term can be considered as a concept represented geometrically as a ve... Read More about Concept induction via fuzzy C-means clustering in a high dimensional semantic space..

Commonsense aboutness for information retrieval. (2000)
Book Chapter
BRUZA, P.D., SONG, D., WONG, K.-F. and CHENG, C.-H. 2000. Commonsense aboutness for information retrieval. In Mohammadian, M. (ed.) Advances in intelligent systems: theory and applications. Amsterdam: IOS Press, pages 288-295.

Information retrieval (IR) is driven by a process which decides whether a document is about a query. Recent attempts have been made to formalize properties of aboutness, but no consensus has been reached. The properties being proposed are largely bei... Read More about Commonsense aboutness for information retrieval..