{"id":"https://openalex.org/W3083062852","doi":"https://doi.org/10.1109/cec48606.2020.9185681","title":"Grammatical Evolution to Mine OWL Disjointness Axioms Involving Complex Concept Expressions","display_name":"Grammatical Evolution to Mine OWL Disjointness Axioms Involving Complex Concept Expressions","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3083062852","doi":"https://doi.org/10.1109/cec48606.2020.9185681","mag":"3083062852"},"language":"en","primary_location":{"id":"doi:10.1109/cec48606.2020.9185681","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec48606.2020.9185681","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://inria.hal.science/hal-02936253","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5000974303","display_name":"Thu Huong Nguyen","orcid":"https://orcid.org/0000-0003-3744-0467"},"institutions":[{"id":"https://openalex.org/I201841394","display_name":"Universit\u00e9 C\u00f4te d'Azur","ror":"https://ror.org/019tgvf94","country_code":"FR","type":"education","lineage":["https://openalex.org/I201841394"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Thu Huong Nguyen","raw_affiliation_strings":["Universit\u00e9 C\u00f4te d\u2019Azur, Inria, CNRS, I3S, Nice, France","WIMMICS - Web-Instrumented Man-Machine Interactions, Communities and Semantics (France)"],"affiliations":[{"raw_affiliation_string":"Universit\u00e9 C\u00f4te d\u2019Azur, Inria, CNRS, I3S, Nice, France","institution_ids":["https://openalex.org/I201841394","https://openalex.org/I1294671590"]},{"raw_affiliation_string":"WIMMICS - Web-Instrumented Man-Machine Interactions, Communities and Semantics (France)","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079938701","display_name":"Andrea G. B. Tettamanzi","orcid":"https://orcid.org/0000-0002-8877-4654"},"institutions":[{"id":"https://openalex.org/I201841394","display_name":"Universit\u00e9 C\u00f4te d'Azur","ror":"https://ror.org/019tgvf94","country_code":"FR","type":"education","lineage":["https://openalex.org/I201841394"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Andrea G. B. Tettamanzi","raw_affiliation_strings":["Universit\u00e9 C\u00f4te d\u2019Azur, Inria, CNRS, I3S, Nice, France","WIMMICS - Web-Instrumented Man-Machine Interactions, Communities and Semantics (France)"],"affiliations":[{"raw_affiliation_string":"Universit\u00e9 C\u00f4te d\u2019Azur, Inria, CNRS, I3S, Nice, France","institution_ids":["https://openalex.org/I201841394","https://openalex.org/I1294671590"]},{"raw_affiliation_string":"WIMMICS - Web-Instrumented Man-Machine Interactions, Communities and Semantics (France)","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5000974303"],"corresponding_institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I201841394"],"apc_list":null,"apc_paid":null,"fwci":0.3977,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.68754352,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"18","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.9984999895095825,"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":0.9984999895095825,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9944000244140625,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9853000044822693,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/axiom","display_name":"Axiom","score":0.886823296546936},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7282525897026062},{"id":"https://openalex.org/keywords/rdf","display_name":"RDF","score":0.6785397529602051},{"id":"https://openalex.org/keywords/ontology-learning","display_name":"Ontology learning","score":0.6444416642189026},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.5825457572937012},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5275397300720215},{"id":"https://openalex.org/keywords/web-ontology-language","display_name":"Web Ontology Language","score":0.5083498358726501},{"id":"https://openalex.org/keywords/semantic-web","display_name":"Semantic Web","score":0.4901596009731293},{"id":"https://openalex.org/keywords/ontology","display_name":"Ontology","score":0.48555681109428406},{"id":"https://openalex.org/keywords/linked-data","display_name":"Linked data","score":0.4806210398674011},{"id":"https://openalex.org/keywords/knowledge-base","display_name":"Knowledge base","score":0.46995046734809875},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4555540978908539},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44882825016975403},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4462427794933319},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4277627170085907},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19127461314201355},{"id":"https://openalex.org/keywords/upper-ontology","display_name":"Upper ontology","score":0.13010674715042114}],"concepts":[{"id":"https://openalex.org/C167729594","wikidata":"https://www.wikidata.org/wiki/Q17736","display_name":"Axiom","level":2,"score":0.886823296546936},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7282525897026062},{"id":"https://openalex.org/C147497476","wikidata":"https://www.wikidata.org/wiki/Q54872","display_name":"RDF","level":3,"score":0.6785397529602051},{"id":"https://openalex.org/C2777002027","wikidata":"https://www.wikidata.org/wiki/Q3620938","display_name":"Ontology learning","level":5,"score":0.6444416642189026},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.5825457572937012},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5275397300720215},{"id":"https://openalex.org/C101230327","wikidata":"https://www.wikidata.org/wiki/Q826165","display_name":"Web Ontology Language","level":3,"score":0.5083498358726501},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.4901596009731293},{"id":"https://openalex.org/C25810664","wikidata":"https://www.wikidata.org/wiki/Q44325","display_name":"Ontology","level":2,"score":0.48555681109428406},{"id":"https://openalex.org/C69075417","wikidata":"https://www.wikidata.org/wiki/Q515701","display_name":"Linked data","level":3,"score":0.4806210398674011},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.46995046734809875},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4555540978908539},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44882825016975403},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4462427794933319},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4277627170085907},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19127461314201355},{"id":"https://openalex.org/C78726541","wikidata":"https://www.wikidata.org/wiki/Q3882785","display_name":"Upper ontology","level":3,"score":0.13010674715042114},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C50971890","wikidata":"https://www.wikidata.org/wiki/Q7635093","display_name":"Suggested Upper Merged Ontology","level":4,"score":0.0},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cec48606.2020.9185681","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec48606.2020.9185681","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-02936253v1","is_oa":true,"landing_page_url":"https://inria.hal.science/hal-02936253","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"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":"https://wcci2020.org/","raw_type":"Conference papers"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-02936253v1","is_oa":true,"landing_page_url":"https://inria.hal.science/hal-02936253","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"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":"https://wcci2020.org/","raw_type":"Conference papers"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.7799999713897705}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W49093931","https://openalex.org/W69095308","https://openalex.org/W153886719","https://openalex.org/W1641913512","https://openalex.org/W2019950953","https://openalex.org/W2040121225","https://openalex.org/W2130028914","https://openalex.org/W2132232128","https://openalex.org/W2133109597","https://openalex.org/W2150019027","https://openalex.org/W2296218809","https://openalex.org/W2614130269","https://openalex.org/W2889150252","https://openalex.org/W2911262481","https://openalex.org/W2935996209","https://openalex.org/W2950180838","https://openalex.org/W2980705317","https://openalex.org/W4230588984","https://openalex.org/W4293690910","https://openalex.org/W6602023597","https://openalex.org/W6759577966"],"related_works":["https://openalex.org/W2283287182","https://openalex.org/W2776293731","https://openalex.org/W1485690712","https://openalex.org/W82112649","https://openalex.org/W2058923328","https://openalex.org/W3128827045","https://openalex.org/W2945730294","https://openalex.org/W199330785","https://openalex.org/W2054214855","https://openalex.org/W2400121884"],"abstract_inverted_index":{"Discovering":[0],"disjointness":[1,32],"axioms":[2,33,58,70,94],"is":[3,44],"a":[4,23,48,73,78],"very":[5],"important":[6],"task":[7],"in":[8],"ontology":[9],"learning":[10],"and":[11,54,111],"knowledge":[12,81],"base":[13],"enrichment.":[14],"To":[15],"help":[16],"overcome":[17],"the":[18,35,42,56,60,92,100],"knowledge-acquisition":[19],"bottleneck,":[20],"we":[21,64],"propose":[22],"grammar-based":[24],"genetic":[25],"programming":[26],"method":[27,43],"for":[28,52,97],"mining":[29],"OWL":[30],"class":[31],"from":[34],"Web":[36],"of":[37,41,76,84,86],"data.":[38],"The":[39],"effectiveness":[40],"evaluated":[45],"by":[46],"sampling":[47],"large":[49,79],"RDF":[50],"dataset":[51],"training":[53],"testing":[55],"discovered":[57,93],"on":[59,72,99],"full":[61],"dataset.":[62],"First,":[63],"applied":[65],"Grammatical":[66],"Evolution":[67],"to":[68],"discover":[69],"based":[71],"random":[74],"sample":[75],"DBpedia,":[77],"open":[80],"graph":[82],"consisting":[83],"billions":[85],"elementary":[87],"assertions":[88],"(RDF":[89],"triples).":[90],"Then,":[91],"are":[95],"tested":[96],"accuracy":[98],"whole":[101],"DBpedia.":[102],"We":[103],"carried":[104],"out":[105],"experiments":[106],"with":[107],"different":[108],"parameter":[109],"settings":[110],"analyze":[112],"output":[113],"results":[114],"as":[115,117],"well":[116],"suggest":[118],"extensions.":[119]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
