{"id":"https://openalex.org/W3019442160","doi":"https://doi.org/10.1109/access.2020.2988689","title":"A Similarity Measure in Formal Concept Analysis Containing General Semantic Information and Domain Information","display_name":"A Similarity Measure in Formal Concept Analysis Containing General Semantic Information and Domain Information","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3019442160","doi":"https://doi.org/10.1109/access.2020.2988689","mag":"3019442160"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.2988689","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2988689","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09072138.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09072138.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101659082","display_name":"Fugang Wang","orcid":"https://orcid.org/0000-0002-0829-4897"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]},{"id":"https://openalex.org/I4210116828","display_name":"Mudanjiang Normal University","ror":"https://ror.org/02dzkdp68","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210116828"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fugang Wang","raw_affiliation_strings":["College of Computer Science and Technology, Harbin Engineering University, Harbin, China","School of Physics and Electronic Engineering, Mudanjiang Normal University, Mudanjiang, China"],"raw_orcid":"https://orcid.org/0000-0002-0829-4897","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Harbin Engineering University, Harbin, China","institution_ids":["https://openalex.org/I151727225"]},{"raw_affiliation_string":"School of Physics and Electronic Engineering, Mudanjiang Normal University, Mudanjiang, China","institution_ids":["https://openalex.org/I4210116828"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031640535","display_name":"Nianbin Wang","orcid":"https://orcid.org/0000-0003-1738-7937"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nianbin Wang","raw_affiliation_strings":["College of Computer Science and Technology, Harbin Engineering University, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0003-1738-7937","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Harbin Engineering University, Harbin, China","institution_ids":["https://openalex.org/I151727225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111856981","display_name":"Shaobin Cai","orcid":null},"institutions":[{"id":"https://openalex.org/I14894300","display_name":"Foshan University","ror":"https://ror.org/02xvvvp28","country_code":"CN","type":"education","lineage":["https://openalex.org/I14894300"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaobin Cai","raw_affiliation_strings":["School of Electronic Information Engineering, Foshan University, Foshan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic Information Engineering, Foshan University, Foshan, China","institution_ids":["https://openalex.org/I14894300"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073850565","display_name":"Wulin Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210116828","display_name":"Mudanjiang Normal University","ror":"https://ror.org/02dzkdp68","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210116828"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wulin Zhang","raw_affiliation_strings":["School of Physics and Electronic Engineering, Mudanjiang Normal University, Mudanjiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Physics and Electronic Engineering, Mudanjiang Normal University, Mudanjiang, China","institution_ids":["https://openalex.org/I4210116828"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.1655,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.83216737,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"8","issue":null,"first_page":"75303","last_page":"75312"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9923999905586243,"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/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9922999739646912,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8138493299484253},{"id":"https://openalex.org/keywords/semantic-similarity","display_name":"Semantic similarity","score":0.7537374496459961},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5812982320785522},{"id":"https://openalex.org/keywords/ontology","display_name":"Ontology","score":0.5674996376037598},{"id":"https://openalex.org/keywords/formal-concept-analysis","display_name":"Formal concept analysis","score":0.5508428812026978},{"id":"https://openalex.org/keywords/knowledge-base","display_name":"Knowledge base","score":0.5457538366317749},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.527239978313446},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4927723705768585},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4707237780094147},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.46168532967567444},{"id":"https://openalex.org/keywords/similarity-measure","display_name":"Similarity measure","score":0.4569772183895111},{"id":"https://openalex.org/keywords/domain-knowledge","display_name":"Domain knowledge","score":0.45059216022491455},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.43621063232421875},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.41873103380203247},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4044165015220642},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2617584466934204},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12178400158882141},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.09693008661270142}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8138493299484253},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.7537374496459961},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5812982320785522},{"id":"https://openalex.org/C25810664","wikidata":"https://www.wikidata.org/wiki/Q44325","display_name":"Ontology","level":2,"score":0.5674996376037598},{"id":"https://openalex.org/C76363472","wikidata":"https://www.wikidata.org/wiki/Q1437394","display_name":"Formal concept analysis","level":2,"score":0.5508428812026978},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.5457538366317749},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.527239978313446},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4927723705768585},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4707237780094147},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.46168532967567444},{"id":"https://openalex.org/C2776517306","wikidata":"https://www.wikidata.org/wiki/Q29017317","display_name":"Similarity measure","level":2,"score":0.4569772183895111},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.45059216022491455},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.43621063232421875},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.41873103380203247},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4044165015220642},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2617584466934204},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12178400158882141},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.09693008661270142},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.2988689","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2988689","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09072138.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:fa875ad7115c422caacd2e2798cf44c0","is_oa":true,"landing_page_url":"https://doaj.org/article/fa875ad7115c422caacd2e2798cf44c0","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,"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":"IEEE Access, Vol 8, Pp 75303-75312 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.2988689","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2988689","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09072138.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5706948923","display_name":"\u57fa\u4e8e\u6df1\u5ea6\u5b66\u4e60\u7684\u6c34\u4e0b\u590d\u6742\u73af\u5883\u611f\u77e5\u5173\u952e\u6280\u672f\u7814\u7a76","funder_award_id":"61772152","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"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3019442160.pdf","grobid_xml":"https://content.openalex.org/works/W3019442160.grobid-xml"},"referenced_works_count":53,"referenced_works":["https://openalex.org/W11218446","https://openalex.org/W91252228","https://openalex.org/W1513858128","https://openalex.org/W1614298861","https://openalex.org/W1647729745","https://openalex.org/W1851672339","https://openalex.org/W1979862119","https://openalex.org/W1988856126","https://openalex.org/W1991472794","https://openalex.org/W1991761908","https://openalex.org/W1994221920","https://openalex.org/W2031920400","https://openalex.org/W2045758609","https://openalex.org/W2049304696","https://openalex.org/W2056988134","https://openalex.org/W2058708934","https://openalex.org/W2059975159","https://openalex.org/W2062031163","https://openalex.org/W2080090262","https://openalex.org/W2147804410","https://openalex.org/W2171916645","https://openalex.org/W2250539671","https://openalex.org/W2272102317","https://openalex.org/W2294133533","https://openalex.org/W2345784746","https://openalex.org/W2474271583","https://openalex.org/W2515024084","https://openalex.org/W2561529111","https://openalex.org/W2605630617","https://openalex.org/W2768296059","https://openalex.org/W2789707862","https://openalex.org/W2803364173","https://openalex.org/W2889837801","https://openalex.org/W2896457183","https://openalex.org/W2910197980","https://openalex.org/W2917534618","https://openalex.org/W2927103915","https://openalex.org/W2937960099","https://openalex.org/W2963626623","https://openalex.org/W2963850840","https://openalex.org/W2964109882","https://openalex.org/W2964561442","https://openalex.org/W3098865490","https://openalex.org/W3100349778","https://openalex.org/W4294367149","https://openalex.org/W6636510571","https://openalex.org/W6636975626","https://openalex.org/W6719819555","https://openalex.org/W6730529904","https://openalex.org/W6747248625","https://openalex.org/W6748620808","https://openalex.org/W6755207826","https://openalex.org/W6785792026"],"related_works":["https://openalex.org/W2385621242","https://openalex.org/W2367629516","https://openalex.org/W2086580554","https://openalex.org/W2553860513","https://openalex.org/W1986001501","https://openalex.org/W2353740909","https://openalex.org/W2475408106","https://openalex.org/W2592721119","https://openalex.org/W4386298164","https://openalex.org/W1523252224"],"abstract_inverted_index":{"Formal":[0],"concept":[1,98],"analysis":[2],"(FCA)":[3],"gets":[4],"into":[5],"good":[6],"graces":[7],"by":[8],"increasing":[9],"big":[10],"data":[11,152],"scientists":[12],"due":[13],"to":[14,24,58,71,127,144],"its":[15],"unique":[16],"advantages.":[17],"Concept":[18],"similarity":[19,99,158],"measurement":[20],"is":[21,66],"the":[22,25,30,60,103,113,123,129,146,151,157],"key":[23],"FCA-based":[26],"application.":[27],"Most":[28],"of":[29,125,141,160],"previous":[31],"methods":[32,46,70],"are":[33,80],"based":[34],"on":[35,48,53],"set":[36],"theory":[37],"and":[38,109,164,173,179],"less":[39],"concerned":[40],"with":[41,190,203],"semantic":[42,49,62,130,139],"information,":[43],"whereas":[44],"those":[45],"focusing":[47],"information":[50,105,111,131,148],"usually":[51],"rely":[52],"ontologies":[54],"or":[55,186],"knowledge":[56,69,74,107,134,183],"bases":[57,108,135],"obtain":[59,72,128,145],"relevant":[61],"knowledge.":[63],"However,":[64],"it":[65,174],"difficult":[67],"for":[68,84],"domain":[73,85,147,169],"in":[75,106,112,132,150,167],"formal":[76,97,114,171],"contexts":[77],"(datasets),":[78],"which":[79],"not":[81],"suited":[82],"well":[83],"text":[86],"data.":[87],"To":[88],"tackle":[89],"these":[90],"problems,":[91],"this":[92,197],"paper":[93],"proposes":[94],"a":[95,168,200],"novel":[96,138],"measure":[100,156],"that":[101,196],"synthesizes":[102],"Semantic":[104],"Domain":[110],"context":[115],"(S&D":[116],"measure).":[117],"S&D":[118],"uses":[119],"word":[120],"vectors":[121],"as":[122],"representations":[124],"words":[126,143],"general":[133],"while":[136],"defining":[137],"relations":[140],"intent":[142],"contained":[149],"itself.":[153],"It":[154],"can":[155,175],"relation":[159],"concepts":[161],"more":[162],"comprehensively":[163],"precisely,":[165],"particularly":[166],"textual":[170],"context,":[172],"be":[176],"implemented":[177],"automatically":[178],"unsupervisedly":[180],"without":[181],"any":[182],"base,":[184],"ontology":[185],"external":[187],"corpus.":[188],"Compared":[189],"other":[191],"related":[192],"works,":[193],"experiments":[194],"show":[195],"method":[198],"has":[199],"better":[201],"correlation":[202],"human":[204],"judgment.":[205]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
