{"id":"https://openalex.org/W2794602614","doi":"https://doi.org/10.4018/ijcini.2018040106","title":"A Semantic Information Content Based Method for Evaluating FCA Concept Similarity","display_name":"A Semantic Information Content Based Method for Evaluating FCA Concept Similarity","publication_year":2018,"publication_date":"2018-03-27","ids":{"openalex":"https://openalex.org/W2794602614","doi":"https://doi.org/10.4018/ijcini.2018040106","mag":"2794602614"},"language":"en","primary_location":{"id":"doi:10.4018/ijcini.2018040106","is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijcini.2018040106","pdf_url":null,"source":{"id":"https://openalex.org/S157664362","display_name":"International Journal of Cognitive Informatics and Natural Intelligence","issn_l":"1557-3958","issn":["1557-3958","1557-3966"],"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 Cognitive Informatics and Natural 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/A5109136064","display_name":"Hongtao Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I75955062","display_name":"Henan Normal University","ror":"https://ror.org/00s13br28","country_code":"CN","type":"education","lineage":["https://openalex.org/I75955062"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongtao Huang","raw_affiliation_strings":["Engineering Research Center of Henan Provincial Universities for Educational Information, Henan Normal University, Xinxiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Engineering Research Center of Henan Provincial Universities for Educational Information, Henan Normal University, Xinxiang, China","institution_ids":["https://openalex.org/I75955062"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020162828","display_name":"Liang Cun-liang","orcid":null},"institutions":[{"id":"https://openalex.org/I75955062","display_name":"Henan Normal University","ror":"https://ror.org/00s13br28","country_code":"CN","type":"education","lineage":["https://openalex.org/I75955062"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cunliang Liang","raw_affiliation_strings":["Engineering Research Center of Henan Provincial Universities for Educational Information, Henan Normal University, Xinxiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Engineering Research Center of Henan Provincial Universities for Educational Information, Henan Normal University, Xinxiang, China","institution_ids":["https://openalex.org/I75955062"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030631912","display_name":"Haizhi Ye","orcid":null},"institutions":[{"id":"https://openalex.org/I75955062","display_name":"Henan Normal University","ror":"https://ror.org/00s13br28","country_code":"CN","type":"education","lineage":["https://openalex.org/I75955062"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haizhi Ye","raw_affiliation_strings":["Engineering Research Center of Henan Provincial Universities for Educational Information, Henan Normal University, Xinxiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Engineering Research Center of Henan Provincial Universities for Educational Information, Henan Normal University, Xinxiang, China","institution_ids":["https://openalex.org/I75955062"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I75955062"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.03275314,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"12","issue":"2","first_page":"77","last_page":"93"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9793000221252441,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9793000221252441,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.9472000002861023,"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9151999950408936,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8127195835113525},{"id":"https://openalex.org/keywords/semantic-similarity","display_name":"Semantic similarity","score":0.7283544540405273},{"id":"https://openalex.org/keywords/content","display_name":"Content (measure theory)","score":0.5530607104301453},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5497720837593079},{"id":"https://openalex.org/keywords/ontology","display_name":"Ontology","score":0.5099982023239136},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5053442120552063},{"id":"https://openalex.org/keywords/superordinate-goals","display_name":"Superordinate goals","score":0.45319071412086487},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.43710464239120483},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.43699273467063904},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3834717273712158},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3501286208629608},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33784371614456177},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15830302238464355}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8127195835113525},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.7283544540405273},{"id":"https://openalex.org/C2778152352","wikidata":"https://www.wikidata.org/wiki/Q5165061","display_name":"Content (measure theory)","level":2,"score":0.5530607104301453},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5497720837593079},{"id":"https://openalex.org/C25810664","wikidata":"https://www.wikidata.org/wiki/Q44325","display_name":"Ontology","level":2,"score":0.5099982023239136},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5053442120552063},{"id":"https://openalex.org/C78022038","wikidata":"https://www.wikidata.org/wiki/Q7644082","display_name":"Superordinate goals","level":2,"score":0.45319071412086487},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.43710464239120483},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.43699273467063904},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3834717273712158},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3501286208629608},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33784371614456177},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15830302238464355},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"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/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.4018/ijcini.2018040106","is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijcini.2018040106","pdf_url":null,"source":{"id":"https://openalex.org/S157664362","display_name":"International Journal of Cognitive Informatics and Natural Intelligence","issn_l":"1557-3958","issn":["1557-3958","1557-3966"],"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 Cognitive Informatics and Natural Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:igg:jcini0:v:12:y:2018:i:2:p:77-93","is_oa":false,"landing_page_url":"https://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJCINI.2018040106","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":22,"referenced_works":["https://openalex.org/W1502916596","https://openalex.org/W1760966265","https://openalex.org/W1972301089","https://openalex.org/W1978697738","https://openalex.org/W1980885411","https://openalex.org/W1994221920","https://openalex.org/W2058708934","https://openalex.org/W2097488827","https://openalex.org/W2100935296","https://openalex.org/W2110867487","https://openalex.org/W2123457740","https://openalex.org/W2134126205","https://openalex.org/W2164508904","https://openalex.org/W2215513433","https://openalex.org/W2304040102","https://openalex.org/W2347084840","https://openalex.org/W2519283440","https://openalex.org/W2534712034","https://openalex.org/W2547331894","https://openalex.org/W2591833859","https://openalex.org/W2953332543","https://openalex.org/W3181146048"],"related_works":["https://openalex.org/W2393185060","https://openalex.org/W2564015900","https://openalex.org/W1487284788","https://openalex.org/W2963829519","https://openalex.org/W1140107","https://openalex.org/W1787541010","https://openalex.org/W2591924737","https://openalex.org/W2147243590","https://openalex.org/W2252005665","https://openalex.org/W3078371441"],"abstract_inverted_index":{"Probability":[0],"information":[1,23,41,67,83,110,118,126,160,173],"content-based":[2,42],"FCA":[3,28,45,132,163],"concepts":[4,13,64,77],"similarity":[5,47,85,134,151,165],"computation":[6,166],"method":[7,43,107,167,176],"relies":[8],"on":[9],"the":[10,19,52,57,71,81,90,100,114,137,147,150,169],"frequency":[11],"of":[12,63,76,92,116,122,149,171,180],"in":[14,49],"corpus,":[15],"it":[16,55],"takes":[17,56],"only":[18],"occurrence":[20,53],"probability":[21,109],"as":[22],"content":[24,84,111,119,127,161,174],"metric":[25],"to":[26,33,51,65,144],"compute":[27],"concept":[29,46,133,164],"similarity,":[30],"which":[31,69,96],"leads":[32],"lower":[34],"accuracy.":[35],"This":[36],"article":[37],"introduces":[38],"a":[39],"semantic":[40,61,82,117,125,159],"for":[44,131],"evaluation,":[48,135],"addition":[50],"probability,":[54],"superordinate":[58],"and":[59,73,108,136],"subordinate":[60],"relationship":[62],"measure":[66],"content,":[68],"makes":[70],"generic":[72],"specific":[74],"degree":[75],"more":[78],"accurate.":[79],"Then":[80],"can":[86,128],"be":[87,129],"calculated":[88],"with":[89],"help":[91,145],"an":[93],"ISA":[94],"hierarchy":[95],"is":[97,112,120,141],"derived":[98],"from":[99],"domain":[101],"ontology.":[102],"The":[103,153],"difference":[104],"between":[105],"this":[106,158],"that":[113,157],"evaluation":[115],"independent":[121],"corpus.":[123],"Furthermore,":[124],"used":[130],"weighted":[138],"bipartite":[139],"graph":[140],"also":[142],"utilized":[143],"improve":[146],"efficiency":[148],"evaluation.":[152],"experimental":[154],"results":[155],"show":[156],"based":[162,175],"improves":[168],"accuracy":[170],"probabilistic":[172],"effectively":[177],"without":[178],"loss":[179],"time":[181],"performance.":[182]},"counts_by_year":[],"updated_date":"2026-06-11T06:19:23.411458","created_date":"2025-10-10T00:00:00"}
