Computer Science – Artificial Intelligence
Scientific paper
2008-07-06
Computer Journal, 53 (3), 304-315, 2010
Computer Science
Artificial Intelligence
Sixth Annual Boole Lecture in Informatics, Boole Centre for Research in Informatics, Cork, Ireland, 29 April 2008. 28 pp., 17
Scientific paper
10.1093/comjnl/bxn045
We study two aspects of information semantics: (i) the collection of all relationships, (ii) tracking and spotting anomaly and change. The first is implemented by endowing all relevant information spaces with a Euclidean metric in a common projected space. The second is modelled by an induced ultrametric. A very general way to achieve a Euclidean embedding of different information spaces based on cross-tabulation counts (and from other input data formats) is provided by Correspondence Analysis. From there, the induced ultrametric that we are particularly interested in takes a sequential - e.g. temporal - ordering of the data into account. We employ such a perspective to look at narrative, "the flow of thought and the flow of language" (Chafe). In application to policy decision making, we show how we can focus analysis in a small number of dimensions.
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