{"id":"https://openalex.org/W2588644810","doi":"https://doi.org/10.1109/nafips.2016.7851633","title":"Crisp to fuzzy ontology conversion in the context of social networks: A new approach","display_name":"Crisp to fuzzy ontology conversion in the context of social networks: A new approach","publication_year":2016,"publication_date":"2016-10-01","ids":{"openalex":"https://openalex.org/W2588644810","doi":"https://doi.org/10.1109/nafips.2016.7851633","mag":"2588644810"},"language":"en","primary_location":{"id":"doi:10.1109/nafips.2016.7851633","is_oa":false,"landing_page_url":"https://doi.org/10.1109/nafips.2016.7851633","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://figshare.com/articles/conference_contribution/Crisp_to_fuzzy_ontology_conversion_in_the_context_of_social_networks_A_new_approach/12847463","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5005467053","display_name":"Hoda Safaeipour","orcid":"https://orcid.org/0000-0003-2200-6860"},"institutions":[{"id":"https://openalex.org/I158248296","display_name":"Amirkabir University of Technology","ror":"https://ror.org/04gzbav43","country_code":"IR","type":"education","lineage":["https://openalex.org/I158248296"]}],"countries":["IR"],"is_corresponding":true,"raw_author_name":"Hoda Safaeipour","raw_affiliation_strings":["Department of Industrial Engineering, Amirkabir university of Technology, Tehran, Iran"],"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering, Amirkabir university of Technology, Tehran, Iran","institution_ids":["https://openalex.org/I158248296"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107430422","display_name":"M.H. Fazel Zarandi","orcid":null},"institutions":[{"id":"https://openalex.org/I158248296","display_name":"Amirkabir University of Technology","ror":"https://ror.org/04gzbav43","country_code":"IR","type":"education","lineage":["https://openalex.org/I158248296"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"M. H. Fazel Zarandi","raw_affiliation_strings":["Department of Industrial Engineering, Amirkabir university of Technology, Tehran, Iran"],"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering, Amirkabir university of Technology, Tehran, Iran","institution_ids":["https://openalex.org/I158248296"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017657295","display_name":"Susan Bastani","orcid":"https://orcid.org/0000-0001-8960-9004"},"institutions":[{"id":"https://openalex.org/I67080706","display_name":"Alzahra University","ror":"https://ror.org/013cdqc34","country_code":"IR","type":"education","lineage":["https://openalex.org/I67080706"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Susan Bastani","raw_affiliation_strings":["Department of social science, Alzahra University, Tehran, Iran, Tehran, Iran"],"affiliations":[{"raw_affiliation_string":"Department of social science, Alzahra University, Tehran, Iran, Tehran, Iran","institution_ids":["https://openalex.org/I67080706"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5005467053"],"corresponding_institution_ids":["https://openalex.org/I158248296"],"apc_list":null,"apc_paid":null,"fwci":0.2257,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.62430939,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"327","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.9955999851226807,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9954000115394592,"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","display_name":"Ontology","score":0.8160205483436584},{"id":"https://openalex.org/keywords/process-ontology","display_name":"Process ontology","score":0.7193137407302856},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7039145231246948},{"id":"https://openalex.org/keywords/ontology-based-data-integration","display_name":"Ontology-based data integration","score":0.6863193511962891},{"id":"https://openalex.org/keywords/upper-ontology","display_name":"Upper ontology","score":0.6202654242515564},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5764206647872925},{"id":"https://openalex.org/keywords/ontology-alignment","display_name":"Ontology alignment","score":0.514956533908844},{"id":"https://openalex.org/keywords/ontology-learning","display_name":"Ontology learning","score":0.4707789123058319},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4627881348133087},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4617031216621399},{"id":"https://openalex.org/keywords/ontology-inference-layer","display_name":"Ontology Inference Layer","score":0.4406072497367859},{"id":"https://openalex.org/keywords/suggested-upper-merged-ontology","display_name":"Suggested Upper Merged Ontology","score":0.4305567145347595},{"id":"https://openalex.org/keywords/owl-s","display_name":"OWL-S","score":0.4299984574317932},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.4284711480140686},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.42126768827438354},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4185669422149658},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35997456312179565},{"id":"https://openalex.org/keywords/semantic-web","display_name":"Semantic Web","score":0.2954099178314209},{"id":"https://openalex.org/keywords/social-semantic-web","display_name":"Social Semantic Web","score":0.12468579411506653}],"concepts":[{"id":"https://openalex.org/C25810664","wikidata":"https://www.wikidata.org/wiki/Q44325","display_name":"Ontology","level":2,"score":0.8160205483436584},{"id":"https://openalex.org/C137003198","wikidata":"https://www.wikidata.org/wiki/Q7247296","display_name":"Process ontology","level":3,"score":0.7193137407302856},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7039145231246948},{"id":"https://openalex.org/C22550185","wikidata":"https://www.wikidata.org/wiki/Q7095047","display_name":"Ontology-based data integration","level":3,"score":0.6863193511962891},{"id":"https://openalex.org/C78726541","wikidata":"https://www.wikidata.org/wiki/Q3882785","display_name":"Upper ontology","level":3,"score":0.6202654242515564},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5764206647872925},{"id":"https://openalex.org/C98893333","wikidata":"https://www.wikidata.org/wiki/Q4339878","display_name":"Ontology alignment","level":4,"score":0.514956533908844},{"id":"https://openalex.org/C2777002027","wikidata":"https://www.wikidata.org/wiki/Q3620938","display_name":"Ontology learning","level":5,"score":0.4707789123058319},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4627881348133087},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4617031216621399},{"id":"https://openalex.org/C115408247","wikidata":"https://www.wikidata.org/wiki/Q3882789","display_name":"Ontology Inference Layer","level":5,"score":0.4406072497367859},{"id":"https://openalex.org/C50971890","wikidata":"https://www.wikidata.org/wiki/Q7635093","display_name":"Suggested Upper Merged Ontology","level":4,"score":0.4305567145347595},{"id":"https://openalex.org/C50382505","wikidata":"https://www.wikidata.org/wiki/Q2553356","display_name":"OWL-S","level":4,"score":0.4299984574317932},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.4284711480140686},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.42126768827438354},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4185669422149658},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35997456312179565},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.2954099178314209},{"id":"https://openalex.org/C534406577","wikidata":"https://www.wikidata.org/wiki/Q7550843","display_name":"Social Semantic Web","level":3,"score":0.12468579411506653},{"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},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/nafips.2016.7851633","is_oa":false,"landing_page_url":"https://doi.org/10.1109/nafips.2016.7851633","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS)","raw_type":"proceedings-article"},{"id":"pmh:oai:figshare.com:article/12847463","is_oa":true,"landing_page_url":null,"pdf_url":"https://figshare.com/articles/conference_contribution/Crisp_to_fuzzy_ontology_conversion_in_the_context_of_social_networks_A_new_approach/12847463","source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},{"id":"pmh:oai:zenodo.org:3985945","is_oa":true,"landing_page_url":"https://doi.org/10.1109/NAFIPS.2016.7851633","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Annu Conf North Am Fuzzy Inf Process Soc NAFIPS, Annual Meeting of the North American Fuzzy Information Processing Society, NAFIPS 2016, El Paso, TX, USA, 31 Oct.-4 Nov. 2016","raw_type":"info:eu-repo/semantics/article"},{"id":"doi:10.6084/m9.figshare.12847463.v1","is_oa":true,"landing_page_url":"https://doi.org/10.6084/m9.figshare.12847463.v1","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:figshare.com:article/12847463","is_oa":true,"landing_page_url":null,"pdf_url":"https://figshare.com/articles/conference_contribution/Crisp_to_fuzzy_ontology_conversion_in_the_context_of_social_networks_A_new_approach/12847463","source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.7799999713897705}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2588644810.pdf","grobid_xml":"https://content.openalex.org/works/W2588644810.grobid-xml"},"referenced_works_count":38,"referenced_works":["https://openalex.org/W54213230","https://openalex.org/W341849427","https://openalex.org/W1500310776","https://openalex.org/W1510272948","https://openalex.org/W1550786841","https://openalex.org/W1561357189","https://openalex.org/W1566952502","https://openalex.org/W1571313004","https://openalex.org/W1583720937","https://openalex.org/W1590571035","https://openalex.org/W1599454686","https://openalex.org/W1970718874","https://openalex.org/W2029199167","https://openalex.org/W2034989007","https://openalex.org/W2035915307","https://openalex.org/W2054756861","https://openalex.org/W2062211238","https://openalex.org/W2062720495","https://openalex.org/W2101161011","https://openalex.org/W2106866704","https://openalex.org/W2118382442","https://openalex.org/W2123982464","https://openalex.org/W2132291647","https://openalex.org/W2133988641","https://openalex.org/W2150192952","https://openalex.org/W2161160262","https://openalex.org/W2164635710","https://openalex.org/W2171998178","https://openalex.org/W2527896264","https://openalex.org/W3147961063","https://openalex.org/W4238782688","https://openalex.org/W4285719527","https://openalex.org/W6602269959","https://openalex.org/W6630318424","https://openalex.org/W6633038126","https://openalex.org/W6633651527","https://openalex.org/W6679923099","https://openalex.org/W6728205102"],"related_works":["https://openalex.org/W2130691104","https://openalex.org/W2072752921","https://openalex.org/W2028429940","https://openalex.org/W2401469280","https://openalex.org/W2369088979","https://openalex.org/W1988347054","https://openalex.org/W2394747331","https://openalex.org/W2139874817","https://openalex.org/W2064503500","https://openalex.org/W2375862234"],"abstract_inverted_index":{"Fuzzy":[0],"ontology":[1,7,63,66,86,95,121],"is":[2],"a":[3,61,81],"generalization":[4],"of":[5,23,31,70,80,84,93,114],"crisp":[6,32,62,85,116],"for":[8,19,44,110],"modeling":[9],"uncertain":[10],"information":[11],"and":[12],"has":[13],"been":[14],"applied":[15],"in":[16,37,47,67,119],"recent":[17],"years":[18],"supporting":[20],"different":[21],"activities":[22],"semantic":[24],"web.":[25],"However,":[26],"there":[27],"are":[28,41],"great":[29],"collections":[30],"ontologies":[33],"developed":[34],"so":[35],"far":[36],"various":[38,115],"domains":[39],"which":[40],"not":[42],"appropriate":[43],"decision":[45],"making":[46],"fuzzy":[48,65,94,120],"environment.":[49],"Accordingly,":[50,106],"this":[51,74],"paper":[52,75],"aims":[53],"at":[54],"presenting":[55],"an":[56,111],"approach":[57,108],"to":[58,64,98,102],"automatically":[59],"convert":[60],"the":[68,78,100,107],"context":[69],"social":[71],"networks.":[72],"Furthermore,":[73],"demonstrates":[76],"that":[77],"combination":[79],"learning":[82,96],"process":[83],"with":[87],"proposed":[88],"approach,":[89],"decreases":[90],"computational":[91],"complexity":[92],"due":[97],"breaking":[99],"task":[101],"two":[103],"optimal":[104],"steps.":[105],"allows":[109],"advantageous":[112],"application":[113],"clustering":[117],"techniques":[118],"context.":[122]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
