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 data from multiple granularity systems need to be used in a unified application, it is necessary to extend the data conversion and comparison 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 preconditions 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 interoperation across systems just like in a single system. Quantification of uncertainty in granularity conversion is also considered to improve the precision of granular comparison.

A Framework for Managing Temporal Dimensions in Archaeological Data

BELUSSI, Alberto;MIGLIORINI, Sara
2014

Abstract

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 data from multiple granularity systems need to be used in a unified application, it is necessary to extend the data conversion and comparison 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 preconditions 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 interoperation across systems just like in a single system. Quantification of uncertainty in granularity conversion is also considered to improve the precision of granular comparison.
9781479942275
temporal network; temporal vagueness; Archaeological data modelling
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11562/787433
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