The Method of Urban Intelligent Address Coding Based on Spatiotemporal Semantics With the development of science and technology and the progress of society, urban construction in China is also developing rapidly. Intelligent address coding plays an important role in urban planning and design. Therefore, the study of smart urban address coding method can make a great contribution to the construction of a smart city. Based on the analysis of the correlation between urban intelligent address coding method and the development of smart city, this paper discusses a scientific and unified standard urban intelligent address coding method based on spatiotemporal semantics. And based on the theory of spatiotemporal semantic model and address model, an intelligent address model based on spatiotemporal semantics is designed according to the address coding standard published in recent years in China. To solve the problems of nonstandard city place name and address coding, difficulty in managing address coding data, and imprecision of address coding, thus the unified standardization and refinement of the urban address code, the intelligent management of the urban address code data and the sharing of the urban address code data are realized.

Algebraic Operations on Spatiotemporal Data Based on RDF In the context of the Semantic Web, the Resource Description Framework (RDF), a language proposed by W3C, has been used for conceptual description, data modeling, and data querying. The algebraic approach has been proven to be an effective way to process queries, and algebraic operations in RDF have been investigated extensively. However, the study of spatiotemporal RDF algebra has just started and still needs further attention. This paper aims to explore an algebraic operational framework to represent the content of spatiotemporal data and support RDF graphs. To accomplish our study, we defined a spatiotemporal data model based on RDF. On this basis, the spatiotemporal semantics and the spatiotemporal algebraic operations were investigated. We defined five types of graph algebras, and, in particular, the filter operation can filter the spatiotemporal graphs using a graph pattern. Besides this, we put forward a spatiotemporal RDF syntax specification to help users browse, query, and reason with spatiotemporal RDF graphs. The syntax specification illustrates the filter rules, which contribute to capturing the spatiotemporal RDF semantics and provide a number of advanced functions for building data queries.