{"id":"https://openalex.org/W4403792824","doi":"https://doi.org/10.24963/kr.2024/74","title":"ASPEN: ASP-Based System for Collective Entity Resolution","display_name":"ASPEN: ASP-Based System for Collective Entity Resolution","publication_year":2024,"publication_date":"2024-10-26","ids":{"openalex":"https://openalex.org/W4403792824","doi":"https://doi.org/10.24963/kr.2024/74"},"language":"en","primary_location":{"id":"doi:10.24963/kr.2024/74","is_oa":true,"landing_page_url":"https://doi.org/10.24963/kr.2024/74","pdf_url":"https://proceedings.kr.org/2024/74/kr2024-0074-xiang-et-al.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the TwentyFirst International Conference on Principles of Knowledge Representation and Reasoning","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://proceedings.kr.org/2024/74/kr2024-0074-xiang-et-al.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5007458161","display_name":"Zhiliang Xiang","orcid":"https://orcid.org/0000-0002-0263-7289"},"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":"Zhiliang Xiang","raw_affiliation_strings":["Cardiff University, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cardiff University, UK","institution_ids":["https://openalex.org/I79510175"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050582138","display_name":"Meghyn Bienvenu","orcid":"https://orcid.org/0000-0001-6229-8103"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I15057530","display_name":"Universit\u00e9 de Bordeaux","ror":"https://ror.org/057qpr032","country_code":"FR","type":"education","lineage":["https://openalex.org/I15057530"]},{"id":"https://openalex.org/I176979517","display_name":"International Research Center for Japanese Studies","ror":"https://ror.org/04861vz74","country_code":"JP","type":"education","lineage":["https://openalex.org/I1319490839","https://openalex.org/I176979517","https://openalex.org/I4210148627"]},{"id":"https://openalex.org/I4210142254","display_name":"Laboratoire Bordelais de Recherche en Informatique","ror":"https://ror.org/03adqg323","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I15057530","https://openalex.org/I4210142254","https://openalex.org/I4210159245","https://openalex.org/I4210160189"]},{"id":"https://openalex.org/I4210160189","display_name":"Institut Polytechnique de Bordeaux","ror":"https://ror.org/054qv7y42","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210160189"]},{"id":"https://openalex.org/I4387152154","display_name":"Japanese-French Laboratory for Informatics","ror":"https://ror.org/007xn7v02","country_code":"JP","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I203951103","https://openalex.org/I39804081","https://openalex.org/I4387152154","https://openalex.org/I74801974"]}],"countries":["FR","JP"],"is_corresponding":false,"raw_author_name":"Meghyn Bienvenu","raw_affiliation_strings":["Japanese-French Laboratory for Informatics, CNRS, NII, Japan","Univ. Bordeaux, CNRS, Bordeaux INP, LaBRI, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Japanese-French Laboratory for Informatics, CNRS, NII, Japan","institution_ids":["https://openalex.org/I176979517","https://openalex.org/I4387152154"]},{"raw_affiliation_string":"Univ. Bordeaux, CNRS, Bordeaux INP, LaBRI, France","institution_ids":["https://openalex.org/I15057530","https://openalex.org/I1294671590","https://openalex.org/I4210160189","https://openalex.org/I4210142254"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024682936","display_name":"Gianluca Cima","orcid":"https://orcid.org/0000-0003-1783-5605"},"institutions":[{"id":"https://openalex.org/I861853513","display_name":"Sapienza University of Rome","ror":"https://ror.org/02be6w209","country_code":"IT","type":"education","lineage":["https://openalex.org/I861853513"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Gianluca Cima","raw_affiliation_strings":["Sapienza University of Rome, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sapienza University of Rome, Italy","institution_ids":["https://openalex.org/I861853513"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010287238","display_name":"V\u00edctor Guti\u00e9rrez Basulto","orcid":null},"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":"V\u00edctor Guti\u00e9rrez Basulto","raw_affiliation_strings":["Cardiff University, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cardiff University, UK","institution_ids":["https://openalex.org/I79510175"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083011378","display_name":"Yazm\u00edn Ib\u00e1\u00f1ez Garc\u00eda","orcid":null},"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":"Yazm\u00edn Ib\u00e1\u00f1ez Garc\u00eda","raw_affiliation_strings":["Cardiff University, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cardiff University, UK","institution_ids":["https://openalex.org/I79510175"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15807144,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"788","last_page":"799"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9987000226974487,"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/T10028","display_name":"Topic Modeling","score":0.9987000226974487,"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/T11010","display_name":"Logic, Reasoning, and Knowledge","score":0.9979000091552734,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9958999752998352,"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/datalog","display_name":"Datalog","score":0.7381696701049805},{"id":"https://openalex.org/keywords/recursion","display_name":"Recursion (computer science)","score":0.727314293384552},{"id":"https://openalex.org/keywords/answer-set-programming","display_name":"Answer set programming","score":0.7226921319961548},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7175804376602173},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6481582522392273},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.6272517442703247},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5715122818946838},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.5513569116592407},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.45505741238594055},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.360167920589447},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.34023019671440125},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2451533079147339},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.07544156908988953}],"concepts":[{"id":"https://openalex.org/C148230440","wikidata":"https://www.wikidata.org/wiki/Q1172264","display_name":"Datalog","level":2,"score":0.7381696701049805},{"id":"https://openalex.org/C168773036","wikidata":"https://www.wikidata.org/wiki/Q264164","display_name":"Recursion (computer science)","level":2,"score":0.727314293384552},{"id":"https://openalex.org/C182620335","wikidata":"https://www.wikidata.org/wiki/Q2852531","display_name":"Answer set programming","level":3,"score":0.7226921319961548},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7175804376602173},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6481582522392273},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.6272517442703247},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5715122818946838},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.5513569116592407},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.45505741238594055},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.360167920589447},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.34023019671440125},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2451533079147339},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.07544156908988953}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.24963/kr.2024/74","is_oa":true,"landing_page_url":"https://doi.org/10.24963/kr.2024/74","pdf_url":"https://proceedings.kr.org/2024/74/kr2024-0074-xiang-et-al.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the TwentyFirst International Conference on Principles of Knowledge Representation and Reasoning","raw_type":"proceedings-article"},{"id":"pmh:oai:https://orca.cardiff.ac.uk:171414","is_oa":true,"landing_page_url":null,"pdf_url":"https://orca.cardiff.ac.uk/id/eprint/171414/1/ASPEN_KR2024_CR-4.pdf","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"PeerReviewed"}],"best_oa_location":{"id":"doi:10.24963/kr.2024/74","is_oa":true,"landing_page_url":"https://doi.org/10.24963/kr.2024/74","pdf_url":"https://proceedings.kr.org/2024/74/kr2024-0074-xiang-et-al.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the TwentyFirst International Conference on Principles of Knowledge Representation and Reasoning","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1796991703","display_name":null,"funder_award_id":"ANR-19-CHIA-0014","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"},{"id":"https://openalex.org/G8318455765","display_name":null,"funder_award_id":"ANR-19","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"}],"funders":[{"id":"https://openalex.org/F4320320883","display_name":"Agence Nationale de la Recherche","ror":"https://ror.org/00rbzpz17"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4403792824.pdf","grobid_xml":"https://content.openalex.org/works/W4403792824.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2955734379","https://openalex.org/W2049216635","https://openalex.org/W3121709727","https://openalex.org/W1537382653","https://openalex.org/W2517279098","https://openalex.org/W2309621853","https://openalex.org/W2030105170","https://openalex.org/W2145813209","https://openalex.org/W2893316903","https://openalex.org/W1511110679"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"present":[4],"ASPEN,":[5],"an":[6,24],"answer":[7],"set":[8],"programming":[9],"(ASP)":[10],"implementation":[11],"of":[12,41,64,77,89,98,126,129,135],"a":[13],"recently":[14],"proposed":[15],"declarative":[16],"framework":[17],"for":[18],"collective":[19],"entity":[20],"resolution":[21],"(ER).":[22],"While":[23],"ASP":[25,78],"encoding":[26],"had":[27,34],"been":[28,35],"previously":[29],"suggested,":[30],"several":[31],"practical":[32],"issues":[33],"neglected,":[36],"most":[37],"notably,":[38],"the":[39,46,65,87,105,123,133],"question":[40],"how":[42,72],"to":[43,60,73,80],"efficiently":[44],"compute":[45,81],"(externally":[47],"defined)":[48],"similarity":[49],"facts":[50],"that":[51,104],"are":[52],"used":[53],"in":[54,112],"rule":[55],"bodies.":[56],"This":[57],"leads":[58],"us":[59],"propose":[61],"new":[62],"variants":[63],"encodings":[66],"(including":[67],"Datalog":[68],"approximations)":[69],"and":[70,84,91,137],"show":[71],"employ":[74],"different":[75,127],"functionalities":[76],"solvers":[79],"(maximal)":[82],"solutions,":[83,132],"(approximations":[85],"of)":[86],"sets":[88],"possible":[90],"certain":[92],"merges.":[93],"A":[94],"comprehensive":[95],"experimental":[96],"evaluation":[97],"ASPEN":[99],"on":[100],"real-world":[101],"datasets":[102],"shows":[103],"approach":[106],"is":[107],"promising,":[108],"achieving":[109],"high":[110],"accuracy":[111],"real-life":[113],"ER":[114,131],"scenarios.":[115],"Our":[116],"experiments":[117],"also":[118],"yield":[119],"useful":[120],"insights":[121],"into":[122],"relative":[124],"merits":[125],"types":[128],"(approximate)":[130],"impact":[134],"recursion,":[136],"factors":[138],"influencing":[139],"performance.":[140]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
