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Place-Based Knowledge Systems: Human and Machine

Authors: Davies, Clare;

Place-Based Knowledge Systems: Human and Machine

Abstract

To tackle the problem of representing places we need to consider what people know and ask about them. This paper first suggests a list of potential queries of a ‘platial’ GIS, and it points out that half of them are not directly spatial but semantic, vaguely specified, and rooted in people’s sensory–motor (SM) experiences of places. Recent research into human semantic cognition has indicated both explicit and separate storage of SM aspects of each stored concept or category, alongside other key features of how semantic memory appears to work. A very recent computational model taken from the semantic memory research area is briefly reviewed, which holds some potential to be applied to places. If found to effectively reflect human place cognition, this could eventually link a more humanly plausible semantic representation (probably informed by large-scale text sources) to spatial data in a GIS. Further necessary research is proposed.

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Keywords

queries, places as concepts, semantics, user needs

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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