{"id":"https://openalex.org/W3126861566","doi":"https://doi.org/10.1007/s10994-022-06146-3","title":"Lifting symmetry breaking constraints with inductive logic programming","display_name":"Lifting symmetry breaking constraints with inductive logic programming","publication_year":2022,"publication_date":"2022-04-01","ids":{"openalex":"https://openalex.org/W3126861566","doi":"https://doi.org/10.1007/s10994-022-06146-3","mag":"3126861566"},"language":"en","primary_location":{"id":"doi:10.1007/s10994-022-06146-3","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10994-022-06146-3","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10994-022-06146-3.pdf","source":{"id":"https://openalex.org/S62148650","display_name":"Machine Learning","issn_l":"0885-6125","issn":["0885-6125","1573-0565"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s10994-022-06146-3.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5000720206","display_name":"Alice Tarzariol","orcid":"https://orcid.org/0000-0001-6586-3649"},"institutions":[{"id":"https://openalex.org/I4210166741","display_name":"University of Klagenfurt","ror":"https://ror.org/05q9m0937","country_code":"AT","type":"education","lineage":["https://openalex.org/I4210166741"]}],"countries":["AT"],"is_corresponding":true,"raw_author_name":"Alice Tarzariol","raw_affiliation_strings":["University of Klagenfurt, Klagenfurt, Austria"],"raw_orcid":"https://orcid.org/0000-0001-6586-3649","affiliations":[{"raw_affiliation_string":"University of Klagenfurt, Klagenfurt, Austria","institution_ids":["https://openalex.org/I4210166741"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006066772","display_name":"Martin Gebser","orcid":"https://orcid.org/0000-0002-8010-4752"},"institutions":[{"id":"https://openalex.org/I4092182","display_name":"Graz University of Technology","ror":"https://ror.org/00d7xrm67","country_code":"AT","type":"education","lineage":["https://openalex.org/I4092182"]},{"id":"https://openalex.org/I4210166741","display_name":"University of Klagenfurt","ror":"https://ror.org/05q9m0937","country_code":"AT","type":"education","lineage":["https://openalex.org/I4210166741"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Martin Gebser","raw_affiliation_strings":["University of Graz University of Technology, Graz, Austria","University of Klagenfurt, Klagenfurt, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Graz University of Technology, Graz, Austria","institution_ids":["https://openalex.org/I4092182"]},{"raw_affiliation_string":"University of Klagenfurt, Klagenfurt, Austria","institution_ids":["https://openalex.org/I4210166741"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055185135","display_name":"Konstantin Schekotihin","orcid":"https://orcid.org/0000-0002-0286-0958"},"institutions":[{"id":"https://openalex.org/I4210166741","display_name":"University of Klagenfurt","ror":"https://ror.org/05q9m0937","country_code":"AT","type":"education","lineage":["https://openalex.org/I4210166741"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Konstantin Schekotihin","raw_affiliation_strings":["University of Klagenfurt, Klagenfurt, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Klagenfurt, Klagenfurt, Austria","institution_ids":["https://openalex.org/I4210166741"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5000720206"],"corresponding_institution_ids":["https://openalex.org/I4210166741"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":{"value":2390,"currency":"EUR","value_usd":2990},"fwci":0.4162,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.66184334,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"111","issue":"4","first_page":"1303","last_page":"1326"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11010","display_name":"Logic, Reasoning, and Knowledge","score":0.9998999834060669,"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/T11010","display_name":"Logic, Reasoning, and Knowledge","score":0.9998999834060669,"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/T10456","display_name":"Multi-Agent Systems and Negotiation","score":0.9966999888420105,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.9961000084877014,"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/solver","display_name":"Solver","score":0.686482310295105},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.656110405921936},{"id":"https://openalex.org/keywords/inductive-logic-programming","display_name":"Inductive logic programming","score":0.6092944145202637},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5800091624259949},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5738906264305115},{"id":"https://openalex.org/keywords/boolean-satisfiability-problem","display_name":"Boolean satisfiability problem","score":0.5702530145645142},{"id":"https://openalex.org/keywords/answer-set-programming","display_name":"Answer set programming","score":0.5603978633880615},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.5069108605384827},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4695380926132202},{"id":"https://openalex.org/keywords/propositional-calculus","display_name":"Propositional calculus","score":0.42271688580513},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3770264983177185},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.30491334199905396},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.29695022106170654},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2805902361869812},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.25611549615859985}],"concepts":[{"id":"https://openalex.org/C2778770139","wikidata":"https://www.wikidata.org/wiki/Q1966904","display_name":"Solver","level":2,"score":0.686482310295105},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.656110405921936},{"id":"https://openalex.org/C2779382394","wikidata":"https://www.wikidata.org/wiki/Q1464197","display_name":"Inductive logic programming","level":2,"score":0.6092944145202637},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5800091624259949},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5738906264305115},{"id":"https://openalex.org/C6943359","wikidata":"https://www.wikidata.org/wiki/Q875276","display_name":"Boolean satisfiability problem","level":2,"score":0.5702530145645142},{"id":"https://openalex.org/C182620335","wikidata":"https://www.wikidata.org/wiki/Q2852531","display_name":"Answer set programming","level":3,"score":0.5603978633880615},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5069108605384827},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4695380926132202},{"id":"https://openalex.org/C69562738","wikidata":"https://www.wikidata.org/wiki/Q200694","display_name":"Propositional calculus","level":2,"score":0.42271688580513},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3770264983177185},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.30491334199905396},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29695022106170654},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2805902361869812},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.25611549615859985},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s10994-022-06146-3","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10994-022-06146-3","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10994-022-06146-3.pdf","source":{"id":"https://openalex.org/S62148650","display_name":"Machine Learning","issn_l":"0885-6125","issn":["0885-6125","1573-0565"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2112.11806","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2112.11806","pdf_url":"https://arxiv.org/pdf/2112.11806","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"}],"best_oa_location":{"id":"doi:10.1007/s10994-022-06146-3","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10994-022-06146-3","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10994-022-06146-3.pdf","source":{"id":"https://openalex.org/S62148650","display_name":"Machine Learning","issn_l":"0885-6125","issn":["0885-6125","1573-0565"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320325472","display_name":"Alpen-Adria-Universit\u00e4t Klagenfurt","ror":"https://ror.org/05q9m0937"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3126861566.pdf","grobid_xml":"https://content.openalex.org/works/W3126861566.grobid-xml"},"referenced_works_count":35,"referenced_works":["https://openalex.org/W81665625","https://openalex.org/W228104253","https://openalex.org/W1504010403","https://openalex.org/W1527987966","https://openalex.org/W1548885290","https://openalex.org/W1555879612","https://openalex.org/W1572344581","https://openalex.org/W1643852869","https://openalex.org/W2016578044","https://openalex.org/W2076698873","https://openalex.org/W2119831128","https://openalex.org/W2135573930","https://openalex.org/W2407746648","https://openalex.org/W2506402500","https://openalex.org/W2542981480","https://openalex.org/W2604749182","https://openalex.org/W2742055000","https://openalex.org/W2808078614","https://openalex.org/W2888114470","https://openalex.org/W2950995869","https://openalex.org/W2964073874","https://openalex.org/W2985257580","https://openalex.org/W2994667977","https://openalex.org/W2997844570","https://openalex.org/W3042097880","https://openalex.org/W3189522239","https://openalex.org/W3190366283","https://openalex.org/W4210873948","https://openalex.org/W4211177236","https://openalex.org/W4254790956","https://openalex.org/W4287687868","https://openalex.org/W4323365614","https://openalex.org/W4361876935","https://openalex.org/W6603319106","https://openalex.org/W6633988907"],"related_works":["https://openalex.org/W2115480761","https://openalex.org/W4386614288","https://openalex.org/W2245453572","https://openalex.org/W2920896101","https://openalex.org/W1431464475","https://openalex.org/W178618149","https://openalex.org/W3102747178","https://openalex.org/W228104253","https://openalex.org/W2964612035","https://openalex.org/W13758264"],"abstract_inverted_index":{"Abstract":[0],"Efficient":[1],"omission":[2],"of":[3,13,25,38,75,83,104,111,125,138,160],"symmetric":[4],"solution":[5],"candidates":[6],"is":[7],"essential":[8],"for":[9,30,96,135],"combinatorial":[10,139],"problem-solving.":[11],"Most":[12],"the":[14,22,36,52,102,116,123,157],"existing":[15],"approaches":[16,40],"are":[17,55],"instance-specific":[18,133,152],"and":[19],"focus":[20],"on":[21],"automatic":[23],"computation":[24],"Symmetry":[26],"Breaking":[27],"Constraints":[28],"(SBCs)":[29],"each":[31],"given":[32],"problem":[33,46,106],"instance.":[34],"However,":[35],"application":[37,159],"such":[39],"to":[41,66,128],"large-scale":[42],"instances":[43,107],"or":[44],"advanced":[45],"encodings":[47],"might":[48],"be":[49,61,78],"problematic":[50],"since":[51],"computed":[53],"SBCs":[54,76,103,134],"propositional":[56],"and,":[57],"therefore,":[58],"can":[59],"neither":[60],"meaningfully":[62],"interpreted":[63],"nor":[64],"transferred":[65],"other":[67],"instances.":[68],"As":[69],"a":[70,72,84,92,109,136,150,161],"result,":[71],"time-consuming":[73],"recomputation":[74],"must":[77],"done":[79],"before":[80],"every":[81],"invocation":[82],"solver.":[85,162],"To":[86],"overcome":[87],"these":[88],"limitations,":[89],"we":[90],"introduce":[91],"new":[93],"model-oriented":[94],"approach":[95,147],"Answer":[97],"Set":[98],"Programming":[99,119],"that":[100,145],"lifts":[101],"small":[105],"into":[108],"set":[110],"interpretable":[112],"first-order":[113],"constraints":[114,131],"using":[115],"Inductive":[117],"Logic":[118],"paradigm.":[120],"Experiments":[121],"demonstrate":[122],"ability":[124],"our":[126,146],"framework":[127],"learn":[129],"general":[130],"from":[132],"collection":[137],"problems.":[140],"The":[141],"obtained":[142],"results":[143],"indicate":[144],"significantly":[148],"outperforms":[149],"state-of-the-art":[151],"method":[153],"as":[154,156],"well":[155],"direct":[158]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
