Fuzzy Spatiotemporal Data Modeling Based on UML

With the wide application of spatiotemporal data, more and more data need to be modeled. Fuzziness is one of the important characteristics of spatiotemporal data, but most of the existing spatiotemporal data models are regarded as accurate data and most of the spatiotemporal data models are static. The purpose of this paper is to build a fuzzy spatiotemporal data model based on UML by expanding the standard modeling language UML. On this basis, the historical topological state, effective time, and transaction time are added to make the model dynamic, that is, the states of multiple times are combined together to form a timeline to represent the development process of a fuzzy spatiotemporal entity. Considering the fuzziness of data and the dynamic development of objects, the model can describe the fuzzy spatiotemporal objects better, and make the model dynamic. At the same time, the operation of the UML class diagram is added to make the model data exercisable and compared according to their own needs, which increases the practicability of the model. Finally, an example of land desertification in Alashan is given, to prove the practicability of the model constructed in this paper.

[1]  Adnan Yazici,et al.  Modeling and querying fuzzy spatiotemporal databases , 2008, Inf. Sci..

[2]  A. Govardhan,et al.  SPATIOTEMPORAL DATA MINING : ISSUES , TASKS AND APPLICATIONS , 2012 .

[3]  Martin Breunig,et al.  Application of 3D Spatio-Temporal Data Modeling, Management, and Analysis in DB4GEO , 2016 .

[4]  Lael Parrott,et al.  Three-dimensional metrics for the analysis of spatiotemporal data in ecology , 2008, Ecol. Informatics.

[5]  Haitao Cheng Modeling and querying fuzzy spatiotemporal objects , 2016, J. Intell. Fuzzy Syst..

[6]  Zongmin Ma,et al.  Fuzzy spatio‐temporal ontologies and formal construction based on fuzzy Petri nets , 2019, Comput. Intell..

[7]  Gong Yu-chang A Spatiotemporal Data Model Based on History Topology and Descriptors , 2004 .

[8]  Xiao Jing,et al.  Modeling Uncertain and Imprecise Information in Process Modeling with UML , 2008, COMAD.

[9]  Mohammad Teshnehlab,et al.  A Novel Method for Behavior Modeling in Uncertain Information Systems , 2008 .

[10]  Huayi Wu,et al.  An Event-driven Spatiotemporal Data Model (E-ST) Supporting Dynamic Expression and Simulation of Geographic Processes , 2014 .

[11]  Anders Friis-Christensen,et al.  Modeling Geographic Data Using UML , 2001 .

[12]  Ranga Raju Vatsavai,et al.  Spatiotemporal data mining in the era of big spatial data: algorithms and applications , 2012, BigSpatial '12.

[13]  Angelo Montanari,et al.  Modeling and Validating Spatio-Temporal Conceptual Schemas in XML Schema , 2007, 18th International Workshop on Database and Expert Systems Applications (DEXA 2007).

[14]  Nectaria Tryfona,et al.  Indeterminacy and Spatiotemporal Data: Basic Definitions and Case Study , 2005, GeoInformatica.

[15]  Li Yan,et al.  Reengineering Fuzzy Spatiotemporal UML Data Model Into Fuzzy Spatiotemporal XML Model , 2017, IEEE Access.

[16]  Xu Chen,et al.  Fuzzy spatiotemporal object modeling based on UML class diagram , 2017, J. Intell. Fuzzy Syst..

[17]  Sanglu Lu,et al.  Spatiotemporal data modelling and management: a survey , 2000, Proceedings 36th International Conference on Technology of Object-Oriented Languages and Systems. TOOLS-Asia 2000.

[18]  Ramadan Abdunabi,et al.  An Approach to Analyzing Temporal Properties in UML Class Models , 2013, MoDeVVa@MoDELS.

[19]  Guy De Tré,et al.  Fuzzy and uncertain spatio-temporal database models: a constraint-based approach , 2002 .