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Retrieval of Meteorological Data using Temporal Data Modeling


Affiliations
1 Computer Science and Engineering, University Institute of Engineering and Technology, Maharshi Dayanand University, Rohtak - 124001, Haryana, India
 

Objectives: In this paper, tuple time-stamping temporal model is proposed for the retrieval of meteorological data. Methods/ Statistical Analysis: This paper accentuate upon the retrieval of temporal database by extending the functionality of Postgres database system. The tuple time-stamping approach is used to query the time-varying data. Conventional databases are not capable of managing temporal data as it is a series of snapshot relations. Findings: We proposed and implemented a temporal model for the retrieval of temporal data using the meteorological dataset of a particular location in the National Capital Region of Delhi for the year 2014.The results may be used for the analysis of climate trends. Applications/Improvement: Various temporal models have been proposed and implemented by the researchers but fewer efforts have been put in the real world problems.

Keywords

Temporal Database Model, Tuple Time-stamping, Temporal Relational Algebra, Valid Time.
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  • Retrieval of Meteorological Data using Temporal Data Modeling

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Authors

Shailender Kumar
Computer Science and Engineering, University Institute of Engineering and Technology, Maharshi Dayanand University, Rohtak - 124001, Haryana, India
Rahul Rishi
Computer Science and Engineering, University Institute of Engineering and Technology, Maharshi Dayanand University, Rohtak - 124001, Haryana, India

Abstract


Objectives: In this paper, tuple time-stamping temporal model is proposed for the retrieval of meteorological data. Methods/ Statistical Analysis: This paper accentuate upon the retrieval of temporal database by extending the functionality of Postgres database system. The tuple time-stamping approach is used to query the time-varying data. Conventional databases are not capable of managing temporal data as it is a series of snapshot relations. Findings: We proposed and implemented a temporal model for the retrieval of temporal data using the meteorological dataset of a particular location in the National Capital Region of Delhi for the year 2014.The results may be used for the analysis of climate trends. Applications/Improvement: Various temporal models have been proposed and implemented by the researchers but fewer efforts have been put in the real world problems.

Keywords


Temporal Database Model, Tuple Time-stamping, Temporal Relational Algebra, Valid Time.



DOI: https://doi.org/10.17485/ijst%2F2016%2Fv9i37%2F127083