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Commonsense aboutness for information retrieval.

Bruza, Peter D.; Song, Dawei; Wong, Kam-Fai; Cheng, Chin-Hung


Peter D. Bruza

Dawei Song

Kam-Fai Wong

Chin-Hung Cheng


Masoud Mohammadian


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 being determined by the underlying model. Once the framework has been fixed, certain aboutness properties could be implied from it. Moreover, some properties may be sound only within a certain IR model, and some may lead to negative effects to the performance of IR systems. In this paper, by adopting an information-based and abstract framework, model independent, commonsense properties of aboutness are investigated. A set of properties characterizing commonsense aboutness and its dual - non-aboutness is introduced. Issues such as the soundness and completeness of aboutness inference are discussed.


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.

Publication Date Jan 1, 2000
Deposit Date Sep 7, 2009
Publicly Available Date Sep 7, 2009
Publisher IOS Press
Pages 288-295
Book Title Advances in intelligent systems: theory and applications
ISBN 9781586030438
Keywords Information retrieval; Aboutness
Public URL


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