{"id":"https://openalex.org/W2620128661","doi":"https://doi.org/10.24963/ijcai.2017/160","title":"Induction of Interpretable Possibilistic Logic Theories from Relational Data","display_name":"Induction of Interpretable Possibilistic Logic Theories from Relational Data","publication_year":2017,"publication_date":"2017-07-28","ids":{"openalex":"https://openalex.org/W2620128661","doi":"https://doi.org/10.24963/ijcai.2017/160","mag":"2620128661"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2017/160","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2017/160","pdf_url":"https://www.ijcai.org/proceedings/2017/0160.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2017/0160.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5021262042","display_name":"Ond\u0159ej Ku\u017eelka","orcid":"https://orcid.org/0000-0002-6523-9114"},"institutions":[{"id":"https://openalex.org/I124055696","display_name":"University of Copenhagen","ror":"https://ror.org/035b05819","country_code":"DK","type":"education","lineage":["https://openalex.org/I124055696"]},{"id":"https://openalex.org/I79510175","display_name":"Cardiff University","ror":"https://ror.org/03kk7td41","country_code":"GB","type":"education","lineage":["https://openalex.org/I79510175"]}],"countries":["DK","GB"],"is_corresponding":false,"raw_author_name":"Ondrej Kuzelka","raw_affiliation_strings":["Cardiff University","University of Copenhagen, Copenhagen, Denmark"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cardiff University","institution_ids":["https://openalex.org/I79510175"]},{"raw_affiliation_string":"University of Copenhagen, Copenhagen, Denmark","institution_ids":["https://openalex.org/I124055696"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029479248","display_name":"Jesse Davis","orcid":"https://orcid.org/0000-0002-3748-9263"},"institutions":[{"id":"https://openalex.org/I99464096","display_name":"KU Leuven","ror":"https://ror.org/05f950310","country_code":"BE","type":"education","lineage":["https://openalex.org/I99464096"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Jesse Davis","raw_affiliation_strings":["Department of Computer Science, KU Leuven","KU Leuven, Leuven, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, KU Leuven","institution_ids":["https://openalex.org/I99464096"]},{"raw_affiliation_string":"KU Leuven, Leuven, Belgium","institution_ids":["https://openalex.org/I99464096"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052196540","display_name":"Steven Schockaert","orcid":"https://orcid.org/0000-0002-9256-2881"},"institutions":[{"id":"https://openalex.org/I79510175","display_name":"Cardiff University","ror":"https://ror.org/03kk7td41","country_code":"GB","type":"education","lineage":["https://openalex.org/I79510175"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Steven Schockaert","raw_affiliation_strings":["Cardiff University","Cardiff University, Cardiff, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cardiff University","institution_ids":["https://openalex.org/I79510175"]},{"raw_affiliation_string":"Cardiff University, Cardiff, United Kingdom","institution_ids":["https://openalex.org/I79510175"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.0327,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.8281831,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1153","last_page":"1159"},"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9919999837875366,"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"}},{"id":"https://openalex.org/T11010","display_name":"Logic, Reasoning, and Knowledge","score":0.9918000102043152,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/statistical-relational-learning","display_name":"Statistical relational learning","score":0.8656759262084961},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.7416584491729736},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.612786591053009},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5840327739715576},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.538034975528717},{"id":"https://openalex.org/keywords/relational-model","display_name":"Relational model","score":0.5141382813453674},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4994192123413086},{"id":"https://openalex.org/keywords/meaning","display_name":"Meaning (existential)","score":0.45073288679122925},{"id":"https://openalex.org/keywords/relational-calculus","display_name":"Relational calculus","score":0.4491625726222992},{"id":"https://openalex.org/keywords/relational-database","display_name":"Relational database","score":0.4405583441257477},{"id":"https://openalex.org/keywords/statistical-model","display_name":"Statistical model","score":0.4160422682762146},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.413242906332016},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40350764989852905},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.40139538049697876},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.34274959564208984},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3165516257286072},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.22286495566368103},{"id":"https://openalex.org/keywords/epistemology","display_name":"Epistemology","score":0.13857361674308777}],"concepts":[{"id":"https://openalex.org/C177877439","wikidata":"https://www.wikidata.org/wiki/Q7604413","display_name":"Statistical relational learning","level":3,"score":0.8656759262084961},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.7416584491729736},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.612786591053009},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5840327739715576},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.538034975528717},{"id":"https://openalex.org/C40207289","wikidata":"https://www.wikidata.org/wiki/Q755662","display_name":"Relational model","level":3,"score":0.5141382813453674},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4994192123413086},{"id":"https://openalex.org/C2780876879","wikidata":"https://www.wikidata.org/wiki/Q3054749","display_name":"Meaning (existential)","level":2,"score":0.45073288679122925},{"id":"https://openalex.org/C99436015","wikidata":"https://www.wikidata.org/wiki/Q1722436","display_name":"Relational calculus","level":4,"score":0.4491625726222992},{"id":"https://openalex.org/C5655090","wikidata":"https://www.wikidata.org/wiki/Q192588","display_name":"Relational database","level":2,"score":0.4405583441257477},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.4160422682762146},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.413242906332016},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40350764989852905},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.40139538049697876},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.34274959564208984},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3165516257286072},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.22286495566368103},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.13857361674308777},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.24963/ijcai.2017/160","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2017/160","pdf_url":"https://www.ijcai.org/proceedings/2017/0160.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},{"id":"pmh:oai:https://orca.cardiff.ac.uk:100909","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306401195","display_name":"ORCA Online Research @Cardiff (Cardiff University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79510175","host_organization_name":"Cardiff University","host_organization_lineage":["https://openalex.org/I79510175"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Conference or Workshop Item"},{"id":"pmh:oai:lirias2repo.kuleuven.be:123456789/588737","is_oa":true,"landing_page_url":"https://lirias.kuleuven.be/handle/123456789/588737","pdf_url":null,"source":{"id":"https://openalex.org/S4306401954","display_name":"Lirias (KU Leuven)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I99464096","host_organization_name":"KU Leuven","host_organization_lineage":["https://openalex.org/I99464096"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"International Joint Conference on Artificial Intelligence, Melbourne, 19-25 August 2017","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:arXiv.org:1705.07095","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1705.07095","pdf_url":"https://arxiv.org/pdf/1705.07095","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},{"id":"mag:2620128661","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1705.07095.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1705.07095","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1705.07095","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2017/160","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2017/160","pdf_url":"https://www.ijcai.org/proceedings/2017/0160.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2628076978","display_name":null,"funder_award_id":"SBO-150033","funder_id":"https://openalex.org/F4320321730","funder_display_name":"Fonds Wetenschappelijk Onderzoek"},{"id":"https://openalex.org/G5086586201","display_name":null,"funder_award_id":"RPG-2014-164","funder_id":"https://openalex.org/F4320319993","funder_display_name":"Leverhulme Trust"}],"funders":[{"id":"https://openalex.org/F4320319993","display_name":"Leverhulme Trust","ror":"https://ror.org/012mzw131"},{"id":"https://openalex.org/F4320321730","display_name":"Fonds Wetenschappelijk Onderzoek","ror":"https://ror.org/03qtxy027"},{"id":"https://openalex.org/F4320322308","display_name":"KU Leuven","ror":"https://ror.org/05f950310"},{"id":"https://openalex.org/F4320327336","display_name":"Vlaamse regering","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2620128661.pdf","grobid_xml":"https://content.openalex.org/works/W2620128661.grobid-xml"},"referenced_works_count":20,"referenced_works":["https://openalex.org/W5815757","https://openalex.org/W811924890","https://openalex.org/W1486435110","https://openalex.org/W1760731167","https://openalex.org/W1782545736","https://openalex.org/W1835243625","https://openalex.org/W1907086563","https://openalex.org/W1987902506","https://openalex.org/W2069150044","https://openalex.org/W2121075864","https://openalex.org/W2150165932","https://openalex.org/W2183009633","https://openalex.org/W2480025839","https://openalex.org/W2516809705","https://openalex.org/W2530744162","https://openalex.org/W2555808560","https://openalex.org/W2572061353","https://openalex.org/W6637849371","https://openalex.org/W6659178561","https://openalex.org/W6670936227"],"related_works":["https://openalex.org/W2962902574","https://openalex.org/W1760731167","https://openalex.org/W2555592374","https://openalex.org/W3020840856","https://openalex.org/W1517360117","https://openalex.org/W2073171642","https://openalex.org/W2341428601","https://openalex.org/W3183399374","https://openalex.org/W2750622902","https://openalex.org/W2340953301","https://openalex.org/W1894658779","https://openalex.org/W2553103903","https://openalex.org/W2610724855","https://openalex.org/W2970583209","https://openalex.org/W2741781019","https://openalex.org/W2910770992","https://openalex.org/W3134507110","https://openalex.org/W2024400846","https://openalex.org/W48153090","https://openalex.org/W2953359393"],"abstract_inverted_index":{"The":[0],"field":[1],"of":[2,25,110],"statistical":[3],"relational":[4,14,89],"learning":[5,10],"(SRL)":[6],"is":[7,120],"concerned":[8],"with":[9,106],"probabilistic":[11],"models":[12,18,46,92],"from":[13],"data.":[15],"Learned":[16,91],"SRL":[17,81],"are":[19,47,93],"typically":[20],"represented":[21],"using":[22],"some":[23],"kind":[24],"weighted":[26],"logical":[27],"formulas,":[28],"which":[29,83,99],"makes":[30],"them":[31],"considerably":[32,124],"more":[33,125],"interpretable":[34,126],"than":[35],"those":[36],"obtained":[37],"by":[38],"e.g.":[39],"neural":[40],"networks.":[41],"In":[42],"practice,":[43],"however,":[44],"these":[45],"often":[48],"still":[49],"difficult":[50],"to":[51,87,113],"interpret":[52],"correctly,":[53],"as":[54],"they":[55],"can":[56,103],"contain":[57],"many":[58],"formulas":[59],"that":[60],"interact":[61],"in":[62],"non-trivial":[63],"ways":[64],"and":[65,122],"weights":[66],"do":[67],"not":[68],"always":[69],"have":[70],"an":[71],"intuitive":[72],"meaning.":[73],"To":[74],"address":[75],"this,":[76],"we":[77],"propose":[78],"a":[79,107],"new":[80],"method":[82,119],"uses":[84],"possibilistic":[85],"logic":[86],"encode":[88,101],"models.":[90,127],"then":[94],"essentially":[95],"stratified":[96],"classical":[97],"theories,":[98],"explicitly":[100],"what":[102],"be":[104],"derived":[105],"given":[108],"level":[109],"certainty.":[111],"Compared":[112],"Markov":[114],"Logic":[115],"Networks":[116],"(MLNs),":[117],"our":[118],"faster":[121],"produces":[123]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
