Open Data portals and such for cities are increasingly popular for local goverment to publish and communicate data to the public. While the dedicated interface makes it easy for data owners to upload data, it lacks comprehensive means to connect relavant data for a particular topic of interest. As datasets are maintained by individuals, they often lack of conherent schema and provide different levels of detail in the description. As a result, the more data an open data portal has, the harder it gets for interested users to identify and use the data. In this project, we aim to start bridging the gaps between diverse data sets and their usability to the public. Our aims include creating an interface to connect and search an open data portal over mulitple cities, identifying data related to specific topic of interests, and generate both spatial and knowledge maps to show how the data is connected and distributed.
Junfeng Jiao (Principal Investigator, Architecture), Weijia Xu (Texas Advanced Computing Center), Kijin Seong (Urban and Regional Planning), Yingying Xu (Department of Computer Science), Sean Henry Lewis (Department of Mathematics)