{"id":"https://openalex.org/W2119391585","doi":"https://doi.org/10.1109/icmlc.2011.6016952","title":"Meteorological bulletin automatic generation based on spatio-temporal reasoning","display_name":"Meteorological bulletin automatic generation based on spatio-temporal reasoning","publication_year":2011,"publication_date":"2011-07-01","ids":{"openalex":"https://openalex.org/W2119391585","doi":"https://doi.org/10.1109/icmlc.2011.6016952","mag":"2119391585"},"language":"en","primary_location":{"id":"doi:10.1109/icmlc.2011.6016952","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc.2011.6016952","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 International Conference on Machine Learning and Cybernetics","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5084300721","display_name":"Huaping Zhang","orcid":"https://orcid.org/0000-0002-0137-4069"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hua-Ping Zhang","raw_affiliation_strings":["Beijing Institute of Technology, China",", Beijing Institute of Technology, , China"],"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology, China","institution_ids":["https://openalex.org/I125839683"]},{"raw_affiliation_string":", Beijing Institute of Technology, , China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110647591","display_name":"Huanping Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I141301092","display_name":"China Meteorological Administration","ror":"https://ror.org/00bx3rb98","country_code":"CN","type":"government","lineage":["https://openalex.org/I141301092"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huan-Ping Wu","raw_affiliation_strings":["Meteorological Administration, China","Meterological Administration"],"affiliations":[{"raw_affiliation_string":"Meteorological Administration, China","institution_ids":["https://openalex.org/I141301092"]},{"raw_affiliation_string":"Meterological Administration","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028795816","display_name":"Jian Gao","orcid":"https://orcid.org/0000-0001-5625-7751"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Gao","raw_affiliation_strings":["Beijing Institute of Technology, China",", Beijing Institute of Technology, , China"],"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology, China","institution_ids":["https://openalex.org/I125839683"]},{"raw_affiliation_string":", Beijing Institute of Technology, , China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100518163","display_name":"Yanping Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan-Ping Zhao","raw_affiliation_strings":["Beijing Institute of Technology, China",", Beijing Institute of Technology, , China"],"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology, China","institution_ids":["https://openalex.org/I125839683"]},{"raw_affiliation_string":", Beijing Institute of Technology, , China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061640992","display_name":"Zhongliang Lv","orcid":"https://orcid.org/0000-0002-2702-8471"},"institutions":[{"id":"https://openalex.org/I141301092","display_name":"China Meteorological Administration","ror":"https://ror.org/00bx3rb98","country_code":"CN","type":"government","lineage":["https://openalex.org/I141301092"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhong-Liang Lv","raw_affiliation_strings":["Meteorological Administration, China","Meterological Administration"],"affiliations":[{"raw_affiliation_string":"Meteorological Administration, China","institution_ids":["https://openalex.org/I141301092"]},{"raw_affiliation_string":"Meterological Administration","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5084300721"],"corresponding_institution_ids":["https://openalex.org/I125839683"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.16186369,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1927","last_page":"1931"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9939000010490417,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9939000010490417,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.9901000261306763,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10757","display_name":"Geographic Information Systems Studies","score":0.98580002784729,"subfield":{"id":"https://openalex.org/subfields/3305","display_name":"Geography, Planning and Development"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7112879753112793},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.6777815222740173},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5160183906555176},{"id":"https://openalex.org/keywords/center","display_name":"Center (category theory)","score":0.42838776111602783},{"id":"https://openalex.org/keywords/weather-forecasting","display_name":"Weather forecasting","score":0.41309165954589844},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.37472277879714966},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3723897337913513},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.21775829792022705},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.11658239364624023},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.10970684885978699}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7112879753112793},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.6777815222740173},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5160183906555176},{"id":"https://openalex.org/C2779463800","wikidata":"https://www.wikidata.org/wiki/Q5062222","display_name":"Center (category theory)","level":2,"score":0.42838776111602783},{"id":"https://openalex.org/C21001229","wikidata":"https://www.wikidata.org/wiki/Q182868","display_name":"Weather forecasting","level":2,"score":0.41309165954589844},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.37472277879714966},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3723897337913513},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.21775829792022705},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.11658239364624023},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.10970684885978699},{"id":"https://openalex.org/C8010536","wikidata":"https://www.wikidata.org/wiki/Q160398","display_name":"Crystallography","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icmlc.2011.6016952","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc.2011.6016952","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 International Conference on Machine Learning and Cybernetics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W130656512","https://openalex.org/W1574486308","https://openalex.org/W1768003599","https://openalex.org/W1871668702","https://openalex.org/W2039633879","https://openalex.org/W2119874156","https://openalex.org/W2141608913","https://openalex.org/W2390696186","https://openalex.org/W4285719527","https://openalex.org/W6634157013","https://openalex.org/W6639430512"],"related_works":["https://openalex.org/W2032233321","https://openalex.org/W3121970507","https://openalex.org/W2110028391","https://openalex.org/W54497855","https://openalex.org/W217960748","https://openalex.org/W3125814499","https://openalex.org/W2090827041","https://openalex.org/W2565703248","https://openalex.org/W187246281","https://openalex.org/W2910384174"],"abstract_inverted_index":{"Meteorological":[0,52,92],"bulletin":[1,53],"has":[2],"more":[3,5,37],"and":[4,12,42,65,72,94,99],"diversified,":[6],"large":[7],"scale,":[8],"highly":[9],"integrated":[10],"requirements":[11],"potential":[13],"demands":[14],"from":[15,90],"whole":[16],"society.":[17],"The":[18],"strong":[19],"professional":[20],"efforts":[21],"involved":[22],"in":[23,39,78],"transforming":[24],"the":[25],"variety":[26],"of":[27],"special":[28,74],"meteorological":[29,70],"data":[30,89],"to":[31],"natural":[32],"language":[33],"text":[34],"are":[35],"becoming":[36],"challenging":[38],"providing":[40],"sophisticated":[41],"easily":[43],"understood":[44],"weather":[45],"features.":[46],"This":[47],"paper":[48],"presents":[49],"a":[50],"new":[51],"automatic":[54],"generation":[55],"method":[56,86],"based":[57],"on":[58],"spatio-temporal":[59],"reasoning.":[60],"To":[61],"enhance":[62],"an":[63],"exact":[64],"non-redundant":[66],"description":[67],"for":[68,73],"complex":[69],"data,":[71],"future":[75],"tendency":[76],"dynamics":[77],"emerged":[79],"interesting":[80],"areas.":[81],"We":[82],"also":[83],"evaluate":[84],"this":[85],"with":[87],"real":[88],"National":[91],"Center":[93],"prove":[95],"that":[96],"it's":[97],"feasible":[98],"effective":[100],"after":[101],"implementing.":[102]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-03-25T13:04:00.132906","created_date":"2025-10-10T00:00:00"}