作者: Adegboyega Ojo , Oladipupo Sennaike
DOI: 10.1007/978-3-030-36987-3_6
关键词: Self organising maps 、 Value (mathematics) 、 Government 、 Open data 、 Data science 、 Knowledge graph 、 Context (language use) 、 Computer science
摘要: We have witnessed about a decade’s effort in opening up government institutions around the world by making data their services, performance and programmes publicly available on open portals. While these efforts yielded some economic social value particularly context of city ecosystems, there is general acknowledgment that promises are far from being realised. A major barrier to better exploitation difficulty finding datasets interests those high This article describes how implicit relatedness can be revealed generating knowledge graph over catalogues. Specifically, we generate based self-organizing map (SOM) constructed an catalogue. Following this, show generated enables characterisation sociometric profiles as well dataset recommendation.