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Full-Text Articles in Social and Behavioral Sciences
A Context-Sensitive Conceptual Framework For Activity Modeling, Rahul Deb Das, Stephan Winter
A Context-Sensitive Conceptual Framework For Activity Modeling, Rahul Deb Das, Stephan Winter
Journal of Spatial Information Science
Human motion trajectories, however captured, provide a rich spatiotemporal data source for human activity recognition, and the rich literature in motion trajectory analysis provides the tools to bridge the gap between this data and its semantic interpretation. But activity is an ambiguous term across research communities. For example, in urban transport research activities are generally characterized around certain locations assuming the opportunities and resources are present in that location, and traveling happens between these locations for activity participation, i.e., travel is not an activity, rather a mean to overcome spatial constraints. In contrast, in human-computer interaction (HCI) research and in …
Approaching The Notion Of Place By Contrast, Stephan Winter, Christian Freksa
Approaching The Notion Of Place By Contrast, Stephan Winter, Christian Freksa
Journal of Spatial Information Science
Place is an elusive notion in geographic information science. This paper presents an approach to capture the notion of place by contrast. This approach is developed from cognitive concepts and the language that is used to describe places. It is complementary to those of coordinate-based systems that dominate contemporary geographic information systems. Accordingly the approach is aimed at explaining structures in verbal place descriptions and at localizing objects without committing to geometrically specified positions in space. We will demonstrate how locations can be identified by place names that are not crisply defined in terms of geometric regions. Capturing the human …
The Semantics Of Similarity In Geographic Information Retrieval, Krzysztof Janowicz, Martin Raubal, Werner Kuhn
The Semantics Of Similarity In Geographic Information Retrieval, Krzysztof Janowicz, Martin Raubal, Werner Kuhn
Journal of Spatial Information Science
Similarity measures have a long tradition in fields such as information retrieval artificial intelligence and cognitive science. Within the last years these measures have been extended and reused to measure semantic similarity; i.e. for comparing meanings rather than syntactic differences. Various measures for spatial applications have been developed but a solid foundation for answering what they measure; how they are best applied in information retrieval; which role contextual information plays; and how similarity values or rankings should be interpreted is still missing. It is therefore difficult to decide which measure should be used for a particular application or to compare …