{"id":"https://openalex.org/W4379620217","doi":"https://doi.org/10.1145/3555776.3577719","title":"Optimal Repairs in Ontology Engineering as Pseudo-Contractions in Belief Change","display_name":"Optimal Repairs in Ontology Engineering as Pseudo-Contractions in Belief Change","publication_year":2023,"publication_date":"2023-03-27","ids":{"openalex":"https://openalex.org/W4379620217","doi":"https://doi.org/10.1145/3555776.3577719"},"language":"en","primary_location":{"id":"doi:10.1145/3555776.3577719","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3555776.3577719","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing","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/A5086254817","display_name":"Franz Baader","orcid":"https://orcid.org/0000-0002-4049-221X"},"institutions":[{"id":"https://openalex.org/I33256026","display_name":"German Research Centre for Artificial Intelligence","ror":"https://ror.org/01ayc5b57","country_code":"DE","type":"funder","lineage":["https://openalex.org/I33256026"]},{"id":"https://openalex.org/I4401726909","display_name":"Center for Scalable Data Analytics and Artificial Intelligence","ror":"https://ror.org/01t4ttr56","country_code":"DE","type":"education","lineage":["https://openalex.org/I4401726909","https://openalex.org/I78650965","https://openalex.org/I926574661"]},{"id":"https://openalex.org/I78650965","display_name":"Technische Universit\u00e4t Dresden","ror":"https://ror.org/042aqky30","country_code":"DE","type":"education","lineage":["https://openalex.org/I78650965"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Franz Baader","raw_affiliation_strings":["Center for Scalable Data Analytics and Artificial Intelligence (ScaDS.AI), Dresden/Leipzig, Germany","Institute of Theoretical Computer Science, TU Dresden, Dresden, Germany","Institute of Theoretical Computer Science, TU Dresden, Dresden, Germany Center for Scalable Data Analytics and Artificial Intelligence (ScaDS.AI), Dresden/Leipzig, Germany"],"raw_orcid":"https://orcid.org/0000-0002-4049-221X","affiliations":[{"raw_affiliation_string":"Center for Scalable Data Analytics and Artificial Intelligence (ScaDS.AI), Dresden/Leipzig, Germany","institution_ids":["https://openalex.org/I33256026","https://openalex.org/I4401726909"]},{"raw_affiliation_string":"Institute of Theoretical Computer Science, TU Dresden, Dresden, Germany","institution_ids":["https://openalex.org/I78650965"]},{"raw_affiliation_string":"Institute of Theoretical Computer Science, TU Dresden, Dresden, Germany Center for Scalable Data Analytics and Artificial Intelligence (ScaDS.AI), Dresden/Leipzig, Germany","institution_ids":["https://openalex.org/I4401726909","https://openalex.org/I78650965"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5086254817"],"corresponding_institution_ids":["https://openalex.org/I33256026","https://openalex.org/I4401726909","https://openalex.org/I78650965"],"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":null,"issue":null,"first_page":"983","last_page":"990"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11010","display_name":"Logic, Reasoning, and Knowledge","score":0.9984999895095825,"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":0.9984999895095825,"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":0.9977999925613403,"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/T10906","display_name":"AI-based Problem Solving and Planning","score":0.9965999722480774,"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/contraction","display_name":"Contraction (grammar)","score":0.7057557106018066},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6455350518226624},{"id":"https://openalex.org/keywords/knowledge-base","display_name":"Knowledge base","score":0.5420464277267456},{"id":"https://openalex.org/keywords/belief-revision","display_name":"Belief revision","score":0.510730504989624},{"id":"https://openalex.org/keywords/ontology","display_name":"Ontology","score":0.4583233594894409},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3365931510925293},{"id":"https://openalex.org/keywords/epistemology","display_name":"Epistemology","score":0.07652929425239563}],"concepts":[{"id":"https://openalex.org/C163415756","wikidata":"https://www.wikidata.org/wiki/Q126473","display_name":"Contraction (grammar)","level":2,"score":0.7057557106018066},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6455350518226624},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.5420464277267456},{"id":"https://openalex.org/C128913409","wikidata":"https://www.wikidata.org/wiki/Q3566063","display_name":"Belief revision","level":2,"score":0.510730504989624},{"id":"https://openalex.org/C25810664","wikidata":"https://www.wikidata.org/wiki/Q44325","display_name":"Ontology","level":2,"score":0.4583233594894409},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3365931510925293},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.07652929425239563},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","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},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3555776.3577719","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3555776.3577719","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W400112057","https://openalex.org/W1489624549","https://openalex.org/W1532959892","https://openalex.org/W1611226978","https://openalex.org/W1668237659","https://openalex.org/W2005564477","https://openalex.org/W2006162039","https://openalex.org/W2028144535","https://openalex.org/W2032245524","https://openalex.org/W2044452032","https://openalex.org/W2062481003","https://openalex.org/W2081966954","https://openalex.org/W2108309071","https://openalex.org/W2129275996","https://openalex.org/W2149420462","https://openalex.org/W2888869643","https://openalex.org/W2912182247","https://openalex.org/W2956124946","https://openalex.org/W2964021910","https://openalex.org/W3177529194","https://openalex.org/W4244275182","https://openalex.org/W4285125727"],"related_works":["https://openalex.org/W1499229375","https://openalex.org/W2136424398","https://openalex.org/W2003333417","https://openalex.org/W3081150839","https://openalex.org/W4283795819","https://openalex.org/W2604227233","https://openalex.org/W3172566269","https://openalex.org/W4301897352","https://openalex.org/W2378862226","https://openalex.org/W118236634"],"abstract_inverted_index":{"The":[0],"question":[1],"of":[2,24,30,36,42,67,84,105,141],"how":[3],"a":[4,138],"given":[5],"knowledge":[6,25,86],"base":[7,87],"can":[8,157],"be":[9,158],"modified":[10],"such":[11],"that":[12,88,171],"certain":[13,71,161,177],"unwanted":[14,93],"consequences":[15,107],"are":[16,82,180],"removed":[17],"has":[18],"been":[19,119,130],"investigated":[20,131],"in":[21,33,45,103,121,132],"the":[22,28,34,40,46,49,60,76,85,92,122,169],"area":[23,35,48,62],"engineering":[26],"under":[27,39,176],"name":[29,41],"repair":[31,58],"and":[32,55,80,100,116,126,164],"belief":[37],"change":[38],"contraction.":[43],"Whereas":[44],"former":[47],"emphasis":[50],"was":[51],"more":[52,106],"on":[53,64],"designing":[54],"implementing":[56],"concrete":[57],"algorithms,":[59],"latter":[61],"concentrated":[63],"characterizing":[65],"classes":[66],"contraction":[68],"operations":[69,173],"by":[70,160],"postulates":[72,170],"they":[73,144,153,156,166],"satisfy.":[74,174],"In":[75],"classical":[77],"setting,":[78],"repairs":[79,115,136],"contractions":[81],"subsets":[83],"no":[89],"longer":[90],"have":[91,118,129],"consequence.":[94],"This":[95],"makes":[96],"these":[97,172],"approaches":[98],"syntax-dependent":[99],"may":[101,145],"result":[102],"removal":[104],"than":[108],"necessary.":[109],"To":[110],"alleviate":[111],"this":[112],"problem,":[113],"gentle":[114],"pseudo-constractions":[117],"introduced":[120],"respective":[123],"research":[124],"areas,":[125],"their":[127],"connections":[128],"recent":[133],"work.":[134],"Optimal":[135],"preserve":[137],"maximal":[139],"amount":[140],"consequences,":[142],"but":[143],"not":[146],"always":[147],"exist.":[148],"We":[149],"show":[150],"that,":[151],"if":[152],"exist,":[154],"then":[155],"obtained":[159],"pseudo-contraction":[162],"operations,":[163],"thus":[165],"comply":[167],"with":[168],"Conversely,":[175],"conditions,":[178],"pseudo-contractions":[179],"guaranteed":[181],"to":[182],"produce":[183],"optimal":[184],"repairs.":[185]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2023,"cited_by_count":3}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}