{"id":"https://openalex.org/W2399942833","doi":"https://doi.org/10.1007/978-3-642-04125-9","title":"Fuzzy Clustering for Categorical Spaces An Application to Semantic Knowledge Bases","display_name":"Fuzzy Clustering for Categorical Spaces An Application to Semantic Knowledge Bases","publication_year":2009,"publication_date":"2009-01-01","ids":{"openalex":"https://openalex.org/W2399942833","doi":"https://doi.org/10.1007/978-3-642-04125-9","mag":"2399942833"},"language":"en","primary_location":{"id":"pmh:oai:CiteSeerX.psu:10.1.1.164.9470","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.164.9470","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.di.uniba.it/~cdamato/paper_ISMIS_09.pdf","raw_type":"text"},"type":"article","indexed_in":[],"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/A5062940856","display_name":"Nicola Fanizzi","orcid":"https://orcid.org/0000-0001-5319-7933"},"institutions":[{"id":"https://openalex.org/I5561750","display_name":"University of Bari Aldo Moro","ror":"https://ror.org/027ynra39","country_code":"IT","type":"education","lineage":["https://openalex.org/I5561750"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Nicola Fanizzi","raw_affiliation_strings":["University of Bari"],"raw_orcid":"https://orcid.org/0000-0001-5319-7933","affiliations":[{"raw_affiliation_string":"University of Bari","institution_ids":["https://openalex.org/I5561750"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008611990","display_name":"Claudia d\u2019Amato","orcid":"https://orcid.org/0000-0002-3385-987X"},"institutions":[{"id":"https://openalex.org/I5561750","display_name":"University of Bari Aldo Moro","ror":"https://ror.org/027ynra39","country_code":"IT","type":"education","lineage":["https://openalex.org/I5561750"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Claudia d\u2019Amato","raw_affiliation_strings":["University of Bari"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Bari","institution_ids":["https://openalex.org/I5561750"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035635558","display_name":"Floriana Esposito","orcid":"https://orcid.org/0000-0002-1075-3239"},"institutions":[{"id":"https://openalex.org/I5561750","display_name":"University of Bari Aldo Moro","ror":"https://ror.org/027ynra39","country_code":"IT","type":"education","lineage":["https://openalex.org/I5561750"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Floriana Esposito","raw_affiliation_strings":["University of Bari"],"raw_orcid":"https://orcid.org/0000-0002-1075-3239","affiliations":[{"raw_affiliation_string":"University of Bari","institution_ids":["https://openalex.org/I5561750"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5062940856"],"corresponding_institution_ids":["https://openalex.org/I5561750"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.35738923,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.995199978351593,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11106","display_name":"Data Management and Algorithms","score":0.995199978351593,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9932000041007996,"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":0.9922999739646912,"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/cluster-analysis","display_name":"Cluster analysis","score":0.7166914939880371},{"id":"https://openalex.org/keywords/categorical-variable","display_name":"Categorical variable","score":0.6712778210639954},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.6384710073471069},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5299421548843384},{"id":"https://openalex.org/keywords/tuple","display_name":"Tuple","score":0.49017199873924255},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4637157917022705},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45785602927207947},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.44173580408096313},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4375557005405426},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.4216955602169037},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3340423107147217},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.26966428756713867},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.19054362177848816}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7166914939880371},{"id":"https://openalex.org/C5274069","wikidata":"https://www.wikidata.org/wiki/Q2285707","display_name":"Categorical variable","level":2,"score":0.6712778210639954},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.6384710073471069},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5299421548843384},{"id":"https://openalex.org/C118930307","wikidata":"https://www.wikidata.org/wiki/Q600590","display_name":"Tuple","level":2,"score":0.49017199873924255},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4637157917022705},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45785602927207947},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.44173580408096313},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4375557005405426},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.4216955602169037},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3340423107147217},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.26966428756713867},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.19054362177848816}],"mesh":[],"locations_count":3,"locations":[{"id":"pmh:oai:CiteSeerX.psu:10.1.1.164.9470","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.164.9470","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.di.uniba.it/~cdamato/paper_ISMIS_09.pdf","raw_type":"text"},{"id":"pmh:oai:ricerca.uniba.it:11586/114449","is_oa":false,"landing_page_url":"http://hdl.handle.net/11586/114449","pdf_url":null,"source":{"id":"https://openalex.org/S4377196296","display_name":"CINECA IRIS Institutional Research Information System (University of Bari Aldo Moro)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I5561750","host_organization_name":"University of Bari Aldo Moro","host_organization_lineage":["https://openalex.org/I5561750"],"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":"info:eu-repo/semantics/bookPart"},{"id":"mag:2399942833","is_oa":false,"landing_page_url":"http://www.di.uniba.it/~cdamato/paper_ISMIS_09.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.7200000286102295,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1480376833","https://openalex.org/W1518912663","https://openalex.org/W1522217894","https://openalex.org/W1542417898","https://openalex.org/W1545331097","https://openalex.org/W1554944419","https://openalex.org/W1579993209","https://openalex.org/W1604380099","https://openalex.org/W1992419399","https://openalex.org/W2060864690","https://openalex.org/W2129066856","https://openalex.org/W2171975443","https://openalex.org/W2496585406","https://openalex.org/W2799061466","https://openalex.org/W2999729612"],"related_works":["https://openalex.org/W2125510186","https://openalex.org/W1509666417","https://openalex.org/W2184831247","https://openalex.org/W2110592544","https://openalex.org/W2009135239","https://openalex.org/W1996874122","https://openalex.org/W2163697047","https://openalex.org/W2609785842","https://openalex.org/W2026152757","https://openalex.org/W2182563076","https://openalex.org/W2358193615","https://openalex.org/W1996664480","https://openalex.org/W2099301875","https://openalex.org/W2127086272","https://openalex.org/W2057712948","https://openalex.org/W1998969383","https://openalex.org/W2140207040","https://openalex.org/W2391403888","https://openalex.org/W2076028064","https://openalex.org/W2989917598"],"abstract_inverted_index":{"Abstract.":[0],"A":[1],"multi-relational":[2,126],"clustering":[3,51,80,117],"method":[4,110],"is":[5,90],"presented":[6],"which":[7],"can":[8],"be":[9],"applied":[10],"to":[11,41,87],"complex":[12],"knowledge":[13,133],"bases":[14,134],"storing":[15],"resources":[16],"expressed":[17,141],"in":[18,57,96,114,122,135,142],"the":[19,54,64,76,85,97,106,136,143,147],"standard":[20,144],"Semantic":[21,137],"Web":[22,138],"languages.":[23],"It":[24,70],"adopts":[25],"effective":[26],"and":[27,111],"language-independent":[28],"dissimilarity":[29],"measures":[30],"that":[31],"are":[32,129],"based":[33],"on":[34],"a":[35,42],"finite":[36],"number":[37],"of":[38,44,59,67,78,108,116],"dimensions":[39],"corresponding":[40],"committee":[43],"discriminating":[45],"features(represented":[46],"by":[47],"concept":[48],"descriptions).":[49],"The":[50],"algorithm":[52],"expresses":[53],"possible":[55],"clusterings":[56],"tuples":[58],"central":[60],"elements":[61],"(medoids,":[62],"w.r.t.":[63],"given":[65],"metric)":[66],"variable":[68],"length.":[69],"iteratively":[71],"adjusts":[72],"these":[73],"centers":[74],"following":[75],"rationale":[77],"fuzzy":[79],"approach,":[81],"i.e.":[82],"one":[83],"where":[84],"membership":[86],"each":[88],"cluster":[89],"not":[91],"deterministic":[92],"but":[93],"rather":[94],"ranges":[95],"unit":[98],"interval.":[99],"An":[100],"experimentation":[101],"with":[102],"some":[103],"ontologies":[104],"proves":[105],"feasibility":[107],"our":[109],"its":[112],"effectiveness":[113],"terms":[115],"validity":[118],"indices.":[119],"1":[120],"Clustering":[121],"Complex":[123],"Domains":[124],"Recently,":[125],"learning":[127],"methods":[128],"being":[130],"devised":[131],"for":[132],"(henceforth":[139],"SW),":[140],"representations.":[145],"Indeed,":[146],"most":[148],"burdensome":[149],"related":[150],"maintenance":[151],"tasks,":[152],"such":[153],"as":[154],"ontology":[155],"construction,":[156],"refinement":[157]},"counts_by_year":[{"year":2014,"cited_by_count":1}],"updated_date":"2026-04-28T14:05:53.105641","created_date":"2025-10-10T00:00:00"}
