{"id":"https://openalex.org/W4287737963","doi":"https://doi.org/10.1145/3535756.3535770","title":"Event Graph Construction Based on Disciplinary Procedural Knowledge: Concept Model and Application","display_name":"Event Graph Construction Based on Disciplinary Procedural Knowledge: Concept Model and Application","publication_year":2022,"publication_date":"2022-04-16","ids":{"openalex":"https://openalex.org/W4287737963","doi":"https://doi.org/10.1145/3535756.3535770"},"language":"en","primary_location":{"id":"doi:10.1145/3535756.3535770","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3535756.3535770","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 8th International Conference on Education and Training Technologies","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/A5100701344","display_name":"Yao Xiao","orcid":"https://orcid.org/0000-0002-8258-0736"},"institutions":[{"id":"https://openalex.org/I921716337","display_name":"Northeast Petroleum University","ror":"https://ror.org/03net5943","country_code":"CN","type":"education","lineage":["https://openalex.org/I921716337"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yao Xiao","raw_affiliation_strings":["Department of Computer and Information Technology, Northeast Petroleum University, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Technology, Northeast Petroleum University, China","institution_ids":["https://openalex.org/I921716337"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050919411","display_name":"Zehui Zhan","orcid":"https://orcid.org/0000-0002-6936-1977"},"institutions":[{"id":"https://openalex.org/I187400657","display_name":"South China Normal University","ror":"https://ror.org/01kq0pv72","country_code":"CN","type":"education","lineage":["https://openalex.org/I187400657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zehui Zhan","raw_affiliation_strings":["School of Educational Information Technology, South China Normal University, China"],"affiliations":[{"raw_affiliation_string":"School of Educational Information Technology, South China Normal University, China","institution_ids":["https://openalex.org/I187400657"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064811291","display_name":"Man Yuan","orcid":null},"institutions":[{"id":"https://openalex.org/I921716337","display_name":"Northeast Petroleum University","ror":"https://ror.org/03net5943","country_code":"CN","type":"education","lineage":["https://openalex.org/I921716337"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Man Yuan","raw_affiliation_strings":["Department of Computer and Information Technology, Northeast Petroleum University, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Technology, Northeast Petroleum University, China","institution_ids":["https://openalex.org/I921716337"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100701344"],"corresponding_institution_ids":["https://openalex.org/I921716337"],"apc_list":null,"apc_paid":null,"fwci":0.5303,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.70489164,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"85","last_page":"91"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.9891999959945679,"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":0.9891999959945679,"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/T13062","display_name":"Cognitive Computing and Networks","score":0.9807999730110168,"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/T12805","display_name":"Cognitive Science and Mapping","score":0.9556999802589417,"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/procedural-knowledge","display_name":"Procedural knowledge","score":0.764063835144043},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.757346510887146},{"id":"https://openalex.org/keywords/knowledge-representation-and-reasoning","display_name":"Knowledge representation and reasoning","score":0.6753864884376526},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.502615213394165},{"id":"https://openalex.org/keywords/semantic-memory","display_name":"Semantic memory","score":0.5022182464599609},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4829220473766327},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.47545191645622253},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.45187896490097046},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4371769428253174},{"id":"https://openalex.org/keywords/knowledge-based-systems","display_name":"Knowledge-based systems","score":0.42555347084999084},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42411544919013977},{"id":"https://openalex.org/keywords/descriptive-knowledge","display_name":"Descriptive knowledge","score":0.4131265878677368},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.4099036753177643},{"id":"https://openalex.org/keywords/knowledge-management","display_name":"Knowledge management","score":0.34193092584609985},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.301257461309433},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.278409868478775},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.10207492113113403}],"concepts":[{"id":"https://openalex.org/C124469403","wikidata":"https://www.wikidata.org/wiki/Q1813993","display_name":"Procedural knowledge","level":3,"score":0.764063835144043},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.757346510887146},{"id":"https://openalex.org/C161301231","wikidata":"https://www.wikidata.org/wiki/Q3478658","display_name":"Knowledge representation and reasoning","level":2,"score":0.6753864884376526},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.502615213394165},{"id":"https://openalex.org/C197914299","wikidata":"https://www.wikidata.org/wiki/Q18650","display_name":"Semantic memory","level":3,"score":0.5022182464599609},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4829220473766327},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.47545191645622253},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.45187896490097046},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4371769428253174},{"id":"https://openalex.org/C115925183","wikidata":"https://www.wikidata.org/wiki/Q1412694","display_name":"Knowledge-based systems","level":2,"score":0.42555347084999084},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42411544919013977},{"id":"https://openalex.org/C14156362","wikidata":"https://www.wikidata.org/wiki/Q3235388","display_name":"Descriptive knowledge","level":2,"score":0.4131265878677368},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.4099036753177643},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.34193092584609985},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.301257461309433},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.278409868478775},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.10207492113113403},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3535756.3535770","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3535756.3535770","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 8th International Conference on Education and Training Technologies","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1679907412","https://openalex.org/W2141086994","https://openalex.org/W2567944975","https://openalex.org/W2759969248","https://openalex.org/W2794144851","https://openalex.org/W3013208650","https://openalex.org/W4247996926","https://openalex.org/W4252101528","https://openalex.org/W6607367167"],"related_works":["https://openalex.org/W1879351274","https://openalex.org/W4237288375","https://openalex.org/W2150574777","https://openalex.org/W1488104336","https://openalex.org/W4233359995","https://openalex.org/W1553358995","https://openalex.org/W1683212044","https://openalex.org/W1979978247","https://openalex.org/W2339565788","https://openalex.org/W2079873900"],"abstract_inverted_index":{"Abstract:":[0],"At":[1],"present,":[2],"procedural":[3,35,44,55,77,87,106],"knowledge":[4,36,56,78,88,107],"is":[5,14,28,104],"mainly":[6],"represented":[7],"by":[8],"production":[9],"rules.":[10],"Although":[11],"this":[12,47],"representation":[13,33,69,84,108],"concise,":[15],"problems":[16],"exist":[17],"on":[18],"lack":[19,61],"of":[20,34,43,62,76,86],"semantic":[21,25,52,112,116],"elements":[22,53,66],"and":[23,37,41,59,64,79,90,114],"single":[24],"relationship,":[26],"which":[27],"not":[29],"conducive":[30],"to":[31],"the":[32,39,51,60,73,83,91,101],"hinders":[38],"teaching":[40],"application":[42],"knowledge.":[45],"Therefore,":[46],"paper":[48],"firstly":[49],"analyzes":[50],"that":[54,100],"should":[57],"have,":[58],"time":[63],"space":[65],"in":[67],"traditional":[68],"methods.":[70],"Combining":[71],"with":[72,110],"cognitive":[74],"background":[75],"introducing":[80],"event":[81,102],"cognition,":[82],"method":[85,109],"graph":[89,103],"construction":[92],"process":[93],"model":[94],"are":[95],"obtained.":[96],"The":[97],"verification":[98],"proves":[99],"a":[105],"complete":[111],"roles":[113],"rich":[115],"relations.":[117]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}