Conceptual Spaces: The Geometry of Thought
Conceptual Spaces: The Geometry of Thought
On Clustering Validation Techniques
Journal of Intelligent Information Systems
Using GPS to learn significant locations and predict movement across multiple users
Personal and Ubiquitous Computing
Determining the Number of Clusters/Segments in Hierarchical Clustering/Segmentation Algorithms
ICTAI '04 Proceedings of the 16th IEEE International Conference on Tools with Artificial Intelligence
Georeferencing: The Geographic Associations of Information (Digital Libraries and Electronic Publishing)
Discovering personally meaningful places: An interactive clustering approach
ACM Transactions on Information Systems (TOIS)
IEEE Pervasive Computing
Semantic categories underlying the meaning of 'place'
COSIT'07 Proceedings of the 8th international conference on Spatial information theory
A linguistic ontology of space for natural language processing
Artificial Intelligence
Spatial interpretations of preposition "at"
Proceedings of the 1st ACM SIGSPATIAL International Workshop on Crowdsourced and Volunteered Geographic Information
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People communicate about locations using place descriptions. Despite the growth of mobile location- and context-aware applications, the automatic interpretation of place descriptions remains a challenge. Currently no software tools exist that are capable of understanding complex verbal spatial language. This paper explores a corpus of place descriptions collected through crowdsourcing mechanisms within a mobile game. It introduces a general classification scheme to annotate place descriptions according to different characteristic parameters and uses this scheme to demonstrate the existence of certain clusters of prevalent types of place descriptions in human communication. Research outcomes contribute to the common understanding of the way people refer to places, which is essential to support the development of intelligent tools and location based technologies.