{"id":"https://openalex.org/W7155546299","doi":"https://doi.org/10.48550/arxiv.2604.21603","title":"Using ASP(Q) to Handle Inconsistent Prioritized Data","display_name":"Using ASP(Q) to Handle Inconsistent Prioritized Data","publication_year":2026,"publication_date":"2026-04-23","ids":{"openalex":"https://openalex.org/W7155546299","doi":"https://doi.org/10.48550/arxiv.2604.21603"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.21603","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.21603","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2604.21603","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5134492081","display_name":"Meghyn Bienvenu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bienvenu, Meghyn","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134513335","display_name":"Camille Bourgaux","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bourgaux, Camille","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108965057","display_name":"Robin Jean","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jean, Robin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5134559715","display_name":"Giuseppe Mazzotta","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mazzotta, Giuseppe","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11010","display_name":"Logic, Reasoning, and Knowledge","score":0.9168999791145325,"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":0.9168999791145325,"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":0.05790000036358833,"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/T10317","display_name":"Advanced Database Systems and Queries","score":0.0034000000450760126,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/semantics","display_name":"Semantics (computer science)","score":0.713100016117096},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.6078000068664551},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.5878000259399414},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.579800009727478},{"id":"https://openalex.org/keywords/hierarchy","display_name":"Hierarchy","score":0.5522000193595886},{"id":"https://openalex.org/keywords/extension","display_name":"Extension (predicate logic)","score":0.4575999975204468},{"id":"https://openalex.org/keywords/answer-set-programming","display_name":"Answer set programming","score":0.43209999799728394},{"id":"https://openalex.org/keywords/polynomial-hierarchy","display_name":"Polynomial hierarchy","score":0.4108999967575073}],"concepts":[{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.713100016117096},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.707099974155426},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.6078000068664551},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.5878000259399414},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.579800009727478},{"id":"https://openalex.org/C31170391","wikidata":"https://www.wikidata.org/wiki/Q188619","display_name":"Hierarchy","level":2,"score":0.5522000193595886},{"id":"https://openalex.org/C2778029271","wikidata":"https://www.wikidata.org/wiki/Q5421931","display_name":"Extension (predicate logic)","level":2,"score":0.4575999975204468},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.44200000166893005},{"id":"https://openalex.org/C182620335","wikidata":"https://www.wikidata.org/wiki/Q2852531","display_name":"Answer set programming","level":3,"score":0.43209999799728394},{"id":"https://openalex.org/C2776013622","wikidata":"https://www.wikidata.org/wiki/Q2103021","display_name":"Polynomial hierarchy","level":3,"score":0.4108999967575073},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.3562000095844269},{"id":"https://openalex.org/C2781289151","wikidata":"https://www.wikidata.org/wiki/Q2903989","display_name":"Class hierarchy","level":3,"score":0.3553999960422516},{"id":"https://openalex.org/C192028432","wikidata":"https://www.wikidata.org/wiki/Q845739","display_name":"Query language","level":2,"score":0.33340001106262207},{"id":"https://openalex.org/C128838566","wikidata":"https://www.wikidata.org/wiki/Q275603","display_name":"Logic programming","level":2,"score":0.31940001249313354},{"id":"https://openalex.org/C2780432614","wikidata":"https://www.wikidata.org/wiki/Q864213","display_name":"Conservative extension","level":2,"score":0.3043999969959259},{"id":"https://openalex.org/C134752490","wikidata":"https://www.wikidata.org/wiki/Q374182","display_name":"Logical consequence","level":2,"score":0.30140000581741333},{"id":"https://openalex.org/C127001435","wikidata":"https://www.wikidata.org/wiki/Q7595770","display_name":"Stable model semantics","level":4,"score":0.28690001368522644},{"id":"https://openalex.org/C33762810","wikidata":"https://www.wikidata.org/wiki/Q461671","display_name":"Data integrity","level":2,"score":0.2842999994754791},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2786000072956085},{"id":"https://openalex.org/C311688","wikidata":"https://www.wikidata.org/wiki/Q2393193","display_name":"Time complexity","level":2,"score":0.2635999917984009},{"id":"https://openalex.org/C89497691","wikidata":"https://www.wikidata.org/wiki/Q7981058","display_name":"Well-founded semantics","level":5,"score":0.2572000026702881},{"id":"https://openalex.org/C124304363","wikidata":"https://www.wikidata.org/wiki/Q673661","display_name":"Abstraction","level":2,"score":0.25619998574256897},{"id":"https://openalex.org/C146499914","wikidata":"https://www.wikidata.org/wiki/Q5469969","display_name":"Formal semantics (linguistics)","level":2,"score":0.2515999972820282}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.21603","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.21603","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2604.21603","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.21603","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"We":[0,41],"explore":[1],"the":[2,43,65,71,85,95,99,119,129],"use":[3,54],"of":[4,18,34,45,70,78,88,98,107,121,131],"answer":[5],"set":[6],"programming":[7],"(ASP)":[8],"and":[9,39,51,58,128,136],"its":[10],"extension":[11],"with":[12],"quantifiers,":[13],"ASP(Q),":[14],"for":[15,59,74],"inconsistency-tolerant":[16],"querying":[17],"prioritized":[19],"data,":[20],"where":[21],"a":[22,75,104],"priority":[23],"relation":[24],"between":[25],"conflicting":[26],"facts":[27],"is":[28,63,103],"exploited":[29],"to":[30],"define":[31],"three":[32,46],"notions":[33],"optimal":[35,56,110],"repairs":[36],"(Pareto-,":[37],"globally-":[38],"completion-optimal).":[40],"consider":[42],"variants":[44],"well-known":[47],"semantics":[48,127],"(AR,":[49],"brave":[50],"IAR)":[52],"that":[53],"these":[55,109],"repairs,":[57],"which":[60,102],"query":[61],"answering":[62],"in":[64],"first":[66,86,96],"or":[67],"second":[68],"level":[69],"polynomial":[72],"hierarchy":[73],"large":[76],"class":[77],"logical":[79],"theories.":[80],"Notably,":[81],"this":[82],"paper":[83],"presents":[84],"implementation":[87,97],"globally-optimal":[89,125],"repair-based":[90,111],"semantics,":[91,101,134],"as":[92,94],"well":[93],"grounded":[100],"tractable":[105],"under-approximation":[106],"all":[108],"semantics.":[112],"Our":[113],"experimental":[114],"evaluation":[115],"sheds":[116],"light":[117],"on":[118],"feasibility":[120],"computing":[122],"answers":[123],"under":[124],"repair":[126],"impact":[130],"adopting":[132],"different":[133],"approximations,":[135],"encodings.":[137]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-04-25T00:00:00"}
