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Aboutness from a commonsense perspective.

Bruza, P.D.; Song, D.W.; Wong, K.F.


P.D. Bruza

D.W. Song

K.F. Wong


Information retrieval (IR) is driven by a process which decides whether a document is about a query. Recent attempts spawned from logic-based information retrieval theory have formalized properties characterizing aboutness, but no consensus has yet been reached. The proposed properties are largely determined by the underlying framework within which aboutness is defined. In addition, some properties are only sound within the context of a given IR model, but are not sound from the perspective of the user. For example, a common form of aboutness, namely overlapping aboutness, implies precision degrading properties such as compositional monotonicity. Therefore, the motivating question for this paper is: Independent of any given IR model, and examined within an information- based, abstract framework, what are commonsense properties of aboutness (and its dual, non-aboutness)? We propose a set of properties characterizing aboutness and non-aboutness from a commonsense perspective. Special attention is paid to the rules prescribing conservative behaviour of aboutness with respect to information composition. The interaction between aboutness and non-aboutness is modeled via normative rules. The completeness, soundness and consistency of the aboutness proof systems are analyzed and discussed. A case study based on monotonicity shows that many current IR systems are either monotonic or non-monotonic. An interesting class of IR models, namely those that are conservatively monotonic, is identified.


BRUZA, P.D., SONG, D.W. and WONG, K.F. 2000. Aboutness from a commonsense perspective. Journal of the Association for Information Science and Technology [online], 51(12), pages 1090-1105. Available from:<::AID-ASI1026>3.0.CO;2-Y

Journal Article Type Article
Acceptance Date Apr 17, 2000
Online Publication Date Aug 28, 2000
Publication Date Sep 21, 2000
Deposit Date Mar 12, 2009
Publicly Available Date Mar 12, 2009
Journal Journal of the American Society for Information Science and Technology
Print ISSN 1532-2882
Electronic ISSN 1532-2890
Publisher Association for Information Science and Technology (ASIS&T)
Peer Reviewed Peer Reviewed
Volume 51
Issue 12
Pages 1090-1105
Keywords Information retrieval; Aboutness
Public URL


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