| XUE Cunjin,DONG Qing,XIE Jiong. 2012. Marine spatio-temporal process semantics and its applications-taking the El Niño Southern Oscilation process and Chinese rainfall anomaly as an example. Acta Oceanologica Sinica, (2):16－24 |
| Marine spatio-temporal process semantics and its applications-taking the El Niño Southern Oscilation process and Chinese rainfall anomaly as an example |
| Marine spatio-temporal process semantics and its applications-taking the El Niño Southern Oscilation process and Chinese rainfall anomaly as an example |
| Received:March 05, 2010 Revised:November 07, 2011 |
| DOI：10.1007/s13131-012-0188-x |
| Key words:marine process semantics hierarchical abstraction and inclusion by level ENSO process rainfall anomalies |
| 中文关键词: marine process semantics hierarchical abstraction and inclusion by level ENSO process rainfall anomalies |
| 基金项目:The National Basic Research Program of China under contract No. 2009CB723903; the National Natural Science Foundation of China under contract Nos 40901194 and 40801162; the Director Foundation of CEODE, CAS, under contract No. Y2ZZ06101B. |
| Author Name | Affiliation | E-mail | | XUE Cunjin | Key Laboratory of Digital Earth Science, Center for Earth Observation and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China | cjxue@ceode.ac.cn | | DONG Qing | Key Laboratory of Digital Earth Science, Center for Earth Observation and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China | | | XIE Jiong | State Key Laboratory of Resource and Environment Information System, Institute of Geographical Science and Natural Resources, Chinese Academy of Sciences, Beijing 100101, China | |
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| Abstract: |
| Spatio-temporal semantics based on "object views" or "event views" has few abilities to represent and model the continuity and gradual oceanic phenomena or objects, which seriously limits the specific marine applications and knowledge discovery and data mining, so this paper proposes a hierarchical abstraction semantics with "marine spatio-temporal process→life span phases→evolution sequences→state units" and process objects included by level with "marine process objects→phase objects→sequence object→state objects" with the oceanic process characteristics into the marine process semantics. In addition, this paper designs the storage and representation of marine process objects using the backus normal forms (BNF) and abstract data type (ADT). Base on El Niño Southern Oscilation (ENSO) index and Chinese rain gauging station data, this paper also gives a case of study. The spatio-temporal analysis between ENSO process and Chinese rainfall anomalies shows that the marine spatio-temporal semantics not only can illustrate the spatial distribution of Chinese rainfall anomalies in different time scales at ENSO process, life span phases and state units, but also analyze the dynamic changes of Chinese rainfall anomalies in different life span phases or state units within ENSO evolution. |
| 中文摘要: |
| Spatio-temporal semantics based on "object views" or "event views" has few abilities to represent and model the continuity and gradual oceanic phenomena or objects, which seriously limits the specific marine applications and knowledge discovery and data mining, so this paper proposes a hierarchical abstraction semantics with "marine spatio-temporal process→life span phases→evolution sequences→state units" and process objects included by level with "marine process objects→phase objects→sequence object→state objects" with the oceanic process characteristics into the marine process semantics. In addition, this paper designs the storage and representation of marine process objects using the backus normal forms (BNF) and abstract data type (ADT). Base on El Niño Southern Oscilation (ENSO) index and Chinese rain gauging station data, this paper also gives a case of study. The spatio-temporal analysis between ENSO process and Chinese rainfall anomalies shows that the marine spatio-temporal semantics not only can illustrate the spatial distribution of Chinese rainfall anomalies in different time scales at ENSO process, life span phases and state units, but also analyze the dynamic changes of Chinese rainfall anomalies in different life span phases or state units within ENSO evolution. |
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