{"id":"https://openalex.org/W2147446932","doi":"https://doi.org/10.1109/ijcnn.2013.6706815","title":"Active learning of causal Bayesian networks using ontologies: A case study","display_name":"Active learning of causal Bayesian networks using ontologies: A case study","publication_year":2013,"publication_date":"2013-08-01","ids":{"openalex":"https://openalex.org/W2147446932","doi":"https://doi.org/10.1109/ijcnn.2013.6706815","mag":"2147446932"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2013.6706815","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2013.6706815","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 2013 International Joint Conference on Neural Networks (IJCNN)","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/A5012269993","display_name":"Montassar Ben Messaoud","orcid":"https://orcid.org/0000-0003-4056-5359"},"institutions":[{"id":"https://openalex.org/I4210140729","display_name":"Institut Sup\u00e9rieur de Gestion de Tunis","ror":"https://ror.org/04w9mdw91","country_code":"TN","type":"education","lineage":["https://openalex.org/I108714496","https://openalex.org/I4210140729"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Montassar Ben Messaoud","raw_affiliation_strings":["LARODEC, Institut Sup\u00e9rieur de Gestion de Tunis, Tunisia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LARODEC, Institut Sup\u00e9rieur de Gestion de Tunis, Tunisia","institution_ids":["https://openalex.org/I4210140729"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090160531","display_name":"Philippe Leray","orcid":"https://orcid.org/0000-0002-0207-9280"},"institutions":[{"id":"https://openalex.org/I142476485","display_name":"\u00c9cole Polytechnique","ror":"https://ror.org/05hy3tk52","country_code":"FR","type":"education","lineage":["https://openalex.org/I142476485","https://openalex.org/I4210145102"]},{"id":"https://openalex.org/I97188460","display_name":"Nantes Universit\u00e9","ror":"https://ror.org/03gnr7b55","country_code":"FR","type":"education","lineage":["https://openalex.org/I97188460"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Philippe Leray","raw_affiliation_strings":["LINA, Ecole Polytechnique de 1'Universit\u00e9 de Nantes, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LINA, Ecole Polytechnique de 1'Universit\u00e9 de Nantes, France","institution_ids":["https://openalex.org/I142476485","https://openalex.org/I97188460"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102967229","display_name":"Nahla Ben Amor","orcid":"https://orcid.org/0000-0002-8667-0798"},"institutions":[{"id":"https://openalex.org/I4210140729","display_name":"Institut Sup\u00e9rieur de Gestion de Tunis","ror":"https://ror.org/04w9mdw91","country_code":"TN","type":"education","lineage":["https://openalex.org/I108714496","https://openalex.org/I4210140729"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Nahla Ben Amor","raw_affiliation_strings":["LARODEC, Institut Sup\u00e9rieur de Gestion de Tunis, Tunisia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LARODEC, Institut Sup\u00e9rieur de Gestion de Tunis, Tunisia","institution_ids":["https://openalex.org/I4210140729"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"9","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9998000264167786,"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9998000264167786,"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/T11719","display_name":"Data Quality and Management","score":0.9869999885559082,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9829000234603882,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.807606041431427},{"id":"https://openalex.org/keywords/causality","display_name":"Causality (physics)","score":0.7746541500091553},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7360085248947144},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6555690169334412},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6517861485481262},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6201550960540771},{"id":"https://openalex.org/keywords/ontology","display_name":"Ontology","score":0.6186271905899048},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5608206987380981},{"id":"https://openalex.org/keywords/observational-study","display_name":"Observational study","score":0.49077996611595154},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.45343250036239624},{"id":"https://openalex.org/keywords/causal-reasoning","display_name":"Causal reasoning","score":0.45302483439445496},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.12366583943367004},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.08460021018981934}],"concepts":[{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.807606041431427},{"id":"https://openalex.org/C64357122","wikidata":"https://www.wikidata.org/wiki/Q1149766","display_name":"Causality (physics)","level":2,"score":0.7746541500091553},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7360085248947144},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6555690169334412},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6517861485481262},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6201550960540771},{"id":"https://openalex.org/C25810664","wikidata":"https://www.wikidata.org/wiki/Q44325","display_name":"Ontology","level":2,"score":0.6186271905899048},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5608206987380981},{"id":"https://openalex.org/C23131810","wikidata":"https://www.wikidata.org/wiki/Q818574","display_name":"Observational study","level":2,"score":0.49077996611595154},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.45343250036239624},{"id":"https://openalex.org/C115086926","wikidata":"https://www.wikidata.org/wiki/Q17004651","display_name":"Causal reasoning","level":3,"score":0.45302483439445496},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.12366583943367004},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.08460021018981934},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"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/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2013.6706815","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2013.6706815","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 2013 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.6499999761581421}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W33261022","https://openalex.org/W62470816","https://openalex.org/W284239745","https://openalex.org/W1511711598","https://openalex.org/W1518082915","https://openalex.org/W1538462908","https://openalex.org/W1541824660","https://openalex.org/W1543507677","https://openalex.org/W1567780322","https://openalex.org/W1568555062","https://openalex.org/W1586003574","https://openalex.org/W1645969895","https://openalex.org/W1698663318","https://openalex.org/W1916339519","https://openalex.org/W2008312103","https://openalex.org/W2087739686","https://openalex.org/W2096578078","https://openalex.org/W2103017472","https://openalex.org/W2103453943","https://openalex.org/W2129632913","https://openalex.org/W2133109597","https://openalex.org/W2139830657","https://openalex.org/W2143891888","https://openalex.org/W2151226328","https://openalex.org/W2159080219","https://openalex.org/W2163076211","https://openalex.org/W2254824971","https://openalex.org/W2571483819","https://openalex.org/W2611370172","https://openalex.org/W2767353200","https://openalex.org/W2949470784","https://openalex.org/W2950361137","https://openalex.org/W2950841806","https://openalex.org/W4285719527","https://openalex.org/W6602506113","https://openalex.org/W6631197081","https://openalex.org/W6632419145","https://openalex.org/W6632450347","https://openalex.org/W6634071051","https://openalex.org/W6639947459","https://openalex.org/W6679280813","https://openalex.org/W6682361391","https://openalex.org/W6684090645"],"related_works":["https://openalex.org/W1506300690","https://openalex.org/W2090179385","https://openalex.org/W4307330737","https://openalex.org/W2804197927","https://openalex.org/W344802256","https://openalex.org/W2138976440","https://openalex.org/W2170931970","https://openalex.org/W2269228849","https://openalex.org/W2928587905","https://openalex.org/W4249720669"],"abstract_inverted_index":{"Within":[0,44],"the":[1,45,56],"last":[2],"years,":[3],"probabilistic":[4],"causality":[5],"has":[6],"become":[7],"a":[8,35],"very":[9],"active":[10],"research":[11],"topic":[12],"in":[13,24,48],"artificial":[14],"intelligence":[15],"and":[16,67,86],"statistics":[17],"communities.":[18],"Due":[19],"to":[20,39,63,91],"its":[21],"high":[22],"impact":[23],"various":[25],"applications":[26],"involving":[27],"reasoning":[28],"tasks,":[29],"machine":[30],"learning":[31],"researchers":[32],"have":[33,53],"proposed":[34],"number":[36],"of":[37],"techniques":[38],"learn":[40],"Causal":[41],"Bayesian":[42],"Networks.":[43],"existing":[46],"works":[47,78],"this":[49,72],"direction,":[50],"few":[51],"studies":[52],"explicitly":[54],"considered":[55],"role":[57],"that":[58],"decisional":[59],"guidance":[60],"might":[61],"play":[62],"alternate":[64],"between":[65,83],"observational":[66],"experimental":[68],"data":[69],"processing.":[70],"In":[71],"paper,":[73],"we":[74],"spread":[75],"our":[76],"previous":[77],"which":[79],"foster":[80],"greater":[81],"collaboration":[82],"causal":[84],"discovery":[85],"ontology":[87],"evolution":[88],"so":[89],"as":[90],"evaluate":[92],"them":[93],"on":[94],"real":[95],"case":[96],"study.":[97]},"counts_by_year":[{"year":2019,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2014,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
