MeteoAssert: generation and organization of weather assertions from gridded data
MeteoAssert, a system developed at the Forecast System Laboratory, analyzes gridded data sets and produces descriptions which are organized sets of assertions representing the content of weather messages. Each assertion conveys a single weather characteristic with a certain spatial and temporal scop...
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description | MeteoAssert, a system developed at the Forecast System Laboratory, analyzes gridded data sets and produces descriptions which are organized sets of assertions representing the content of weather messages. Each assertion conveys a single weather characteristic with a certain spatial and temporal scope. The assertions in a description are linked by discourse relations that predetermine the structure of the weather message: a natural language text, a piece of graphics, a table, or a mixture of these elements. The descriptions are generated in response to queries representing the information needs of the user. Three models drive the system: territory, time, and parameter. Each model defines the objects in terms by which the descriptions are created. MeteoAssert works as a server to several systems dealing with different applications and preparing various weather displays.< > |
doi_str_mv | 10.1109/CAIA.1994.323664 |
format | Conference Proceeding |
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MeteoAssert works as a server to several systems dealing with different applications and preparing various weather displays.< ></description><subject>Artificial intelligence</subject><subject>Data analysis</subject><subject>Displays</subject><subject>Graphics</subject><subject>Humans</subject><subject>Laboratories</subject><subject>Mesh generation</subject><subject>Natural languages</subject><subject>Postal services</subject><subject>Weather forecasting</subject><isbn>9780818655500</isbn><isbn>081865550X</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>1994</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotkE1LAzEYhAMiKLV38ZSTt6352GQTb0vxo1DRg56Xt82bGuluapIi-utdXOcyMDwMzBByydmCc2Zvlu2qXXBr64UUUuv6hMxtY5jhRiulGDsj85w_2CilGmuac_LyhAVjmzOmckt3OGCCEuJAYXA0ph0M4WcKoqdfCOUdE4U_fAwz9Sn2dJeCc-iogwIX5NTDPuP832fk7f7udflYrZ8fVst2XQXBZKmctrxWAqTdqq1xXljmBYDRQgvPHSpvELzxUihE4zZOAVgxTto4D-gbOSPXU-8hxc8j5tL1IW9xv4cB4zF3QteqEZyP4NUEBkTsDin0kL676R_5CwhDXLw</recordid><startdate>1994</startdate><enddate>1994</enddate><creator>Kerpedjiev, S.M.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope><scope>7SC</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>1994</creationdate><title>MeteoAssert: generation and organization of weather assertions from gridded data</title><author>Kerpedjiev, S.M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i203t-d691452a39c5c8df290f2aa86262f1de5f8eaf8f325ee8dbd5aa92664bdfaef73</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>1994</creationdate><topic>Artificial intelligence</topic><topic>Data analysis</topic><topic>Displays</topic><topic>Graphics</topic><topic>Humans</topic><topic>Laboratories</topic><topic>Mesh generation</topic><topic>Natural languages</topic><topic>Postal services</topic><topic>Weather forecasting</topic><toplevel>online_resources</toplevel><creatorcontrib>Kerpedjiev, S.M.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection><collection>Computer and Information Systems Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Kerpedjiev, S.M.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>MeteoAssert: generation and organization of weather assertions from gridded data</atitle><btitle>Artificial Intelligence for Applications, 10th Conference on (CAIA '94)</btitle><stitle>CAIA</stitle><date>1994</date><risdate>1994</risdate><spage>275</spage><epage>281</epage><pages>275-281</pages><isbn>9780818655500</isbn><isbn>081865550X</isbn><abstract>MeteoAssert, a system developed at the Forecast System Laboratory, analyzes gridded data sets and produces descriptions which are organized sets of assertions representing the content of weather messages. Each assertion conveys a single weather characteristic with a certain spatial and temporal scope. The assertions in a description are linked by discourse relations that predetermine the structure of the weather message: a natural language text, a piece of graphics, a table, or a mixture of these elements. The descriptions are generated in response to queries representing the information needs of the user. Three models drive the system: territory, time, and parameter. Each model defines the objects in terms by which the descriptions are created. MeteoAssert works as a server to several systems dealing with different applications and preparing various weather displays.< ></abstract><pub>IEEE</pub><doi>10.1109/CAIA.1994.323664</doi><tpages>7</tpages></addata></record> |
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subjects | Artificial intelligence Data analysis Displays Graphics Humans Laboratories Mesh generation Natural languages Postal services Weather forecasting |
title | MeteoAssert: generation and organization of weather assertions from gridded data |
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