{"id":"https://openalex.org/W2913148645","doi":"https://doi.org/10.1145/3302425.3302495","title":"An Approach for Learning Ontology from Relational Database","display_name":"An Approach for Learning Ontology from Relational Database","publication_year":2018,"publication_date":"2018-12-21","ids":{"openalex":"https://openalex.org/W2913148645","doi":"https://doi.org/10.1145/3302425.3302495","mag":"2913148645"},"language":"en","primary_location":{"id":"doi:10.1145/3302425.3302495","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3302425.3302495","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 International Conference on Algorithms, Computing and Artificial Intelligence","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100441094","display_name":"Xiao Liu","orcid":"https://orcid.org/0000-0002-9226-4569"},"institutions":[{"id":"https://openalex.org/I43922553","display_name":"Wuhan University of Science and Technology","ror":"https://ror.org/00e4hrk88","country_code":"CN","type":"education","lineage":["https://openalex.org/I43922553"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao Liu","raw_affiliation_strings":["School of Computer Science and Technology, Key Laboratory of Intelligent Information Processing and Real-time Industrial System in Hubei Province/Wuhan University of Science and Technology, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Key Laboratory of Intelligent Information Processing and Real-time Industrial System in Hubei Province/Wuhan University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I43922553"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102972678","display_name":"Feng Gao","orcid":"https://orcid.org/0000-0001-8391-8279"},"institutions":[{"id":"https://openalex.org/I43922553","display_name":"Wuhan University of Science and Technology","ror":"https://ror.org/00e4hrk88","country_code":"CN","type":"education","lineage":["https://openalex.org/I43922553"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Gao","raw_affiliation_strings":["School of Computer Science and Technology, Key Laboratory of Intelligent Information Processing and Real-time Industrial System in Hubei Province/ Institute of Big Data Science and Engineering /Wuhan University of Science and Technology, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Key Laboratory of Intelligent Information Processing and Real-time Industrial System in Hubei Province/ Institute of Big Data Science and Engineering /Wuhan University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I43922553"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I43922553"],"apc_list":null,"apc_paid":null,"fwci":0.2264,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.55998495,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9977999925613403,"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/T10317","display_name":"Advanced Database Systems and Queries","score":0.9848999977111816,"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":0.837843120098114},{"id":"https://openalex.org/keywords/wordnet","display_name":"WordNet","score":0.6711784601211548},{"id":"https://openalex.org/keywords/ontology","display_name":"Ontology","score":0.6637012958526611},{"id":"https://openalex.org/keywords/ontology-based-data-integration","display_name":"Ontology-based data integration","score":0.627820611000061},{"id":"https://openalex.org/keywords/ontology-learning","display_name":"Ontology learning","score":0.59883052110672},{"id":"https://openalex.org/keywords/relational-database","display_name":"Relational database","score":0.5928328037261963},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5469642877578735},{"id":"https://openalex.org/keywords/entity\u2013relationship-model","display_name":"Entity\u2013relationship model","score":0.4219488501548767},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4152732491493225},{"id":"https://openalex.org/keywords/upper-ontology","display_name":"Upper ontology","score":0.4151607155799866},{"id":"https://openalex.org/keywords/relational-model","display_name":"Relational model","score":0.41444677114486694},{"id":"https://openalex.org/keywords/semantic-integration","display_name":"Semantic integration","score":0.41342535614967346},{"id":"https://openalex.org/keywords/suggested-upper-merged-ontology","display_name":"Suggested Upper Merged Ontology","score":0.314558207988739},{"id":"https://openalex.org/keywords/semantic-web","display_name":"Semantic Web","score":0.2559449076652527},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.20741328597068787},{"id":"https://openalex.org/keywords/semantic-web-stack","display_name":"Semantic Web Stack","score":0.16419503092765808}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.837843120098114},{"id":"https://openalex.org/C157659113","wikidata":"https://www.wikidata.org/wiki/Q533822","display_name":"WordNet","level":2,"score":0.6711784601211548},{"id":"https://openalex.org/C25810664","wikidata":"https://www.wikidata.org/wiki/Q44325","display_name":"Ontology","level":2,"score":0.6637012958526611},{"id":"https://openalex.org/C22550185","wikidata":"https://www.wikidata.org/wiki/Q7095047","display_name":"Ontology-based data integration","level":3,"score":0.627820611000061},{"id":"https://openalex.org/C2777002027","wikidata":"https://www.wikidata.org/wiki/Q3620938","display_name":"Ontology learning","level":5,"score":0.59883052110672},{"id":"https://openalex.org/C5655090","wikidata":"https://www.wikidata.org/wiki/Q192588","display_name":"Relational database","level":2,"score":0.5928328037261963},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5469642877578735},{"id":"https://openalex.org/C103593891","wikidata":"https://www.wikidata.org/wiki/Q624546","display_name":"Entity\u2013relationship model","level":3,"score":0.4219488501548767},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4152732491493225},{"id":"https://openalex.org/C78726541","wikidata":"https://www.wikidata.org/wiki/Q3882785","display_name":"Upper ontology","level":3,"score":0.4151607155799866},{"id":"https://openalex.org/C40207289","wikidata":"https://www.wikidata.org/wiki/Q755662","display_name":"Relational model","level":3,"score":0.41444677114486694},{"id":"https://openalex.org/C110903229","wikidata":"https://www.wikidata.org/wiki/Q7449064","display_name":"Semantic integration","level":4,"score":0.41342535614967346},{"id":"https://openalex.org/C50971890","wikidata":"https://www.wikidata.org/wiki/Q7635093","display_name":"Suggested Upper Merged Ontology","level":4,"score":0.314558207988739},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.2559449076652527},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.20741328597068787},{"id":"https://openalex.org/C167379230","wikidata":"https://www.wikidata.org/wiki/Q1026884","display_name":"Semantic Web Stack","level":3,"score":0.16419503092765808},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3302425.3302495","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3302425.3302495","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 International Conference on Algorithms, Computing and Artificial Intelligence","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":12,"referenced_works":["https://openalex.org/W1942169943","https://openalex.org/W2004365372","https://openalex.org/W2019960051","https://openalex.org/W2042377056","https://openalex.org/W2047212128","https://openalex.org/W2058984458","https://openalex.org/W2086310790","https://openalex.org/W2090939768","https://openalex.org/W2153774158","https://openalex.org/W2233982426","https://openalex.org/W2275216626","https://openalex.org/W2964136369"],"related_works":["https://openalex.org/W2043399587","https://openalex.org/W2384218079","https://openalex.org/W4297044271","https://openalex.org/W2072724840","https://openalex.org/W2075489301","https://openalex.org/W4255991504","https://openalex.org/W2024342824","https://openalex.org/W1974558823","https://openalex.org/W3009694037","https://openalex.org/W3114093402"],"abstract_inverted_index":{"As":[0],"a":[1,62],"conceptual":[2,79],"model":[3,81],"and":[4,26,111],"modeling":[5],"tool,":[6],"ontology":[7,44,67],"can":[8,17],"describe":[9],"knowledge":[10],"systems":[11],"at":[12],"the":[13,21,29,73,106,113],"semantic":[14,94],"level,":[15],"it":[16],"also":[18],"effectively":[19],"solve":[20],"problem":[22],"of":[23,31,89,96],"information":[24,32],"integration":[25,33],"sharing.":[27],"In":[28],"research":[30,48],"based":[34],"on":[35],"ontology,":[36],"how":[37],"to":[38,56,84,109],"transform":[39],"relational":[40,51,69,97],"database":[41],"data":[42,103],"into":[43],"is":[45],"an":[46],"important":[47],"direction.":[49],"Since":[50],"databases":[52,98],"are":[53,99],"widely":[54],"used":[55],"store":[57],"data,":[58],"this":[59],"paper":[60],"proposes":[61],"new":[63],"method(WN_Graph)":[64],"for":[65],"learning":[66],"from":[68,105],"database.":[70],"Compared":[71],"with":[72,82],"existing":[74],"methods,":[75],"WN_Graph":[76],"combines":[77],"intermediate":[78],"graph":[80],"WordNet":[83],"get":[85],"more":[86,92],"hierarchical":[87],"relationships":[88,95],"concepts.":[90],"Therefore,":[91],"rich":[93],"extracted.":[100],"We":[101],"use":[102],"set":[104],"medical":[107],"field":[108],"verify":[110],"analyze":[112],"proposed":[114],"method.":[115]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
