{"id":"https://openalex.org/W2060315665","doi":"https://doi.org/10.1080/08839514.2015.1004615","title":"Fuzzy Spatiotemporal Data Modeling and Operations in XML","display_name":"Fuzzy Spatiotemporal Data Modeling and Operations in XML","publication_year":2015,"publication_date":"2015-03-16","ids":{"openalex":"https://openalex.org/W2060315665","doi":"https://doi.org/10.1080/08839514.2015.1004615","mag":"2060315665"},"language":"en","primary_location":{"id":"doi:10.1080/08839514.2015.1004615","is_oa":true,"landing_page_url":"https://doi.org/10.1080/08839514.2015.1004615","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/08839514.2015.1004615?needAccess=true","source":{"id":"https://openalex.org/S125501549","display_name":"Applied Artificial Intelligence","issn_l":"0883-9514","issn":["0883-9514","1087-6545"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://www.tandfonline.com/doi/pdf/10.1080/08839514.2015.1004615?needAccess=true","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5065518531","display_name":"Luyi Bai","orcid":"https://orcid.org/0000-0001-9546-3208"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Luyi Bai","raw_affiliation_strings":["College of Information Science & Engineering, Northeastern University, Shenyang, China","[College of Information Science & Engineering, Northeastern University, Shenyang, CHINA]"],"affiliations":[{"raw_affiliation_string":"College of Information Science & Engineering, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]},{"raw_affiliation_string":"[College of Information Science & Engineering, Northeastern University, Shenyang, CHINA]","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100380309","display_name":"Li Yan","orcid":"https://orcid.org/0000-0002-1881-3128"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Li Yan","raw_affiliation_strings":["School of Software, Northeastern University, Shenyang, China","School of Software, Northeastern University, Shenyang, China#TAB#"],"affiliations":[{"raw_affiliation_string":"School of Software, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]},{"raw_affiliation_string":"School of Software, Northeastern University, Shenyang, China#TAB#","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015057910","display_name":"Zongmin Ma","orcid":"https://orcid.org/0000-0001-7780-6473"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Z. M. Ma","raw_affiliation_strings":["College of Information Science & Engineering, Northeastern University, Shenyang, China","[College of Information Science & Engineering, Northeastern University, Shenyang, CHINA]"],"affiliations":[{"raw_affiliation_string":"College of Information Science & Engineering, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]},{"raw_affiliation_string":"[College of Information Science & Engineering, Northeastern University, Shenyang, CHINA]","institution_ids":["https://openalex.org/I9224756"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100380309"],"corresponding_institution_ids":["https://openalex.org/I9224756"],"apc_list":{"value":2195,"currency":"USD","value_usd":2195},"apc_paid":null,"fwci":2.0103,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.87196828,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"29","issue":"3","first_page":"259","last_page":"282"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9998000264167786,"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":0.9998000264167786,"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/T11596","display_name":"Constraint Satisfaction and Optimization","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10317","display_name":"Advanced Database Systems and Queries","score":0.9926999807357788,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8406440019607544},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.7158806324005127},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.6528196334838867},{"id":"https://openalex.org/keywords/xml","display_name":"XML","score":0.6092833280563354},{"id":"https://openalex.org/keywords/xml-schema","display_name":"XML Schema (W3C)","score":0.5125305652618408},{"id":"https://openalex.org/keywords/document-structure-description","display_name":"Document Structure Description","score":0.45265689492225647},{"id":"https://openalex.org/keywords/efficient-xml-interchange","display_name":"Efficient XML Interchange","score":0.4126172959804535},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3505607843399048},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.3212703466415405},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2843116521835327},{"id":"https://openalex.org/keywords/document-type-definition","display_name":"Document type definition","score":0.15997105836868286},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.06661421060562134}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8406440019607544},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.7158806324005127},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.6528196334838867},{"id":"https://openalex.org/C8797682","wikidata":"https://www.wikidata.org/wiki/Q2115","display_name":"XML","level":2,"score":0.6092833280563354},{"id":"https://openalex.org/C40713593","wikidata":"https://www.wikidata.org/wiki/Q16342","display_name":"XML Schema (W3C)","level":5,"score":0.5125305652618408},{"id":"https://openalex.org/C68699486","wikidata":"https://www.wikidata.org/wiki/Q265904","display_name":"Document Structure Description","level":3,"score":0.45265689492225647},{"id":"https://openalex.org/C11508877","wikidata":"https://www.wikidata.org/wiki/Q1124477","display_name":"Efficient XML Interchange","level":3,"score":0.4126172959804535},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3505607843399048},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.3212703466415405},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2843116521835327},{"id":"https://openalex.org/C84314905","wikidata":"https://www.wikidata.org/wiki/Q212327","display_name":"Document type definition","level":4,"score":0.15997105836868286},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.06661421060562134}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/08839514.2015.1004615","is_oa":true,"landing_page_url":"https://doi.org/10.1080/08839514.2015.1004615","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/08839514.2015.1004615?needAccess=true","source":{"id":"https://openalex.org/S125501549","display_name":"Applied Artificial Intelligence","issn_l":"0883-9514","issn":["0883-9514","1087-6545"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1080/08839514.2015.1004615","is_oa":true,"landing_page_url":"https://doi.org/10.1080/08839514.2015.1004615","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/08839514.2015.1004615?needAccess=true","source":{"id":"https://openalex.org/S125501549","display_name":"Applied Artificial Intelligence","issn_l":"0883-9514","issn":["0883-9514","1087-6545"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.5299999713897705}],"awards":[{"id":"https://openalex.org/G1012891431","display_name":null,"funder_award_id":"61073139","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G375832958","display_name":null,"funder_award_id":"N130323006","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G3958430208","display_name":null,"funder_award_id":"60873010","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6224596140","display_name":null,"funder_award_id":"61370075","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7087789962","display_name":null,"funder_award_id":"61402087","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2060315665.pdf","grobid_xml":"https://content.openalex.org/works/W2060315665.grobid-xml"},"referenced_works_count":66,"referenced_works":["https://openalex.org/W34949062","https://openalex.org/W265188677","https://openalex.org/W1531637736","https://openalex.org/W1538827254","https://openalex.org/W1560465891","https://openalex.org/W1560626952","https://openalex.org/W1576781915","https://openalex.org/W1782805257","https://openalex.org/W1796251476","https://openalex.org/W1967578425","https://openalex.org/W1976034466","https://openalex.org/W1984939401","https://openalex.org/W1988668397","https://openalex.org/W1996126974","https://openalex.org/W1998927229","https://openalex.org/W2004385129","https://openalex.org/W2009199424","https://openalex.org/W2010640906","https://openalex.org/W2012218528","https://openalex.org/W2016414287","https://openalex.org/W2017713293","https://openalex.org/W2018359527","https://openalex.org/W2019638093","https://openalex.org/W2022954591","https://openalex.org/W2025849513","https://openalex.org/W2026707430","https://openalex.org/W2028615032","https://openalex.org/W2038796765","https://openalex.org/W2040340143","https://openalex.org/W2040903741","https://openalex.org/W2045483777","https://openalex.org/W2048119128","https://openalex.org/W2057807152","https://openalex.org/W2058303288","https://openalex.org/W2060815519","https://openalex.org/W2063046601","https://openalex.org/W2069692417","https://openalex.org/W2075187555","https://openalex.org/W2076199141","https://openalex.org/W2087060113","https://openalex.org/W2095688190","https://openalex.org/W2096669374","https://openalex.org/W2099494003","https://openalex.org/W2121210268","https://openalex.org/W2128145184","https://openalex.org/W2129539569","https://openalex.org/W2134163029","https://openalex.org/W2134354397","https://openalex.org/W2139073465","https://openalex.org/W2139493760","https://openalex.org/W2147289058","https://openalex.org/W2150215525","https://openalex.org/W2158688066","https://openalex.org/W2162490740","https://openalex.org/W2413519554","https://openalex.org/W2522057088","https://openalex.org/W2536638243","https://openalex.org/W2544875866","https://openalex.org/W2912565176","https://openalex.org/W2912606856","https://openalex.org/W3010313184","https://openalex.org/W3156834475","https://openalex.org/W4211007335","https://openalex.org/W4233442676","https://openalex.org/W4247941933","https://openalex.org/W4253252996"],"related_works":["https://openalex.org/W2121785123","https://openalex.org/W56340752","https://openalex.org/W2082031914","https://openalex.org/W2585052215","https://openalex.org/W2276215951","https://openalex.org/W1880452510","https://openalex.org/W2146760738","https://openalex.org/W2378161351","https://openalex.org/W1600174612","https://openalex.org/W1533091132"],"abstract_inverted_index":{"Because":[0],"increasing":[1],"requirements":[2],"of":[3,76,110],"fuzzy":[4,21,52,67,84,102,111,120],"spatiotemporal":[5,22,53,68,85,103,112],"applications":[6],"are":[7,31],"attracting":[8],"much":[9],"attention":[10],"from":[11],"both":[12],"academia":[13],"and":[14,24,40,50,90,105,125],"industry,":[15],"it":[16,97],"is":[17,98],"challenging":[18],"to":[19,65,82,100],"model":[20,66,133],"data":[23,54,69,86,104],"effectively":[25],"operate":[26],"them.":[27],"However,":[28],"various":[29],"researches":[30],"studied":[32],"in":[33,48,55,87,134],"traditional":[34],"databases":[35],"that":[36,96],"impose":[37],"strict":[38],"restrictions,":[39],"relatively":[41],"little":[42],"work":[43],"has":[44],"been":[45],"carried":[46],"out":[47],"modeling":[49],"operating":[51],"XML.":[56,72],"In":[57],"this":[58],"paper,":[59],"we":[60,79,116,130],"propose":[61],"a":[62],"novel":[63],"approach":[64],"based":[70],"on":[71],"On":[73],"the":[74,77,92,107],"basis":[75],"model,":[78],"investigate":[80],"how":[81],"represent":[83],"XML":[88,93,113],"documents":[89],"extend":[91],"schema":[94],"so":[95],"possible":[99],"describe":[101],"capture":[106],"structural":[108],"information":[109],"documents.":[114],"Furthermore,":[115],"give":[117],"algorithms":[118],"for":[119],"operations,":[121],"containing":[122],"node":[123],"operations":[124],"topological":[126],"relationship":[127],"operations.":[128],"Finally,":[129],"apply":[131],"our":[132],"meteorological":[135],"events.":[136]},"counts_by_year":[{"year":2025,"cited_by_count":7},{"year":2023,"cited_by_count":5},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
