research-article

Knowledge acquisition about places

Authors:

Stephan Winter,

Krzysztof Janowicz,

Kai-Florian Richter,

Maria VasardaniAuthors Info & Claims

SIGSPATIAL Special, Volume 4, Issue 3

Pages 20 - 21

https://doi.org/10.1145/2429177.2429181

Published: 01 November 2012 Publication History

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Abstract

Place, a concept originating from human geography [1, 2], has recently become a hot topic in GIScience: place is important in human cognition and communication, and hence, is a high priority for human-computer interaction research. But place is also a challenging concept to model, reason with, and analyze in information systems, because of its fluency with context shifts, and its underspecification [3]. Thinking about knowledge acquisition methods---from geographic information retrieval from big data to dedicated user generated content---they seem to involve several disciplines such as computational linguistics, data mining, artificial intelligence, and geographic information science.

References

[1]

Cresswell, T. Place: A Short Introduction. Blackwell Publishing Ltd., Oxford, UK, 2004.

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[2]

Tuan, Y.-F. Space and Place: The Perspective of Experience. University of Minnesota Press, Minneapolis, MN, 1977.

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[3]

Winter, S., Kuhn, W. and Krüger, A. Does Place have a Place in Geographic Information Science? Spatial Cognition and Computation, 9, 3 2009), 171--173.

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Zhou ZWeibel RFu CWinter SHuang H(2021)Indoor landmark selection for route communication: the influence of route-givers’ social roles and receivers’ familiarity with the environmentSpatial Cognition & Computation10.1080/13875868.2021.1959595(1-34)Online publication date: 8-Aug-2021
https://doi.org/10.1080/13875868.2021.1959595
Nuhn ETimpf S(2017)A multidimensional model for selecting personalised landmarksJournal of Location Based Services10.1080/17489725.2017.140112911:3-4(153-180)Online publication date: 4-Dec-2017
https://doi.org/10.1080/17489725.2017.1401129
Nuhn ETimpf S(2017)An Overall Framework for Personalised Landmark SelectionProgress in Location Based Services 201810.1007/978-3-319-71470-7_12(231-253)Online publication date: 9-Dec-2017
https://doi.org/10.1007/978-3-319-71470-7_12
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Knowledge acquisition about places

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SIGSPATIAL Special Volume 4, Issue 3

November 2012

20 pages

EISSN:1946-7729

DOI:10.1145/2429177

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Association for Computing Machinery

New York, NY, United States

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Published: 01 November 2012

Published in SIGSPATIAL Volume 4, Issue 3

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Zhou ZWeibel RFu CWinter SHuang H(2021)Indoor landmark selection for route communication: the influence of route-givers’ social roles and receivers’ familiarity with the environmentSpatial Cognition & Computation10.1080/13875868.2021.1959595(1-34)Online publication date: 8-Aug-2021
https://doi.org/10.1080/13875868.2021.1959595
Nuhn ETimpf S(2017)A multidimensional model for selecting personalised landmarksJournal of Location Based Services10.1080/17489725.2017.140112911:3-4(153-180)Online publication date: 4-Dec-2017
https://doi.org/10.1080/17489725.2017.1401129
Nuhn ETimpf S(2017)An Overall Framework for Personalised Landmark SelectionProgress in Location Based Services 201810.1007/978-3-319-71470-7_12(231-253)Online publication date: 9-Dec-2017
https://doi.org/10.1007/978-3-319-71470-7_12
Nuhn ETimpf S(2017)Personal Dimensions of LandmarksSocietal Geo-innovation10.1007/978-3-319-56759-4_8(129-143)Online publication date: 5-Apr-2017
https://doi.org/10.1007/978-3-319-56759-4_8

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Students’ interest in knowledge acquisition in Artificial Intelligence

Knowledge Acquisition Passage Retrieval: Corpus, Ranking Models, and Evaluation Resources

Modelling vague places with knowledge from the Web

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