Converting Spatiotemporal Data Among Multiple Granularity Systems

Muhao Chen

UCLA Henry Samueli School of Engineering and Applied Science

RP-ID  :  150001

学科分类：计算机科学（综合）

美国|英语

来源: UCLA Computer Science Technical Reports Database

【 摘 要 】

Spatiotemporal data are often expressed in terms of granularities in a granularity system to indicate the measurement units of the data. A granularity system usually consists of a set of granularities that share a “common refined granularity” (CRG) to ensure granular comparison and data conversion within the system. However, if da-ta from multiple granularity systems need to be used in a unified application, it is necessary to extend the data conversion and com-parison within a granularity system to those for multiple granularity systems. This paper proposes a formal framework to enable such an extension. The framework involves essentially some precondi-tions and properties for verifying existence of a CRG and unifying conversions of incongruous semantics, and supports the approach to integrate multiple systems into one processing granular interop-eration across systems just like in a single system. Quantification of uncertainty in granularity conversion is also considered to improve the precision of granular comparison.