Big POI data integration with Linked Data technologies

S. Athanasiou, G. Giorgos, G. Damien, K. Nikos, L. Jens, A.-C. {Ngonga Ngomo}, P. Kostas, M. Ahmed} Sherif, D. Skoutas, in: International Conference on Extending Database Technology 2019, EDBT19, 2019.

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Athanasiou, Spiros; Giorgos, Giannopoulos; Damien, Graux; Nikos, Karagiannakis; Jens, Lehmann; Ngomo}, Axel-Cyrille {Ngonga; Kostas, Patroumpas; Ahmed} Sherif, Mohamed; Skoutas, Dimitrios
Abstract
Point of Interest (POI) data constitute the cornerstone of any application, service or product even remotely related to our physical surroundings. From navigation applications to social networks, tourism, and logistics, we use POI data to search, communicate, decide and plan our actions. POIs are semantically diverse and spatio-temporally evolving entities, having geographical, temporal and thematic relations. Currently, integrating POI data to increase their coverage, timeliness, accuracy and value is a resource-intensive and mostly manual process, with no specialized software available to address the specific challenges of this task. In this paper, we present an integrated toolkit for transforming, linking, fusing and enriching POI data, and extracting additional value from them. In particular, we demonstrate how Linked Data technologies can address the limitations, gaps and challenges of the current landscape in Big POI data integration. We have built a prototype application that enables users to define, manage and execute scalable POI data integration workflows built on top of state-of-the-art software for geospatial Linked Data. The application abstracts and hides away the underlying complexity, automates quality-assured integration, scales efficiently for world-scale integration tasks and lowers the entry barrier for end-users. Validated against real-world POI datasets in several application domains, our system has shown great potential to address the requirements and needs of cross-sector, cross-border and cross-lingual integration of Big POI data.
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International Conference on Extending Database Technology 2019, EDBT19
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Athanasiou S, Giorgos G, Damien G, et al. Big POI data integration with Linked Data technologies. In: International Conference on Extending Database Technology 2019, EDBT19. ; 2019.
Athanasiou, S., Giorgos, G., Damien, G., Nikos, K., Jens, L., Ngomo}, A.-C. {Ngonga, Kostas, P., Ahmed} Sherif, M., & Skoutas, D. (2019). Big POI data integration with Linked Data technologies. International Conference on Extending Database Technology 2019, EDBT19.
@inproceedings{Athanasiou_Giorgos_Damien_Nikos_Jens_Ngomo}_Kostas_Ahmed} Sherif_Skoutas_2019, title={Big POI data integration with Linked Data technologies}, booktitle={International Conference on Extending Database Technology 2019, EDBT19}, author={Athanasiou, Spiros and Giorgos, Giannopoulos and Damien, Graux and Nikos, Karagiannakis and Jens, Lehmann and Ngomo}, Axel-Cyrille {Ngonga and Kostas, Patroumpas and Ahmed} Sherif, Mohamed and Skoutas, Dimitrios}, year={2019} }
Athanasiou, Spiros, Giannopoulos Giorgos, Graux Damien, Karagiannakis Nikos, Lehmann Jens, Axel-Cyrille {Ngonga Ngomo}, Patroumpas Kostas, Mohamed Ahmed} Sherif, and Dimitrios Skoutas. “Big POI Data Integration with Linked Data Technologies.” In International Conference on Extending Database Technology 2019, EDBT19, 2019.
S. Athanasiou et al., “Big POI data integration with Linked Data technologies,” 2019.
Athanasiou, Spiros, et al. “Big POI Data Integration with Linked Data Technologies.” International Conference on Extending Database Technology 2019, EDBT19, 2019.

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