Place related information still needs to be generated, linked, and curated in a mostly manual and time consuming fashion. This problem has become increasingly pressing in the age of Big Data, where the generation, provenance, curation, and quality of place related data is almost unmanageable and does not scale with the growth of other data in need of georeferencing.
Proceeding Downloads
Identification of structural landmarks in a park using movement data collected in a location-based game
The goal of this paper is to investigate the possibility to identify structural landmarks using movement data collected during an event of a location-based game. Landmarks are visually, structurally or cognitively salient, spatial features used for ...
Extracting Semantics of Individual Places from Movement Data by Analyzing Temporal Patterns of Visits
Data reflecting movements of people, such as GPS or GSM tracks, can be a source of information about mobility behaviors and activities of people. Such information is required for various kinds of spatial planning in the public and business sectors. ...
Semantic place localization from narratives
Place narratives provide a rich resource of learning how humans localize places. Place localization can be done in various ways, relative to other spatial referents, and relative to agents and their activities in which these referents may be involved. ...
A Framework for Discriminative Polygonal Place Scoping
In general, it is desirable to have automatic tools that identify places in spatial data and to describe their characteristics, creating high-level summaries for spatial datasets which are valuable for planners, scientists, and policy makers. In this ...
Identifying Spatial Structure of Urban Functional Centers Using Travel Survey Data: A Case Study of Singapore
Identifying the spatial structure generated by urban movements contributes to a better understanding of urban dynamics and is crucial to urban planning applications. Despite a number of studies concerning functional urban space, related research is ...
A method of Area of Interest and Shooting Spot Detection using Geo-tagged Photographs
Social media sites include many photographs taken at various locations and times. As described herein, we propose a method to identify hotspots to visualize user interest using geo-tagging of photographs posted on social media sites. Hotspots are ...
Towards Platial Joins and Buffers in Place-Based GIS
Place-based GIS are still a novel research topic and break with some traditions of established systems. The typical spatial perspective is based on geometric reference systems that include coordinates, distances, topology, and directions; while the ...
A rule-based genetic algorithm for mapping route descriptions towards map representations
When maps are not available verbal route descriptions provide a useful alternative for humans navigating in a natural environment. The semantics that emerge from such descriptions encompass several modelling abstractions that have been long studied by ...
A Comparison of String Similarity Measures for Toponym Matching
The diversity of ways in which toponyms are specified often results in mismatches between queries and the place names contained in gazetteers. Search terms that include unofficial variants of official place names, unanticipated transliterations, and ...
Extracting Spatial Information From Place Descriptions
A computational model of understanding place descriptions is a cardinal issue in multiple disciplines and provides critical applications especially in dialog-driven geolocation services. This research targets the automated extraction of spatial triplets ...
Index Terms
- Proceedings of The First ACM SIGSPATIAL International Workshop on Computational Models of Place
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IWGS 2016 workshop report: The 7th ACM SIGSPATIAL International Workshop on GeoStreaming: San Francisco, CA, USA - October 31, 2016
The ACM SIGSPATIAL International Workshop on Geostreaming (IWGS) was held for the seventh time in conjunction with the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACMGIS 2016). The workshop has been a ...
Acceptance Rates
Year | Submitted | Accepted | Rate |
---|---|---|---|
COMP '13 | 14 | 8 | 57% |
Overall | 14 | 8 | 57% |