{"id":"https://openalex.org/W142538739","doi":"https://doi.org/10.1007/978-3-540-68416-9_4","title":"Conceptual clustering applied to ontologies: a distance-based evolutionary approach","display_name":"Conceptual clustering applied to ontologies: a distance-based evolutionary approach","publication_year":2007,"publication_date":"2007-09-17","ids":{"openalex":"https://openalex.org/W142538739","doi":"https://doi.org/10.1007/978-3-540-68416-9_4","mag":"142538739"},"language":"en","primary_location":{"id":"pmh:oai:CiteSeerX.psu:10.1.1.109.617","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.109.617","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/mcdws2007-postp.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/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":["LACAM, Dipartimento di Informatica, Universit\u00e0 degli studi di Bari, Bari, Italy#TAB#"],"raw_orcid":"https://orcid.org/0000-0002-1075-3239","affiliations":[{"raw_affiliation_string":"LACAM, Dipartimento di Informatica, Universit\u00e0 degli studi di Bari, Bari, Italy#TAB#","institution_ids":["https://openalex.org/I5561750"]}]},{"author_position":"middle","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":false,"raw_author_name":"Nicola Fanizzi","raw_affiliation_strings":["LACAM, Dipartimento di Informatica, Universit\u00e0 degli studi di Bari, Bari, Italy#TAB#"],"raw_orcid":"https://orcid.org/0000-0001-5319-7933","affiliations":[{"raw_affiliation_string":"LACAM, Dipartimento di Informatica, Universit\u00e0 degli studi di Bari, Bari, Italy#TAB#","institution_ids":["https://openalex.org/I5561750"]}]},{"author_position":"last","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":["LACAM, Dipartimento di Informatica, Universit\u00e0 degli studi di Bari, Bari, Italy#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LACAM, Dipartimento di Informatica, Universit\u00e0 degli studi di Bari, Bari, Italy#TAB#","institution_ids":["https://openalex.org/I5561750"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I5561750"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.01482367,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"42","last_page":"56"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.9990000128746033,"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":0.9990000128746033,"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":0.9944000244140625,"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/T11106","display_name":"Data Management and Algorithms","score":0.9911999702453613,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.761698842048645},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6944904923439026},{"id":"https://openalex.org/keywords/ontology","display_name":"Ontology","score":0.551673948764801},{"id":"https://openalex.org/keywords/fitness-function","display_name":"Fitness function","score":0.5219156742095947},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.5168574452400208},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5136929750442505},{"id":"https://openalex.org/keywords/genetic-programming","display_name":"Genetic programming","score":0.4735885262489319},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.47046220302581787},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.42600396275520325},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4204213619232178},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.3539453148841858},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3371819853782654},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2623786926269531},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.07663419842720032}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.761698842048645},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6944904923439026},{"id":"https://openalex.org/C25810664","wikidata":"https://www.wikidata.org/wiki/Q44325","display_name":"Ontology","level":2,"score":0.551673948764801},{"id":"https://openalex.org/C176066374","wikidata":"https://www.wikidata.org/wiki/Q629118","display_name":"Fitness function","level":3,"score":0.5219156742095947},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.5168574452400208},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5136929750442505},{"id":"https://openalex.org/C110332635","wikidata":"https://www.wikidata.org/wiki/Q629498","display_name":"Genetic programming","level":2,"score":0.4735885262489319},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.47046220302581787},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.42600396275520325},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4204213619232178},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.3539453148841858},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3371819853782654},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2623786926269531},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.07663419842720032},{"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":3,"locations":[{"id":"pmh:oai:CiteSeerX.psu:10.1.1.109.617","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.109.617","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/mcdws2007-postp.pdf","raw_type":"text"},{"id":"pmh:oai:ricerca.uniba.it:11586/105987","is_oa":false,"landing_page_url":"http://hdl.handle.net/11586/105987","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:142538739","is_oa":false,"landing_page_url":"https://link.springer.com/content/pdf/10.1007%2F978-3-540-68416-9_4.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306418343","display_name":"European Conference on Principles of Data Mining and Knowledge Discovery","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":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"European Conference on Principles of Data Mining and Knowledge Discovery","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.44999998807907104,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W9652706","https://openalex.org/W101851396","https://openalex.org/W133983291","https://openalex.org/W146868911","https://openalex.org/W156542065","https://openalex.org/W182666420","https://openalex.org/W195919185","https://openalex.org/W299839057","https://openalex.org/W1495619777","https://openalex.org/W1511537177","https://openalex.org/W1518912663","https://openalex.org/W1535708631","https://openalex.org/W1542417898","https://openalex.org/W1557923305","https://openalex.org/W1562168111","https://openalex.org/W1575476631","https://openalex.org/W1579993209","https://openalex.org/W1850829840","https://openalex.org/W1970320342","https://openalex.org/W1975885865","https://openalex.org/W1992419399","https://openalex.org/W2056658050","https://openalex.org/W2117341849","https://openalex.org/W2171975443","https://openalex.org/W2999729612","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W146868911","https://openalex.org/W1580075705","https://openalex.org/W1810491755","https://openalex.org/W94817946","https://openalex.org/W2155564549","https://openalex.org/W2365547119","https://openalex.org/W1579422494","https://openalex.org/W2389120931","https://openalex.org/W2622788982","https://openalex.org/W2052661874","https://openalex.org/W2574057545","https://openalex.org/W2188388094","https://openalex.org/W2086152545","https://openalex.org/W2989803903","https://openalex.org/W2762151930","https://openalex.org/W3151331500","https://openalex.org/W2310775637","https://openalex.org/W2751809418","https://openalex.org/W2047685842","https://openalex.org/W2239161882"],"abstract_inverted_index":{"Abstract.":[0],"A":[1,72],"clustering":[2,92],"method":[3,22,39,85],"is":[4,51,95,107],"presented":[5],"which":[6],"can":[7,23,78],"be":[8,24,79],"applied":[9,102],"to":[10,26,62,103,109],"semantically":[11],"annotated":[12],"resources":[13,31],"in":[14,33],"the":[15,34,46,98,132],"context":[16],"of":[17,30,48,59,65,76,100,113,117,134],"ontological":[18],"knowledge":[19],"bases.":[20],"This":[21],"used":[25],"discover":[27],"emerging":[28],"groupings":[29],"expressed":[32],"standard":[35],"ontology":[36],"languages.":[37],"The":[38,90],"exploits":[40],"a":[41,57,63,82,111,118,123],"language-independent":[42],"semidistance":[43],"measure":[44],"over":[45],"space":[47],"resources,":[49],"that":[50],"based":[52,86,96,121],"on":[53,87,97,122],"their":[54],"semantics":[55],"w.r.t.":[56],"number":[58],"dimensions":[60],"corresponding":[61],"committee":[64],"discriminating":[66,74],"features":[67,77],"represented":[68],"by":[69,115],"concept":[70],"descriptions.":[71],"maximally":[73],"group":[75],"constructed":[80],"through":[81],"feature":[83],"construction":[84],"genetic":[88],"programming.":[89],"evolutionary":[91],"algorithm":[93],"proposed":[94],"notion":[99],"medoids":[101],"relational":[104],"representations.":[105],"It":[106],"able":[108],"induce":[110],"set":[112],"clusters":[114],"means":[116],"fitness":[119],"function":[120],"discernibility":[124],"criterion.":[125],"An":[126],"experimentation":[127],"with":[128],"some":[129],"ontologies":[130],"proves":[131],"feasibility":[133],"our":[135],"method.":[136],"1":[137]},"counts_by_year":[],"updated_date":"2026-07-14T23:32:53.992493","created_date":"2025-10-10T00:00:00"}