{"id":"https://openalex.org/W2608149786","doi":"https://doi.org/10.1109/sitis.2016.52","title":"A Method to Validate the Insertion of a New Concept in an Ontology","display_name":"A Method to Validate the Insertion of a New Concept in an Ontology","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2608149786","doi":"https://doi.org/10.1109/sitis.2016.52","mag":"2608149786"},"language":"en","primary_location":{"id":"doi:10.1109/sitis.2016.52","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sitis.2016.52","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 12th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5000349604","display_name":"Aly Ngon\u00e9 Ngom","orcid":"https://orcid.org/0009-0004-3601-4663"},"institutions":[{"id":"https://openalex.org/I112713213","display_name":"Universit\u00e9 Gaston Berger","ror":"https://ror.org/01jp0tk64","country_code":"SN","type":"education","lineage":["https://openalex.org/I112713213"]}],"countries":["SN"],"is_corresponding":false,"raw_author_name":"Aly Ngone Ngom","raw_affiliation_strings":["Universite Gaston Berger, Saint-Louis, SN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universite Gaston Berger, Saint-Louis, SN","institution_ids":["https://openalex.org/I112713213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037436265","display_name":"Papa Fary Diallo","orcid":null},"institutions":[{"id":"https://openalex.org/I112713213","display_name":"Universit\u00e9 Gaston Berger","ror":"https://ror.org/01jp0tk64","country_code":"SN","type":"education","lineage":["https://openalex.org/I112713213"]}],"countries":["SN"],"is_corresponding":false,"raw_author_name":"Papa Fary Diallo","raw_affiliation_strings":["Universite Gaston Berger, Saint-Louis, SN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universite Gaston Berger, Saint-Louis, SN","institution_ids":["https://openalex.org/I112713213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011573548","display_name":"Fatou Kamara-Sangar\u00e9","orcid":null},"institutions":[{"id":"https://openalex.org/I112713213","display_name":"Universit\u00e9 Gaston Berger","ror":"https://ror.org/01jp0tk64","country_code":"SN","type":"education","lineage":["https://openalex.org/I112713213"]}],"countries":["SN"],"is_corresponding":false,"raw_author_name":"Fatou Kamara-Sangare","raw_affiliation_strings":["LANI, Gaston Berger University, Senegal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LANI, Gaston Berger University, Senegal","institution_ids":["https://openalex.org/I112713213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011171046","display_name":"Moussa L\u00f4","orcid":null},"institutions":[{"id":"https://openalex.org/I112713213","display_name":"Universit\u00e9 Gaston Berger","ror":"https://ror.org/01jp0tk64","country_code":"SN","type":"education","lineage":["https://openalex.org/I112713213"]}],"countries":["SN"],"is_corresponding":false,"raw_author_name":"Moussa Lo","raw_affiliation_strings":["LANI, Gaston Berger University, Senegal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LANI, Gaston Berger University, Senegal","institution_ids":["https://openalex.org/I112713213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I112713213"],"apc_list":null,"apc_paid":null,"fwci":2.3295,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.91766286,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"4","issue":null,"first_page":"275","last_page":"281"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9939000010490417,"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/T10679","display_name":"Service-Oriented Architecture and Web Services","score":0.993399977684021,"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/ontology","display_name":"Ontology","score":0.8452194929122925},{"id":"https://openalex.org/keywords/ontology-based-data-integration","display_name":"Ontology-based data integration","score":0.8096670508384705},{"id":"https://openalex.org/keywords/suggested-upper-merged-ontology","display_name":"Suggested Upper Merged Ontology","score":0.779676079750061},{"id":"https://openalex.org/keywords/upper-ontology","display_name":"Upper ontology","score":0.7796101570129395},{"id":"https://openalex.org/keywords/ontology-alignment","display_name":"Ontology alignment","score":0.7632673978805542},{"id":"https://openalex.org/keywords/process-ontology","display_name":"Process ontology","score":0.7612839937210083},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7598980665206909},{"id":"https://openalex.org/keywords/wordnet","display_name":"WordNet","score":0.6263942718505859},{"id":"https://openalex.org/keywords/open-biomedical-ontologies","display_name":"Open Biomedical Ontologies","score":0.6234283447265625},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.6193746328353882},{"id":"https://openalex.org/keywords/ontology-inference-layer","display_name":"Ontology Inference Layer","score":0.5881919264793396},{"id":"https://openalex.org/keywords/ontology-components","display_name":"Ontology components","score":0.5088129639625549},{"id":"https://openalex.org/keywords/semantic-similarity","display_name":"Semantic similarity","score":0.4505990147590637},{"id":"https://openalex.org/keywords/owl-s","display_name":"OWL-S","score":0.36917805671691895},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3316107988357544},{"id":"https://openalex.org/keywords/semantic-web","display_name":"Semantic Web","score":0.16275069117546082},{"id":"https://openalex.org/keywords/semantic-web-stack","display_name":"Semantic Web Stack","score":0.07330891489982605}],"concepts":[{"id":"https://openalex.org/C25810664","wikidata":"https://www.wikidata.org/wiki/Q44325","display_name":"Ontology","level":2,"score":0.8452194929122925},{"id":"https://openalex.org/C22550185","wikidata":"https://www.wikidata.org/wiki/Q7095047","display_name":"Ontology-based data integration","level":3,"score":0.8096670508384705},{"id":"https://openalex.org/C50971890","wikidata":"https://www.wikidata.org/wiki/Q7635093","display_name":"Suggested Upper Merged Ontology","level":4,"score":0.779676079750061},{"id":"https://openalex.org/C78726541","wikidata":"https://www.wikidata.org/wiki/Q3882785","display_name":"Upper ontology","level":3,"score":0.7796101570129395},{"id":"https://openalex.org/C98893333","wikidata":"https://www.wikidata.org/wiki/Q4339878","display_name":"Ontology alignment","level":4,"score":0.7632673978805542},{"id":"https://openalex.org/C137003198","wikidata":"https://www.wikidata.org/wiki/Q7247296","display_name":"Process ontology","level":3,"score":0.7612839937210083},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7598980665206909},{"id":"https://openalex.org/C157659113","wikidata":"https://www.wikidata.org/wiki/Q533822","display_name":"WordNet","level":2,"score":0.6263942718505859},{"id":"https://openalex.org/C137982476","wikidata":"https://www.wikidata.org/wiki/Q7072326","display_name":"Open Biomedical Ontologies","level":5,"score":0.6234283447265625},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.6193746328353882},{"id":"https://openalex.org/C115408247","wikidata":"https://www.wikidata.org/wiki/Q3882789","display_name":"Ontology Inference Layer","level":5,"score":0.5881919264793396},{"id":"https://openalex.org/C154210476","wikidata":"https://www.wikidata.org/wiki/Q7095057","display_name":"Ontology components","level":5,"score":0.5088129639625549},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.4505990147590637},{"id":"https://openalex.org/C50382505","wikidata":"https://www.wikidata.org/wiki/Q2553356","display_name":"OWL-S","level":4,"score":0.36917805671691895},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3316107988357544},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.16275069117546082},{"id":"https://openalex.org/C167379230","wikidata":"https://www.wikidata.org/wiki/Q1026884","display_name":"Semantic Web Stack","level":3,"score":0.07330891489982605},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/sitis.2016.52","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sitis.2016.52","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 12th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.699999988079071,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W176267515","https://openalex.org/W1531673191","https://openalex.org/W1984121448","https://openalex.org/W2075843680","https://openalex.org/W2080100102","https://openalex.org/W2087739686","https://openalex.org/W2100935296","https://openalex.org/W2103318667","https://openalex.org/W2105920890","https://openalex.org/W2117805756","https://openalex.org/W2136480620","https://openalex.org/W2161322017","https://openalex.org/W2283767336","https://openalex.org/W2295595033","https://openalex.org/W2471528442","https://openalex.org/W2593520161","https://openalex.org/W2613678836","https://openalex.org/W2950225692","https://openalex.org/W6607106485","https://openalex.org/W6675339850","https://openalex.org/W6677712588","https://openalex.org/W6737736267"],"related_works":["https://openalex.org/W4206428734","https://openalex.org/W2608149786","https://openalex.org/W4248726527","https://openalex.org/W2732632690","https://openalex.org/W2396086199","https://openalex.org/W2012420033","https://openalex.org/W2102229151","https://openalex.org/W1794266373","https://openalex.org/W2365397974","https://openalex.org/W2138664789"],"abstract_inverted_index":{"This":[0,16],"paper":[1],"presents":[2],"a":[3,10,29,33,57,85,169,177,195],"method":[4,17,58,167],"to":[5,96,154,165],"validate":[6],"the":[7,40,43,48,66,69,73,90,105,109,119,126,132,138,148,158,166,187,191],"insertion":[8],"of":[9,42,51,68,197],"new":[11,26,178],"concept":[12,70],"in":[13,28,72,84,98,104,118,131],"an":[14,52,173],"ontology.":[15,160,201],"is":[18,168],"based":[19],"on":[20],"our":[21,182],"previous":[22,133],"works":[23],"which":[24,92,144],"add":[25],"concepts":[27,41,91,156],"basic":[30,44,74,139,159,200],"ontology":[31,35,37,75,107,140,142,150,152,171,193],"using":[32],"general":[34,106,149],"(genaral":[36],"contains":[38],"all":[39],"ontology).":[45],"To":[46,180],"verify":[47],"semantic":[49,81,110],"relevance":[50],"ontology,":[53],"we":[54,63,78,101,123,145,184],"have":[55,64,102,124,136,185],"proposed":[56],"with":[59,143,157],"three":[60],"steps.":[61,134],"First,":[62],"found":[65,117,130],"neighborhood":[67],"C":[71,97,113],"Ob":[76],"and":[77,114,147,194],"store":[79],"their":[80],"similarity":[82,111],"values":[83,129],"stack.":[86],"The":[87,161],"neighbourhood":[88,116],"represents":[89],"are":[93],"more":[94],"similar":[95],"Ob.":[99],"Secondly,":[100],"assessed":[103],"Og":[108],"between":[112,128],"its":[115],"first":[120],"step.":[121],"Finally,":[122],"evaluated":[125],"correlation":[127],"We":[135],"considered":[137],"as":[141,151,190,199],"work":[146],"used":[153,186],"align":[155],"result":[162],"obtained":[163],"thanks":[164],"validated":[170],"after":[172],"update":[174],"by":[175],"adding":[176],"concept.":[179],"illustrate":[181],"method,":[183],"whole":[188],"WordNet":[189,198],"reference":[192],"branch":[196]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}