Places in Information Science-Reference-Cited by-同舟云学术

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Places in Information Science

Published:2019-03-12 Issue:11 Volume:70 Page:1173-1182
ISSN:2330-1635
Container-title:Journal of the Association for Information Science and Technology
language:en
Short-container-title:Journal of the Association for Information Science and Technology

Author:

Purves Ross S.¹²,Winter Stephan³^ORCID,Kuhn Werner⁴

Affiliation:

1. Department of Geography University of Zurich Zurich Switzerland

2. University Research Priority Programme, Language and Space University of Zurich Zurich Switzerland

3. Department of Infrastructure Engineering The University of Melbourne Melbourne Australia

4. Department of Geography and Center for Spatial Studies University of California Santa Barbara California USA

Funder

National Science Foundation

Australian Research Council

University of Melbourne

Publisher

Wiley

Subject

Library and Information Sciences,Information Systems and Management,Computer Networks and Communications,Information Systems

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/asi.24194

Reference73 articles.

1. Inferring Thematic Places from Spatially Referenced Natural Language Descriptions

2. Space and Place

3. Exploring the Notion of Spatial Lenses

4. Analysis of user need in image archives

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1. Spatial Semantics for the Evaluation of Administrative Geospatial Ontologies;ISPRS International Journal of Geo-Information;2024-08-17

2. Exploring Qualitative Geographies in Large Volumes of Digital Text: Placing Tourists, Travelers, and Inhabitants in the English Lake District;Annals of the American Association of Geographers;2024-07-15

3. Geographical and linguistic perspectives on developing geoparsers with generic resources;International Journal of Geographical Information Science;2024-06-30

4. Exploring Non-Linear and Synergistic Effects of Street Environment on the Spirit of Place in Historic Districts: Using Multi-Source Data and XGBoost;Sustainability;2024-06-18

5. Mapping Great Britain's semantic footprints through a large language model analysis of Reddit comments;Computers, Environment and Urban Systems;2024-06

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