{"id":"https://openalex.org/W3087741796","doi":"https://doi.org/10.4018/ijaci.2020100103","title":"An Event Ontology Model Research for Environmental Pollution Emergencies","display_name":"An Event Ontology Model Research for Environmental Pollution Emergencies","publication_year":2020,"publication_date":"2020-09-16","ids":{"openalex":"https://openalex.org/W3087741796","doi":"https://doi.org/10.4018/ijaci.2020100103","mag":"3087741796"},"language":"en","primary_location":{"id":"doi:10.4018/ijaci.2020100103","is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijaci.2020100103","pdf_url":null,"source":{"id":"https://openalex.org/S51041755","display_name":"International Journal of Ambient Computing and Intelligence","issn_l":"1941-6237","issn":["1941-6237","1941-6245"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Ambient Computing and Intelligence","raw_type":"journal-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/A5102676136","display_name":"Sha Wang","orcid":"https://orcid.org/0000-0003-4411-5937"},"institutions":[{"id":"https://openalex.org/I1296452710","display_name":"Hunan International Economics University","ror":"https://ror.org/01551ga11","country_code":"CN","type":"education","lineage":["https://openalex.org/I1296452710"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sha Wang","raw_affiliation_strings":["Hunan International Economics University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hunan International Economics University, China","institution_ids":["https://openalex.org/I1296452710"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061743856","display_name":"Qiong Peng","orcid":"https://orcid.org/0000-0002-6201-6193"},"institutions":[{"id":"https://openalex.org/I1296452710","display_name":"Hunan International Economics University","ror":"https://ror.org/01551ga11","country_code":"CN","type":"education","lineage":["https://openalex.org/I1296452710"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiong Peng","raw_affiliation_strings":["Hunan International Economics University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hunan International Economics University, China","institution_ids":["https://openalex.org/I1296452710"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051737827","display_name":"Hua Liang","orcid":"https://orcid.org/0000-0003-4242-9895"},"institutions":[{"id":"https://openalex.org/I1296452710","display_name":"Hunan International Economics University","ror":"https://ror.org/01551ga11","country_code":"CN","type":"education","lineage":["https://openalex.org/I1296452710"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hua Liang","raw_affiliation_strings":["Hunan International Economics University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hunan International Economics University, China","institution_ids":["https://openalex.org/I1296452710"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I1296452710"],"apc_list":null,"apc_paid":null,"fwci":0.3911,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.69165765,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"11","issue":"4","first_page":"38","last_page":"56"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.9983999729156494,"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"}},"topics":[{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.9983999729156494,"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/T10679","display_name":"Service-Oriented Architecture and Web Services","score":0.9921000003814697,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T13734","display_name":"Advanced Computational Techniques and Applications","score":0.9854999780654907,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.854810357093811},{"id":"https://openalex.org/keywords/ontology","display_name":"Ontology","score":0.8484752178192139},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.6273207068443298},{"id":"https://openalex.org/keywords/ontology-based-data-integration","display_name":"Ontology-based data integration","score":0.5840005874633789},{"id":"https://openalex.org/keywords/process-ontology","display_name":"Process ontology","score":0.577418327331543},{"id":"https://openalex.org/keywords/vocabulary","display_name":"Vocabulary","score":0.5358717441558838},{"id":"https://openalex.org/keywords/ontology-inference-layer","display_name":"Ontology Inference Layer","score":0.5290300846099854},{"id":"https://openalex.org/keywords/ambiguity","display_name":"Ambiguity","score":0.5030526518821716},{"id":"https://openalex.org/keywords/upper-ontology","display_name":"Upper ontology","score":0.4962041974067688},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4903257191181183},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.43799909949302673},{"id":"https://openalex.org/keywords/suggested-upper-merged-ontology","display_name":"Suggested Upper Merged Ontology","score":0.42621150612831116},{"id":"https://openalex.org/keywords/owl-s","display_name":"OWL-S","score":0.4261396825313568},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39483973383903503},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.32800453901290894},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.27658501267433167},{"id":"https://openalex.org/keywords/semantic-web","display_name":"Semantic Web","score":0.2585681676864624},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.07880768179893494},{"id":"https://openalex.org/keywords/social-semantic-web","display_name":"Social Semantic Web","score":0.07526087760925293},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.07106515765190125}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.854810357093811},{"id":"https://openalex.org/C25810664","wikidata":"https://www.wikidata.org/wiki/Q44325","display_name":"Ontology","level":2,"score":0.8484752178192139},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.6273207068443298},{"id":"https://openalex.org/C22550185","wikidata":"https://www.wikidata.org/wiki/Q7095047","display_name":"Ontology-based data integration","level":3,"score":0.5840005874633789},{"id":"https://openalex.org/C137003198","wikidata":"https://www.wikidata.org/wiki/Q7247296","display_name":"Process ontology","level":3,"score":0.577418327331543},{"id":"https://openalex.org/C2777601683","wikidata":"https://www.wikidata.org/wiki/Q6499736","display_name":"Vocabulary","level":2,"score":0.5358717441558838},{"id":"https://openalex.org/C115408247","wikidata":"https://www.wikidata.org/wiki/Q3882789","display_name":"Ontology Inference Layer","level":5,"score":0.5290300846099854},{"id":"https://openalex.org/C2780522230","wikidata":"https://www.wikidata.org/wiki/Q1140419","display_name":"Ambiguity","level":2,"score":0.5030526518821716},{"id":"https://openalex.org/C78726541","wikidata":"https://www.wikidata.org/wiki/Q3882785","display_name":"Upper ontology","level":3,"score":0.4962041974067688},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4903257191181183},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.43799909949302673},{"id":"https://openalex.org/C50971890","wikidata":"https://www.wikidata.org/wiki/Q7635093","display_name":"Suggested Upper Merged Ontology","level":4,"score":0.42621150612831116},{"id":"https://openalex.org/C50382505","wikidata":"https://www.wikidata.org/wiki/Q2553356","display_name":"OWL-S","level":4,"score":0.4261396825313568},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39483973383903503},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.32800453901290894},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.27658501267433167},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.2585681676864624},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.07880768179893494},{"id":"https://openalex.org/C534406577","wikidata":"https://www.wikidata.org/wiki/Q7550843","display_name":"Social Semantic Web","level":3,"score":0.07526087760925293},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.07106515765190125},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.4018/ijaci.2020100103","is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijaci.2020100103","pdf_url":null,"source":{"id":"https://openalex.org/S51041755","display_name":"International Journal of Ambient Computing and Intelligence","issn_l":"1941-6237","issn":["1941-6237","1941-6245"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Ambient Computing and Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:igg:jaci00:v:11:y:2020:i:4:p:38-56","is_oa":false,"landing_page_url":"https://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJACI.2020100103","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1501170495","https://openalex.org/W1599662011","https://openalex.org/W1772693878","https://openalex.org/W1982020592","https://openalex.org/W2099218891","https://openalex.org/W2754546121"],"related_works":["https://openalex.org/W1995689060","https://openalex.org/W2911326759","https://openalex.org/W2294500000","https://openalex.org/W2373434917","https://openalex.org/W2184133400","https://openalex.org/W2102229151","https://openalex.org/W2786377914","https://openalex.org/W2363220404","https://openalex.org/W2781222337","https://openalex.org/W2392837055"],"abstract_inverted_index":{"In":[0,41],"the":[1,14,22,42,47,52,63,70,80,86,97,111,120],"modeling":[2],"process,":[3],"event":[4,25,33,55,66,74,113,121],"ontology":[5,26,67,75,90,98,114,122],"design":[6,29],"pattern":[7],"(EODP)":[8],"is":[9,36,82],"a":[10],"solution":[11],"to":[12,84,124],"recurring":[13],"same":[15],"error":[16],"scheme.":[17],"It":[18],"can":[19,50],"speed":[20],"up":[21],"construction":[23],"of":[24,44,65,72,100],"and":[27,69,79,110,128],"avoid":[28],"ambiguity.":[30],"A":[31],"general":[32,54],"model":[34,48,99,115,123],"structure":[35,49],"proposed":[37],"in":[38,57],"this":[39],"paper.":[40],"absence":[43],"domain-specific":[45],"vocabulary,":[46],"represent":[51],"most":[53],"information":[56],"web":[58],"text.":[59],"Based":[60],"on":[61,93],"this,":[62],"concept":[64],"mode":[68,76,91],"method":[71,81],"extracting":[73],"are":[77],"proposed,":[78],"used":[83],"establish":[85],"environmental":[87,101],"pollution":[88,102],"emergency":[89],"based":[92],"shared":[94],"vocabulary.":[95],"Finally,":[96],"emergencies":[103],"was":[104,116],"formalized":[105],"by":[106,118],"using":[107,119],"description":[108],"logic,":[109],"domain":[112],"implemented":[117],"verify":[125],"its":[126],"validity":[127],"conceptual":[129],"consistency.":[130]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2026-06-11T06:19:23.411458","created_date":"2025-10-10T00:00:00"}