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Indexing and Query Processing Techniques in Spatio-Temporal Data


Affiliations
1 Department of Computer Science and Engineering, Manonmaniam Sundaranar University, India
2 Department of Computer Science and Engineering, Pondicherry Engineering College, India
     

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Indexing and query processing is an emerging research field in spatio - temporal data. Most of the real-time applications such as location based services, fleet management, traffic prediction and radio frequency identification and sensor networks are based on spatio-temporal indexing and query processing. All the indexing and query processing applications is any one of the forms, such as spatio index access and supporting queries or spatio-temporal indexing method and support query or temporal dimension, while in spatial data it is considered as the second priority. In this paper, give the survey of the various uncertain indexing and query processing techniques. Most of the existing survey works on spatio-temporal are based on indexing methods and query processing, but presented separately. Both the indexing and querying are related, hence state - of - art of both the indexing and query processing techniques are considered together. This paper gives the details of spatio-temporal data classification, various types of indexing methods, query processing, application areas and research direction of spatio-temporal indexing and query processing.

Keywords

Uncertain Data, Spatio-Temporal Index, Spatio-Temporal Queries, Skyline Query, Top-K Query, Nearest-Neighbor Query.
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  • Indexing and Query Processing Techniques in Spatio-Temporal Data

Abstract Views: 183  |  PDF Views: 1

Authors

A. John
Department of Computer Science and Engineering, Manonmaniam Sundaranar University, India
M. Sugumaran
Department of Computer Science and Engineering, Pondicherry Engineering College, India
R. S. Rajesh
Department of Computer Science and Engineering, Manonmaniam Sundaranar University, India

Abstract


Indexing and query processing is an emerging research field in spatio - temporal data. Most of the real-time applications such as location based services, fleet management, traffic prediction and radio frequency identification and sensor networks are based on spatio-temporal indexing and query processing. All the indexing and query processing applications is any one of the forms, such as spatio index access and supporting queries or spatio-temporal indexing method and support query or temporal dimension, while in spatial data it is considered as the second priority. In this paper, give the survey of the various uncertain indexing and query processing techniques. Most of the existing survey works on spatio-temporal are based on indexing methods and query processing, but presented separately. Both the indexing and querying are related, hence state - of - art of both the indexing and query processing techniques are considered together. This paper gives the details of spatio-temporal data classification, various types of indexing methods, query processing, application areas and research direction of spatio-temporal indexing and query processing.

Keywords


Uncertain Data, Spatio-Temporal Index, Spatio-Temporal Queries, Skyline Query, Top-K Query, Nearest-Neighbor Query.