Marine spatio-temporal process semantics and its applications-taking the El Nino Southern Oscilation process and Chinese rainfall anomaly as an example
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...
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| Veröffentlicht in: | Acta oceanologica Sinica 2012-03, Vol.31 (2), p.16-24 |
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| creator | Xue, Cunjin Dong, Qing Xie, Jiong |
| description | 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 E1 Nifio 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. |
| doi_str_mv | 10.1007/s13131-012-0188-x |
| format | Article |
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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 E1 Nifio 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.</description><identifier>ISSN: 0253-505X</identifier><identifier>EISSN: 1869-1099</identifier><identifier>DOI: 10.1007/s13131-012-0188-x</identifier><language>eng</language><publisher>Heidelberg: The Chinese Society of Oceanography</publisher><subject>Anomalies ; Canonical forms ; Climatology ; Continuity (mathematics) ; Data analysis ; Data mining ; Discharge measurement ; Earth and Environmental Science ; Earth Sciences ; Ecology ; El Nino ; El Nino phenomena ; Engineering Fluid Dynamics ; Environmental Chemistry ; Evolution ; Gaging stations ; Life span ; Longevity ; Marine ; Marine & Freshwater Sciences ; Oceanography ; Phase objects ; Phases ; Precipitation ; Rainfall ; Semantics ; Southern Oscillation ; Spatial distribution ; Stream discharge ; 中国 ; 厄尔尼诺 ; 应用 ; 振动性 ; 时空语义 ; 海洋现象 ; 过程语义 ; 降水异常</subject><ispartof>Acta oceanologica Sinica, 2012-03, Vol.31 (2), p.16-24</ispartof><rights>The Chinese Society of Oceanography and Springer-Verlag Berlin Heidelberg 2012</rights><rights>The Chinese Society of Oceanography and Springer-Verlag Berlin Heidelberg 2012.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c403t-9f1d4e263d907db71e0bbab12593730ddd3e0e710c1d824862fb7126f95980713</citedby><cites>FETCH-LOGICAL-c403t-9f1d4e263d907db71e0bbab12593730ddd3e0e710c1d824862fb7126f95980713</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Uhttp://image.cqvip.com/vip1000/qk/86790X/86790X.jpg</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s13131-012-0188-x$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2919606478?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>314,776,780,21369,27903,27904,33723,33724,41467,42536,43784,51297</link.rule.ids></links><search><creatorcontrib>Xue, Cunjin</creatorcontrib><creatorcontrib>Dong, Qing</creatorcontrib><creatorcontrib>Xie, Jiong</creatorcontrib><title>Marine spatio-temporal process semantics and its applications-taking the El Nino Southern Oscilation process and Chinese rainfall anomaly as an example</title><title>Acta oceanologica Sinica</title><addtitle>Acta Oceanol. Sin</addtitle><addtitle>Acta Oceanologica Sinica</addtitle><description>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 E1 Nifio 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.</description><subject>Anomalies</subject><subject>Canonical forms</subject><subject>Climatology</subject><subject>Continuity (mathematics)</subject><subject>Data analysis</subject><subject>Data mining</subject><subject>Discharge measurement</subject><subject>Earth and Environmental Science</subject><subject>Earth Sciences</subject><subject>Ecology</subject><subject>El Nino</subject><subject>El Nino phenomena</subject><subject>Engineering Fluid Dynamics</subject><subject>Environmental Chemistry</subject><subject>Evolution</subject><subject>Gaging stations</subject><subject>Life span</subject><subject>Longevity</subject><subject>Marine</subject><subject>Marine & Freshwater Sciences</subject><subject>Oceanography</subject><subject>Phase objects</subject><subject>Phases</subject><subject>Precipitation</subject><subject>Rainfall</subject><subject>Semantics</subject><subject>Southern Oscillation</subject><subject>Spatial distribution</subject><subject>Stream discharge</subject><subject>中国</subject><subject>厄尔尼诺</subject><subject>应用</subject><subject>振动性</subject><subject>时空语义</subject><subject>海洋现象</subject><subject>过程语义</subject><subject>降水异常</subject><issn>0253-505X</issn><issn>1869-1099</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNp9kV1rFDEUhgex4Fr9Ad5FvPEm9SSZfF3KUj-g2ou24F3IzmR2UzPJNJmF7S_x75rpliKCEsIhOc_7ngNv07whcEYA5IdCWD0YCK1XKXx41qyIEhoT0Pp5swLKGebAf7xoXpZyC8AJZ3LV_Ppms48OlcnOPuHZjVPKNqApp86VgoobbZx9V5CNPfJzrdMUfLfQseDZ_vRxi-adQ-cBffcxoau0r88c0WXpfHjgntwWj_WuzisOZevjYEOon2m04R7ZpY_cwY5TcK-ak9os7vVjPW1uPp1fr7_gi8vPX9cfL3DXApuxHkjfOipYr0H2G0kcbDZ2QyjXTDLo-545cJJAR3pFWyXoUCEqBs21AknYafP-6FtXvNu7MpvRl86FYKNL-2IIEKkVo1xU9N1f6G3a51i3M1QTLUC0Uv2Pql5UCtUyqBQ5Ul1OpWQ3mCn70eb7CpklUHMM1FSJWQI1h6qhR02pbNy6_Kfzv0VvHwftUtzeVd3TpJYIxiUH9huVTq_h</recordid><startdate>20120301</startdate><enddate>20120301</enddate><creator>Xue, Cunjin</creator><creator>Dong, Qing</creator><creator>Xie, Jiong</creator><general>The Chinese Society of Oceanography</general><general>Springer Nature B.V</general><scope>2RA</scope><scope>92L</scope><scope>CQIGP</scope><scope>W94</scope><scope>~WA</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7ST</scope><scope>7TG</scope><scope>7TN</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>GNUQQ</scope><scope>H96</scope><scope>HCIFZ</scope><scope>KL.</scope><scope>L.G</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope><scope>SOI</scope><scope>8FD</scope><scope>8FE</scope><scope>8FH</scope><scope>BBNVY</scope><scope>FR3</scope><scope>H95</scope><scope>H97</scope><scope>H98</scope><scope>H99</scope><scope>L.F</scope><scope>LK8</scope><scope>M7P</scope><scope>P64</scope></search><sort><creationdate>20120301</creationdate><title>Marine spatio-temporal process semantics and its applications-taking the El Nino Southern Oscilation process and Chinese rainfall anomaly as an example</title><author>Xue, Cunjin ; 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Sin</stitle><addtitle>Acta Oceanologica Sinica</addtitle><date>2012-03-01</date><risdate>2012</risdate><volume>31</volume><issue>2</issue><spage>16</spage><epage>24</epage><pages>16-24</pages><issn>0253-505X</issn><eissn>1869-1099</eissn><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 E1 Nifio 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.</abstract><cop>Heidelberg</cop><pub>The Chinese Society of Oceanography</pub><doi>10.1007/s13131-012-0188-x</doi><tpages>9</tpages></addata></record> |
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| issn | 0253-505X 1869-1099 |
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| source | Alma/SFX Local Collection; SpringerLink Journals - AutoHoldings; ProQuest Central |
| subjects | Anomalies Canonical forms Climatology Continuity (mathematics) Data analysis Data mining Discharge measurement Earth and Environmental Science Earth Sciences Ecology El Nino El Nino phenomena Engineering Fluid Dynamics Environmental Chemistry Evolution Gaging stations Life span Longevity Marine Marine & Freshwater Sciences Oceanography Phase objects Phases Precipitation Rainfall Semantics Southern Oscillation Spatial distribution Stream discharge 中国 厄尔尼诺 应用 振动性 时空语义 海洋现象 过程语义 降水异常 |
| title | Marine spatio-temporal process semantics and its applications-taking the El Nino Southern Oscilation process and Chinese rainfall anomaly as an example |
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