QB4MobOLAP: A Vocabulary Extension for Mobility OLAP on the Semantic Web
The accessibility of devices that track the positions of moving objects has attracted many researchers in Mobility Online Analytical Processing (Mobility OLAP). Mobility OLAP makes use of trajectory data warehousing techniques, which typically include a path of moving objects at a particular point i...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-09-01
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| Series: | Algorithms |
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| Online Access: | https://www.mdpi.com/1999-4893/14/9/265 |
| _version_ | 1797520541947527168 |
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| author | Irya Wisnubhadra Safiza Kamal Baharin Nurul A. Emran Djoko Budiyanto Setyohadi |
| author_facet | Irya Wisnubhadra Safiza Kamal Baharin Nurul A. Emran Djoko Budiyanto Setyohadi |
| author_sort | Irya Wisnubhadra |
| collection | DOAJ |
| description | The accessibility of devices that track the positions of moving objects has attracted many researchers in Mobility Online Analytical Processing (Mobility OLAP). Mobility OLAP makes use of trajectory data warehousing techniques, which typically include a path of moving objects at a particular point in time. The Semantic Web (SW) users have published a large number of moving object datasets that include spatial and non-spatial data. These data are available as open data and require advanced analysis to aid in decision making. However, current SW technologies support advanced analysis only for multidimensional data warehouses and Online Analytical Processing (OLAP) over static spatial and non-spatial SW data. The existing technology does not support the modeling of moving object facts, the creation of basic mobility analytical queries, or the definition of fundamental operators and functions for moving object types. This article introduces the QB4MobOLAP vocabulary, which enables the analysis of mobility data stored in RDF cubes. This article defines Mobility OLAP operators and SPARQL user-defined functions. As a result, QB4MobOLAP vocabulary and the Mobility OLAP operators are evaluated by applying them to a practical use case of transportation analysis involving 8826 triples consisting of approximately 7000 fact triples. Each triple contains nearly 1000 temporal data points (equivalent to 7 million records in conventional databases). The execution of six pertinent spatiotemporal analytics query samples results in a practical, simple model with expressive performance for the enabling of executive decisions on transportation analysis. |
| first_indexed | 2024-03-10T07:58:16Z |
| format | Article |
| id | doaj.art-9d1d0322956842cb8147eae840e8f742 |
| institution | Directory Open Access Journal |
| issn | 1999-4893 |
| language | English |
| last_indexed | 2024-03-10T07:58:16Z |
| publishDate | 2021-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Algorithms |
| spelling | doaj.art-9d1d0322956842cb8147eae840e8f7422023-11-22T11:40:21ZengMDPI AGAlgorithms1999-48932021-09-0114926510.3390/a14090265QB4MobOLAP: A Vocabulary Extension for Mobility OLAP on the Semantic WebIrya Wisnubhadra0Safiza Kamal Baharin1Nurul A. Emran2Djoko Budiyanto Setyohadi3Faculty of Information and Communication Technology, Universiti Teknikal Malaysia, Melaka 76100, MalaysiaFaculty of Information and Communication Technology, Universiti Teknikal Malaysia, Melaka 76100, MalaysiaFaculty of Information and Communication Technology, Universiti Teknikal Malaysia, Melaka 76100, MalaysiaDepartment of Informatics, Universitas Atma Jaya Yogyakarta, Yogyakarta 55281, IndonesiaThe accessibility of devices that track the positions of moving objects has attracted many researchers in Mobility Online Analytical Processing (Mobility OLAP). Mobility OLAP makes use of trajectory data warehousing techniques, which typically include a path of moving objects at a particular point in time. The Semantic Web (SW) users have published a large number of moving object datasets that include spatial and non-spatial data. These data are available as open data and require advanced analysis to aid in decision making. However, current SW technologies support advanced analysis only for multidimensional data warehouses and Online Analytical Processing (OLAP) over static spatial and non-spatial SW data. The existing technology does not support the modeling of moving object facts, the creation of basic mobility analytical queries, or the definition of fundamental operators and functions for moving object types. This article introduces the QB4MobOLAP vocabulary, which enables the analysis of mobility data stored in RDF cubes. This article defines Mobility OLAP operators and SPARQL user-defined functions. As a result, QB4MobOLAP vocabulary and the Mobility OLAP operators are evaluated by applying them to a practical use case of transportation analysis involving 8826 triples consisting of approximately 7000 fact triples. Each triple contains nearly 1000 temporal data points (equivalent to 7 million records in conventional databases). The execution of six pertinent spatiotemporal analytics query samples results in a practical, simple model with expressive performance for the enabling of executive decisions on transportation analysis.https://www.mdpi.com/1999-4893/14/9/265Mobility Online Analytical Processingmoving objectsvocabularySPARQLRDF |
| spellingShingle | Irya Wisnubhadra Safiza Kamal Baharin Nurul A. Emran Djoko Budiyanto Setyohadi QB4MobOLAP: A Vocabulary Extension for Mobility OLAP on the Semantic Web Algorithms Mobility Online Analytical Processing moving objects vocabulary SPARQL RDF |
| title | QB4MobOLAP: A Vocabulary Extension for Mobility OLAP on the Semantic Web |
| title_full | QB4MobOLAP: A Vocabulary Extension for Mobility OLAP on the Semantic Web |
| title_fullStr | QB4MobOLAP: A Vocabulary Extension for Mobility OLAP on the Semantic Web |
| title_full_unstemmed | QB4MobOLAP: A Vocabulary Extension for Mobility OLAP on the Semantic Web |
| title_short | QB4MobOLAP: A Vocabulary Extension for Mobility OLAP on the Semantic Web |
| title_sort | qb4mobolap a vocabulary extension for mobility olap on the semantic web |
| topic | Mobility Online Analytical Processing moving objects vocabulary SPARQL RDF |
| url | https://www.mdpi.com/1999-4893/14/9/265 |
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