DocumentCode :
189037
Title :
Modelling Metropolitan Activity through Abductive Reasoning on Geographic Space
Author :
Pileggi, Salvatore F. ; Amor, Robert
Author_Institution :
Dept. of Comput. Sci., Univ. of Auckland, Auckland, New Zealand
fYear :
2014
fDate :
11-13 Sept. 2014
Firstpage :
783
Lastpage :
788
Abstract :
This paper proposes a novel approach to define geographic space focusing on the integration of a common geographical specification of the space with complex semantics aimed at a more active role of the space inside information processing tasks. Generic data (called Activity) is processed in the space model in order to retrieve a well defined behaviour of the parameters of interest in the target spaces. A domain-specific semantic understanding of the whole data ecosystem allows one to overcome unrealistic assumptions to switch to an effective reasoning on the space.
Keywords :
Big Data; data analysis; geographic information systems; inference mechanisms; abductive reasoning; domain-specific semantic understanding; geographic space; geographical specification; information processing task; metropolitan activity modelling; whole data ecosystem; Cognition; Complexity theory; Computational modeling; Context; Data models; Ecosystems; Semantics; Behaviour Modelling; Big Data; Geographic Information Systems; Semantic Reasoning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer and Information Technology (CIT), 2014 IEEE International Conference on
Conference_Location :
Xi´an
Type :
conf
DOI :
10.1109/CIT.2014.100
Filename :
6984751
Link To Document :
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