Improving Urban Mobility by Defining a Smart Data Integration Platform (original) (raw)
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This paper presents a novel knowledge representation framework for smart city planning and management that enables the semantic integration of heterogeneous urban data from diverse sources. Currently, the combination of information across city agencies is cumbersome, as the increasingly available datasets are stored in disparate data silos, using different models and schemas for their description. To overcome this interoperability barrier, the presented framework employs a modular and scalable system architecture, comprising a comprehensive ontology capable of integrating data from various sectors within a city, a web ontology browser, and a web-based knowledge graph for online data discovery, mapping, and sharing across stakeholders. Linked Data, Semantic Web technologies, and ontology matching techniques are key to the framework's implementation. The paper ultimately showcases an application example, where the framework is used as a semantic enrichment mechanism in a platform for urban analytics, focusing particularly on human-generated data integration.
Harnessing Mobility Data in Cities: A Case Study from the Bergen Region
2018
Smart cities attempt to use big data, machine learning, and other topical information and communication techniques (ICTs) to improve energy-consumption, mobility, waste management, and other crucial city functions. Many international research projects have been reported but, so far, few of them have addressed mobility in Norwegian cities specifically. This paper reports on a pre-study that focusses on mobility-related data sources in the Bergen region and discusses the needs and opportunities they present. We have identified central actors and the data they own, discussed opportunities and challenges with central stakeholders, developed a taxonomy of data types, and reviewed available ontologies for data integration. We are currently exploring a big-data architecture for harvesting, integrating, and making open mobility data more ready for use through a single-entry point.