Modeling and Querying Multi-dimensional Moving Objects
Motivated by the problem that the existing spatio-temporal data models do not fully represent moving objects, we design a multi-dimensional data model supporting multiple attributes, static and dynamic attributes. We design operators to manulate attributes by defining both syntax and semantics. The...
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| Format: | Article |
| Language: | zho |
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Harbin University of Science and Technology Publications
2022-10-01
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| Series: | Journal of Harbin University of Science and Technology |
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| Online Access: | https://hlgxb.hrbust.edu.cn/#/digest?ArticleID=2137 |
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| _version_ | 1849316536050778112 |
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| author | SHEN Xiang-hong WU Bing-ya FANG Cheng-long XU Jian-qiu LIU Meng-yi |
| author_facet | SHEN Xiang-hong WU Bing-ya FANG Cheng-long XU Jian-qiu LIU Meng-yi |
| author_sort | SHEN Xiang-hong |
| collection | DOAJ |
| description | Motivated by the problem that the existing spatio-temporal data models do not fully represent moving objects, we design a multi-dimensional data model supporting multiple attributes, static and dynamic attributes. We design operators to manulate attributes by defining both syntax and semantics. The model is combined with spatio-temporal data model to enhance the capability of moving objects databases. We futher develop an index structure as well as the query algorithm to efficiently answer range queries over mult-dimensional moving objects. Each query defines both spatio-temporal and attribute parameters. We present the implentnation of a prototype system for dealing with multi-dimensional moving objects and use real moving objects data sets and synthetic attributes to conduct the experimental evaluation. The results demonstrate that (i) the proposed model well supports querying multi-dimensional moving objects, and (ii) the performance of our solution achieves more than one order of magnitude over alternative methods under the setting of 1 million moving objects with 400 attribute values. |
| format | Article |
| id | doaj-art-149fe07cb0e440d5a1d7ff0dfc577811 |
| institution | Kabale University |
| issn | 1007-2683 |
| language | zho |
| publishDate | 2022-10-01 |
| publisher | Harbin University of Science and Technology Publications |
| record_format | Article |
| series | Journal of Harbin University of Science and Technology |
| spelling | doaj-art-149fe07cb0e440d5a1d7ff0dfc5778112025-08-20T03:51:43ZzhoHarbin University of Science and Technology PublicationsJournal of Harbin University of Science and Technology1007-26832022-10-012705475510.15938/j.jhust.2022.05.007Modeling and Querying Multi-dimensional Moving ObjectsSHEN Xiang-hong0WU Bing-ya1FANG Cheng-long2XU Jian-qiu3LIU Meng-yi4Level Data Technology Co. LTD, Nanjing 210000, ChinaCollege of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, ChinaCollege of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, ChinaLevel Data Technology Co. LTD, Nanjing 210000, ChinaLevel Data Technology Co. LTD, Nanjing 210000, ChinaMotivated by the problem that the existing spatio-temporal data models do not fully represent moving objects, we design a multi-dimensional data model supporting multiple attributes, static and dynamic attributes. We design operators to manulate attributes by defining both syntax and semantics. The model is combined with spatio-temporal data model to enhance the capability of moving objects databases. We futher develop an index structure as well as the query algorithm to efficiently answer range queries over mult-dimensional moving objects. Each query defines both spatio-temporal and attribute parameters. We present the implentnation of a prototype system for dealing with multi-dimensional moving objects and use real moving objects data sets and synthetic attributes to conduct the experimental evaluation. The results demonstrate that (i) the proposed model well supports querying multi-dimensional moving objects, and (ii) the performance of our solution achieves more than one order of magnitude over alternative methods under the setting of 1 million moving objects with 400 attribute values. https://hlgxb.hrbust.edu.cn/#/digest?ArticleID=2137moving objectsmulti-dimensional datadata modeldata integration |
| spellingShingle | SHEN Xiang-hong WU Bing-ya FANG Cheng-long XU Jian-qiu LIU Meng-yi Modeling and Querying Multi-dimensional Moving Objects Journal of Harbin University of Science and Technology moving objects multi-dimensional data data model data integration |
| title | Modeling and Querying Multi-dimensional Moving Objects |
| title_full | Modeling and Querying Multi-dimensional Moving Objects |
| title_fullStr | Modeling and Querying Multi-dimensional Moving Objects |
| title_full_unstemmed | Modeling and Querying Multi-dimensional Moving Objects |
| title_short | Modeling and Querying Multi-dimensional Moving Objects |
| title_sort | modeling and querying multi dimensional moving objects |
| topic | moving objects multi-dimensional data data model data integration |
| url | https://hlgxb.hrbust.edu.cn/#/digest?ArticleID=2137 |
| work_keys_str_mv | AT shenxianghong modelingandqueryingmultidimensionalmovingobjects AT wubingya modelingandqueryingmultidimensionalmovingobjects AT fangchenglong modelingandqueryingmultidimensionalmovingobjects AT xujianqiu modelingandqueryingmultidimensionalmovingobjects AT liumengyi modelingandqueryingmultidimensionalmovingobjects |