{"id":"https://openalex.org/W2889517031","doi":"https://doi.org/10.30538/oms2018.0030","title":"Ontology similarity computing based on stochastic primal dual coordinate technique","display_name":"Ontology similarity computing based on stochastic primal dual coordinate technique","publication_year":2018,"publication_date":"2018-08-29","ids":{"openalex":"https://openalex.org/W2889517031","doi":"https://doi.org/10.30538/oms2018.0030","mag":"2889517031"},"language":"en","primary_location":{"id":"doi:10.30538/oms2018.0030","doi":"https://doi.org/10.30538/oms2018.0030","is_oa":true,"landing_page_url":"https://doi.org/10.30538/oms2018.0030","pdf_url":"https://doi.org/10.30538/oms2018.0030","source":{"id":"https://openalex.org/S4210218690","display_name":"Open Journal of Mathematical Sciences","issn_l":"2523-0212","issn":["2523-0212","2616-4906"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-1"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Open Journal of Mathematical Sciences","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.30538/oms2018.0030","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Guoshun Liu","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210144214","display_name":"Jiangsu University of Technology","ror":"https://ror.org/04jabhf80","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210144214"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoshun Liu","raw_affiliation_strings":["School of Mathematics and Physics, Jiangsu University of Technology, Changzhou 213001, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics and Physics, Jiangsu University of Technology, Changzhou 213001, China","institution_ids":["https://openalex.org/I4210144214"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049185684","display_name":"Zhiyang Jia","orcid":"https://orcid.org/0000-0002-2709-5498","observed_orcids":["https://orcid.org/0000-0002-2709-5498","https://orcid.org/0009-0002-0216-1599"]},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiyang Jia","raw_affiliation_strings":["Tourism and culture college, Yunnan University, Lijiang 674100, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tourism and culture college, Yunnan University, Lijiang 674100, China","institution_ids":["https://openalex.org/I189210763"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013305424","display_name":"Wei Gao","orcid":"https://orcid.org/0000-0003-0752-1602","observed_orcids":["https://orcid.org/0000-0003-0752-1602"]},"institutions":[{"id":"https://openalex.org/I120825670","display_name":"Yunnan Normal University","ror":"https://ror.org/00sc9n023","country_code":"CN","type":"education","lineage":["https://openalex.org/I120825670"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Gao","raw_affiliation_strings":["School of Information Science and Technology,Yunnan Normal University, Kunming 650500, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology,Yunnan Normal University, Kunming 650500, China","institution_ids":["https://openalex.org/I120825670"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.573,"has_fulltext":true,"cited_by_count":14,"citation_normalized_percentile":{"value":0.86227458,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":99},"biblio":{"volume":"2(2018)","issue":"1","first_page":"221","last_page":"227"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.9839000105857849,"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":0.9839000105857849,"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/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.0032999999821186066,"subfield":{"id":"https://openalex.org/subfields/2718","display_name":"Health Informatics"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.00279999990016222,"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/ontology-similarity","display_name":"ontology similarity","score":0.9800000190734863},{"id":"https://openalex.org/keywords/ontology-mapping","display_name":"ontology mapping","score":0.7039999961853027},{"id":"https://openalex.org/keywords/conceptual-similarity","display_name":"concept similarity","score":0.6930000185966492},{"id":"https://openalex.org/keywords/ontology-learning","display_name":"ontology learning","score":0.8539999723434448},{"id":"https://openalex.org/keywords/concept-embeddings","display_name":"concept embeddings","score":0.335999995470047},{"id":"https://openalex.org/keywords/coordinate-descent","display_name":"coordinate descent","score":0.5680000185966492}],"concepts":[{"id":"https://openalex.org/C25810664","wikidata":"https://www.wikidata.org/wiki/Q44325","display_name":"Ontology","level":2,"score":0.8282046318054199},{"id":"https://openalex.org/C22550185","wikidata":"https://www.wikidata.org/wiki/Q7095047","display_name":"Ontology-based data integration","level":3,"score":0.7211182117462158},{"id":"https://openalex.org/C98893333","wikidata":"https://www.wikidata.org/wiki/Q4339878","display_name":"Ontology alignment","level":4,"score":0.6962457895278931},{"id":"https://openalex.org/C78726541","wikidata":"https://www.wikidata.org/wiki/Q3882785","display_name":"Upper ontology","level":3,"score":0.6840754747390747},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6522444486618042},{"id":"https://openalex.org/C50971890","wikidata":"https://www.wikidata.org/wiki/Q7635093","display_name":"Suggested Upper Merged Ontology","level":4,"score":0.6167798638343811},{"id":"https://openalex.org/C137003198","wikidata":"https://www.wikidata.org/wiki/Q7247296","display_name":"Process ontology","level":3,"score":0.5920236110687256},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5045913457870483},{"id":"https://openalex.org/C154210476","wikidata":"https://www.wikidata.org/wiki/Q7095057","display_name":"Ontology components","level":5,"score":0.49031952023506165},{"id":"https://openalex.org/C2777002027","wikidata":"https://www.wikidata.org/wiki/Q3620938","display_name":"Ontology learning","level":5,"score":0.47427091002464294},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.46965399384498596},{"id":"https://openalex.org/C110903229","wikidata":"https://www.wikidata.org/wiki/Q7449064","display_name":"Semantic integration","level":4,"score":0.4663386046886444},{"id":"https://openalex.org/C115408247","wikidata":"https://www.wikidata.org/wiki/Q3882789","display_name":"Ontology Inference Layer","level":5,"score":0.4421751797199249},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.42071861028671265},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3273148536682129},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2715260982513428},{"id":"https://openalex.org/C50382505","wikidata":"https://www.wikidata.org/wiki/Q2553356","display_name":"OWL-S","level":4,"score":0.2222258746623993},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.1269707977771759},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.05913203954696655},{"id":"https://openalex.org/C511149849","wikidata":"https://www.wikidata.org/wiki/Q7449051","display_name":"Semantic computing","level":3,"score":0.050774991512298584},{"id":"https://openalex.org/C167379230","wikidata":"https://www.wikidata.org/wiki/Q1026884","display_name":"Semantic Web Stack","level":3,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.30538/oms2018.0030","doi":"https://doi.org/10.30538/oms2018.0030","is_oa":true,"landing_page_url":"https://doi.org/10.30538/oms2018.0030","pdf_url":"https://doi.org/10.30538/oms2018.0030","source":{"id":"https://openalex.org/S4210218690","display_name":"Open Journal of Mathematical Sciences","issn_l":"2523-0212","issn":["2523-0212","2616-4906"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-1"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Open Journal of Mathematical Sciences","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:ab4ddef7d49e40dca6eb2e7302da9051","doi":null,"is_oa":true,"landing_page_url":"https://doaj.org/article/ab4ddef7d49e40dca6eb2e7302da9051","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Open Journal of Mathematical Sciences, Vol 2, Iss 1, Pp 221-227 (2018)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.30538/oms2018.0030","doi":"https://doi.org/10.30538/oms2018.0030","is_oa":true,"landing_page_url":"https://doi.org/10.30538/oms2018.0030","pdf_url":"https://doi.org/10.30538/oms2018.0030","source":{"id":"https://openalex.org/S4210218690","display_name":"Open Journal of Mathematical Sciences","issn_l":"2523-0212","issn":["2523-0212","2616-4906"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-1"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Open Journal of Mathematical Sciences","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2889517031.pdf","grobid_xml":"https://content.openalex.org/works/W2889517031.grobid-xml"},"referenced_works_count":15,"referenced_works":["https://openalex.org/W2327279708","https://openalex.org/W2378073801","https://openalex.org/W2758717852","https://openalex.org/W2758918273","https://openalex.org/W2762890495","https://openalex.org/W2789559913","https://openalex.org/W2795061850","https://openalex.org/W2795340890","https://openalex.org/W2804911821","https://openalex.org/W2872160748","https://openalex.org/W2883904729","https://openalex.org/W2914508439","https://openalex.org/W2964226597","https://openalex.org/W3205975889","https://openalex.org/W4391285994"],"related_works":["https://openalex.org/W1965364612","https://openalex.org/W2887825418","https://openalex.org/W2397825091","https://openalex.org/W2898942382","https://openalex.org/W2359240758","https://openalex.org/W2184686878","https://openalex.org/W2514538770","https://openalex.org/W2605205046","https://openalex.org/W2466985653","https://openalex.org/W2293073117"],"abstract_inverted_index":{"With":[0],"the":[1,7,15,34,38,47,59,65,101],"extensive":[2],"application":[3],"of":[4,9,28,40,71,91,103],"ontology":[5,25,29,35,41,51,72,86,106],"in":[6,24,49,89],"fields":[8],"information":[10],"retrieval":[11],"and":[12,56,97],"artificial":[13],"intelligence,":[14],"ontology-based":[16],"conceptual":[17],"similarity":[18,60,87],"calculation":[19],"becomes":[20],"a":[21],"hot":[22],"topic":[23],"research.The":[26],"essence":[27,70],"learning":[30,39],"is":[31,74],"to":[32,45,75],"obtain":[33],"function":[36],"through":[37],"samples,":[42],"so":[43],"as":[44],"map":[46],"vertices":[48],"each":[50],"graph":[52],"into":[53],"real":[54,68],"numbers,":[55],"finally":[57],"determine":[58],"between":[61,67],"corresponding":[62],"concepts":[63,77],"by":[64],"difference":[66],"numbers.The":[69],"mapping":[73],"calculate":[76],"from":[78],"different":[79],"ontologies.In":[80],"this":[81],"paper,":[82],"we":[83],"introduce":[84],"new":[85],"computing":[88],"view":[90],"stochastic":[92],"primal":[93],"dual":[94],"coordinate":[95],"method,":[96],"two":[98],"experiments":[99],"show":[100],"effectiveness":[102],"our":[104],"proposed":[105],"algorithm.":[107]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":9}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2018-09-07T00:00:00"}
