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Journal of the Association for Information Science and Technology
Article . 2019 . Peer-reviewed
License: CC BY
Data sources: Crossref
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PubMed Central
Other literature type . 2019
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https://dx.doi.org/10.5167/uzh...
Other literature type . 2019
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Places in Information Science

Authors: Purves, Ross S; Winter, Stephan; Kuhn, Werner;

Places in Information Science

Abstract

Human spatial concepts, such as the concept of place, are not immediately translatable to the geometric foundations of spatial databases and information systems developed over the past 50 years. These systems typically rest on the concepts of objects and fields, both bound to coordinates, as two general paradigms of geographic representation. The match between notions of place occurring in everyday where questions and the data available to answer such questions is unclear and hinders progress in place‐based information systems. This is particularly true in novel application areas such as the Digital Humanities or speech‐based human–computer interaction, but also for location‐based services. Although this shortcoming has been observed before, we approach the challenges of relating places to information system representations with a fresh view, based on a set of core concepts of spatial information. These concepts have been proposed in information science with the intent of serving human–machine spatial question asking and answering. Clarifying the relationship of the notion of place to these concepts is a significant step toward geographically intelligent systems. The main result of the article is a demonstration that the notion of place fits existing concepts of spatial information, when these are adequately exploited and combined.

Keywords

Information Systems and Management, Computer Networks and Communications, Library and Information Sciences, 1710 Information Systems, 004, 10122 Institute of Geography, 1705 Computer Networks and Communications, 1802 Information Systems and Management, 3309 Library and Information Sciences, 910 Geography & travel, Research Articles, Information Systems

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    popularity
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    Top 1%
    influence
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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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!
50
Top 1%
Top 10%
Top 10%
Green
hybrid