TY - GEN
T1 - Constructing Place Representations from Human-Generated Descriptions in Hebrew
AU - Bauman, Tal
AU - Omer, Itzhak
AU - Dalyot, Sagi
N1 - Publisher Copyright:
© 2022, Springer Nature Switzerland AG.
PY - 2022
Y1 - 2022
N2 - Space is a natural and indispensable part of the human communication form, mostly based on natural-spatial descriptions with varying lexical structures that rely on human spatial cognition and perception. This is a “geographic language” which machines do not understand, and accordingly do not properly process. Consequently, geographic information retrieval is limited due to the lack of rich and comprehensive textual-geographical databases required, for example, for spatio-query processes. While in English there exists a relatively rich set of libraries and tools, in Hebrew there is a void, with no automatic tools for addressing this problem. We propose a methodology that mimics human literal place descriptions, utilizing implicit geometries and topologies existing in geospatial databases. This study focuses on the first stage, which includes collecting a lingual dataset of human place descriptions with an online survey. Using Hebrew Natural Language Processes, place entities and their spatial relations were extracted from the survey descriptions. Similar place entities and relations were simultaneously extracted from OpenStreetMap database. Through place queries that rely on textual phrases from these two sources, human descriptions of places were geolocated. Finally, these locations were compared to retrieved locations acquired through Google maps API on survey descriptions - showing very promising results in accurately locating the described places.
AB - Space is a natural and indispensable part of the human communication form, mostly based on natural-spatial descriptions with varying lexical structures that rely on human spatial cognition and perception. This is a “geographic language” which machines do not understand, and accordingly do not properly process. Consequently, geographic information retrieval is limited due to the lack of rich and comprehensive textual-geographical databases required, for example, for spatio-query processes. While in English there exists a relatively rich set of libraries and tools, in Hebrew there is a void, with no automatic tools for addressing this problem. We propose a methodology that mimics human literal place descriptions, utilizing implicit geometries and topologies existing in geospatial databases. This study focuses on the first stage, which includes collecting a lingual dataset of human place descriptions with an online survey. Using Hebrew Natural Language Processes, place entities and their spatial relations were extracted from the survey descriptions. Similar place entities and relations were simultaneously extracted from OpenStreetMap database. Through place queries that rely on textual phrases from these two sources, human descriptions of places were geolocated. Finally, these locations were compared to retrieved locations acquired through Google maps API on survey descriptions - showing very promising results in accurately locating the described places.
KW - Geographic information retrieval
KW - Hebrew
KW - Human spatial cognition
KW - Natural language processing
UR - http://www.scopus.com/inward/record.url?scp=85131132547&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-06245-2_5
DO - 10.1007/978-3-031-06245-2_5
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AN - SCOPUS:85131132547
SN - 9783031062445
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 51
EP - 60
BT - Web and Wireless Geographical Information Systems - 19th International Symposium, W2GIS 2022, Proceedings
A2 - Karimipour, Farid
A2 - Storandt, Sabine
PB - Springer Science and Business Media Deutschland GmbH
T2 - 19th International Symposium on Web and Wireless Geographical Information Systems, W2GIS 2022
Y2 - 28 April 2022 through 29 April 2022
ER -