SLIPO: Large-Scale Data Integration for Points of Interest Full text

Spiros Athanasiou, Michail Alexakis, Giorgos Giannopoulos, Nikos Karagiannakis, Yannis Kouvaras, Pantelis Mitropoulos, Kostas Patroumpas, Dimitrios Skoutas
22nd International Conference on Extending Database Technology (EDBT) 2019: 574-577
Abstract. Points of Interest (POIs) are indispensable to many modern applications, services, and products. From navigation applications, to social networks, tourism, or logistics, we use POIs to search, communicate, decide, and plan our actions. In this demonstration, we showcase SLIPO, a system prototype that addresses the limitations, gaps and challenges in integrating, enriching, and sharing POI data. Leveraging the Linked Data paradigm to effectively extract the most out of open, crowdsourced or proprietary real-world data sources, SLIPO tackles their inherent spatial, temporal, or thematic ambiguities in POI data. Hiding all Linked Data complexities in the background, SLIPO orchestrates state-of-the-art software customized for POI data integration, enabling stakeholders to increase the value of their data and relieving them from labor-intensive, manual, error-prone, and costly updates.