Heterogeneous Social Linked Data Integration and Sharing for Public Transportation
Solid (social linked data) technology has made significant progress in social web applications developed, such as Facebook, Twitter, and Wikipedia. Solid is based on semantic web and RDF (Resource Description Framework) technologies. Solid platforms can provide decentralized authentication, data man...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Wiley
2022-01-01
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| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2022/6338365 |
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| _version_ | 1832554974748344320 |
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| author | Wei Zhao Bing Zhou ChaoYang Zhang |
| author_facet | Wei Zhao Bing Zhou ChaoYang Zhang |
| author_sort | Wei Zhao |
| collection | DOAJ |
| description | Solid (social linked data) technology has made significant progress in social web applications developed, such as Facebook, Twitter, and Wikipedia. Solid is based on semantic web and RDF (Resource Description Framework) technologies. Solid platforms can provide decentralized authentication, data management, and developer support in the form of libraries and web applications. However, thus far, little research has been conducted on understanding the problems involved in sharing public transportation data through Solid technology. It is challenging to provide personalized and adaptable public transportation services for citizens because the public transportation data originate from different devices and are heterogeneous in nature. A novel approach is proposed in this study, in order to provide personalized sharing of public transportation data between different users through integrating and sharing these heterogeneous data. This approach not only integrates diverse data types into a uniform data type using the semantic web but also stores these data in a personal online data store and retrieves data through SPARQL on the Solid platform; these data are visualized on the web pages using Google Maps. To the best of our knowledge, we are the first to apply Solid in public transportation. Furthermore, we conduct performance tests of the new C2RMF (CSV to RDF Mapping File) algorithm and functional and non-functional tests to demonstrate the stability and effectiveness of the approach. Our results indicate the feasibility of the proposed approach in facilitating public transportation data integration and sharing through Solid and semantic web technologies. |
| format | Article |
| id | doaj-art-c53c77504b3841c5a0d7a9ece0c923a4 |
| institution | Kabale University |
| issn | 2042-3195 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Advanced Transportation |
| spelling | doaj-art-c53c77504b3841c5a0d7a9ece0c923a42025-02-03T05:49:59ZengWileyJournal of Advanced Transportation2042-31952022-01-01202210.1155/2022/6338365Heterogeneous Social Linked Data Integration and Sharing for Public TransportationWei Zhao0Bing Zhou1ChaoYang Zhang2School of Information EngineeringSchool of Information EngineeringSchool of Information EngineeringSolid (social linked data) technology has made significant progress in social web applications developed, such as Facebook, Twitter, and Wikipedia. Solid is based on semantic web and RDF (Resource Description Framework) technologies. Solid platforms can provide decentralized authentication, data management, and developer support in the form of libraries and web applications. However, thus far, little research has been conducted on understanding the problems involved in sharing public transportation data through Solid technology. It is challenging to provide personalized and adaptable public transportation services for citizens because the public transportation data originate from different devices and are heterogeneous in nature. A novel approach is proposed in this study, in order to provide personalized sharing of public transportation data between different users through integrating and sharing these heterogeneous data. This approach not only integrates diverse data types into a uniform data type using the semantic web but also stores these data in a personal online data store and retrieves data through SPARQL on the Solid platform; these data are visualized on the web pages using Google Maps. To the best of our knowledge, we are the first to apply Solid in public transportation. Furthermore, we conduct performance tests of the new C2RMF (CSV to RDF Mapping File) algorithm and functional and non-functional tests to demonstrate the stability and effectiveness of the approach. Our results indicate the feasibility of the proposed approach in facilitating public transportation data integration and sharing through Solid and semantic web technologies.http://dx.doi.org/10.1155/2022/6338365 |
| spellingShingle | Wei Zhao Bing Zhou ChaoYang Zhang Heterogeneous Social Linked Data Integration and Sharing for Public Transportation Journal of Advanced Transportation |
| title | Heterogeneous Social Linked Data Integration and Sharing for Public Transportation |
| title_full | Heterogeneous Social Linked Data Integration and Sharing for Public Transportation |
| title_fullStr | Heterogeneous Social Linked Data Integration and Sharing for Public Transportation |
| title_full_unstemmed | Heterogeneous Social Linked Data Integration and Sharing for Public Transportation |
| title_short | Heterogeneous Social Linked Data Integration and Sharing for Public Transportation |
| title_sort | heterogeneous social linked data integration and sharing for public transportation |
| url | http://dx.doi.org/10.1155/2022/6338365 |
| work_keys_str_mv | AT weizhao heterogeneoussociallinkeddataintegrationandsharingforpublictransportation AT bingzhou heterogeneoussociallinkeddataintegrationandsharingforpublictransportation AT chaoyangzhang heterogeneoussociallinkeddataintegrationandsharingforpublictransportation |