{"id":"https://openalex.org/W7123554138","doi":"https://doi.org/10.1145/3769126.3769243","title":"Rule-based Classifier Models","display_name":"Rule-based Classifier Models","publication_year":2025,"publication_date":"2025-06-16","ids":{"openalex":"https://openalex.org/W7123554138","doi":"https://doi.org/10.1145/3769126.3769243"},"language":"en","primary_location":{"id":"doi:10.1145/3769126.3769243","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3769126.3769243","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twentieth International Conference on Artificial Intelligence and Law","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3769126.3769243","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5033932067","display_name":"Cecilia Di Florio","orcid":"https://orcid.org/0000-0002-8927-7414"},"institutions":[{"id":"https://openalex.org/I186903577","display_name":"University of Luxembourg","ror":"https://ror.org/036x5ad56","country_code":"LU","type":"education","lineage":["https://openalex.org/I186903577"]},{"id":"https://openalex.org/I9360294","display_name":"University of Bologna","ror":"https://ror.org/01111rn36","country_code":"IT","type":"education","lineage":["https://openalex.org/I9360294"]}],"countries":["IT","LU"],"is_corresponding":false,"raw_author_name":"Cecilia Di Florio","raw_affiliation_strings":["University of Bologna, Bologna, Italy and University of Luxembourg, Esch-sur-Alzette, Luxembourg"],"raw_orcid":"https://orcid.org/0000-0002-8927-7414","affiliations":[{"raw_affiliation_string":"University of Bologna, Bologna, Italy and University of Luxembourg, Esch-sur-Alzette, Luxembourg","institution_ids":["https://openalex.org/I9360294","https://openalex.org/I186903577"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114335221","display_name":"Huimin Dong","orcid":null},"institutions":[{"id":"https://openalex.org/I145847075","display_name":"TU Wien","ror":"https://ror.org/04d836q62","country_code":"AT","type":"education","lineage":["https://openalex.org/I145847075"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Huimin Dong","raw_affiliation_strings":["TU Wien, Vienna, Austria"],"raw_orcid":"https://orcid.org/0000-0002-4951-0111","affiliations":[{"raw_affiliation_string":"TU Wien, Vienna, Austria","institution_ids":["https://openalex.org/I145847075"]}]},{"author_position":"last","author":{"id":null,"display_name":"Antonino Rotolo","orcid":"https://orcid.org/0000-0001-5265-0660"},"institutions":[{"id":"https://openalex.org/I9360294","display_name":"University of Bologna","ror":"https://ror.org/01111rn36","country_code":"IT","type":"education","lineage":["https://openalex.org/I9360294"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Antonino Rotolo","raw_affiliation_strings":["University of Bologna, Bologna, Italy"],"raw_orcid":"https://orcid.org/0000-0001-5265-0660","affiliations":[{"raw_affiliation_string":"University of Bologna, Bologna, Italy","institution_ids":["https://openalex.org/I9360294"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.78759232,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"465","last_page":"469"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13643","display_name":"Artificial Intelligence in Law","score":0.2939999997615814,"subfield":{"id":"https://openalex.org/subfields/3320","display_name":"Political Science and International Relations"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T13643","display_name":"Artificial Intelligence in Law","score":0.2939999997615814,"subfield":{"id":"https://openalex.org/subfields/3320","display_name":"Political Science and International Relations"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10456","display_name":"Multi-Agent Systems and Negotiation","score":0.1251000016927719,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.11710000038146973,"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/classifier","display_name":"Classifier (UML)","score":0.7957000136375427},{"id":"https://openalex.org/keywords/margin-classifier","display_name":"Margin classifier","score":0.4812999963760376},{"id":"https://openalex.org/keywords/hierarchy","display_name":"Hierarchy","score":0.3725000023841858},{"id":"https://openalex.org/keywords/quadratic-classifier","display_name":"Quadratic classifier","score":0.34940001368522644},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.2921000123023987}],"concepts":[{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.7957000136375427},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6304000020027161},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6164000034332275},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.48260000348091125},{"id":"https://openalex.org/C173102733","wikidata":"https://www.wikidata.org/wiki/Q6760396","display_name":"Margin classifier","level":3,"score":0.4812999963760376},{"id":"https://openalex.org/C31170391","wikidata":"https://www.wikidata.org/wiki/Q188619","display_name":"Hierarchy","level":2,"score":0.3725000023841858},{"id":"https://openalex.org/C52620605","wikidata":"https://www.wikidata.org/wiki/Q7268357","display_name":"Quadratic classifier","level":3,"score":0.34940001368522644},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3061000108718872},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2921000123023987},{"id":"https://openalex.org/C139532973","wikidata":"https://www.wikidata.org/wiki/Q2679259","display_name":"Linear classifier","level":3,"score":0.2533000111579895}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3769126.3769243","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3769126.3769243","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twentieth International Conference on Artificial Intelligence and Law","raw_type":"proceedings-article"},{"id":"pmh:oai:cris.unibo.it:11585/1050387","is_oa":false,"landing_page_url":"https://hdl.handle.net/11585/1050387","pdf_url":null,"source":{"id":"https://openalex.org/S4306402579","display_name":"Archivio istituzionale della ricerca (Alma Mater Studiorum Universit\u00e0 di Bologna)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210117483","host_organization_name":"Istituto di Ematologia di Bologna","host_organization_lineage":["https://openalex.org/I4210117483"],"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":"info:eu-repo/semantics/bookPart"}],"best_oa_location":{"id":"doi:10.1145/3769126.3769243","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3769126.3769243","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twentieth International Conference on Artificial Intelligence and Law","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.8024498224258423,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2102224868","https://openalex.org/W2146555293","https://openalex.org/W2170244904","https://openalex.org/W3185183613","https://openalex.org/W4311978794","https://openalex.org/W4318541228","https://openalex.org/W4386506713","https://openalex.org/W4389565684","https://openalex.org/W4389565692","https://openalex.org/W4389565704","https://openalex.org/W4389702648","https://openalex.org/W4405042969"],"related_works":[],"abstract_inverted_index":{"We":[0,79],"extend":[1],"the":[2,10,14,22,35,57,67,102,106,114],"formal":[3],"framework":[4,17,117],"of":[5,47,59,71,77,100,108],"classifier":[6,16,93,116],"models":[7],"used":[8,112],"in":[9,113],"legal":[11,25],"domain.":[12],"While":[13],"existing":[15],"characterises":[18],"cases":[19,85],"solely":[20],"through":[21],"facts":[23,31],"involved,":[24],"reasoning":[26],"fundamentally":[27],"relies":[28],"on":[29,56],"both":[30],"and":[32,105],"rules,":[33],"particularly":[34],"ratio":[36],"decidendi.":[37],"This":[38],"paper":[39],"presents":[40],"an":[41,98],"initial":[42],"approach":[43],"to":[44],"incorporating":[45],"sets":[46],"rules":[48],"within":[49,74],"a":[50,75],"classifier.":[51],"Our":[52],"work":[53,58],"is":[54],"built":[55],"Canavotto":[60],"et":[61],"al.":[62],"(2023),":[63],"which":[64],"has":[65],"developed":[66],"rule-based":[68,92],"reason":[69],"model":[70],"precedential":[72],"constraint":[73],"hierarchy":[76,107],"factors.":[78],"demonstrate":[80],"how":[81,101],"decisions":[82],"for":[83],"new":[84,115],"can":[86,110],"be":[87,111],"inferred":[88],"using":[89],"this":[90],"enriched":[91],"framework.":[94],"Additionally,":[95],"we":[96],"provide":[97],"example":[99],"time":[103],"element":[104],"courts":[109]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-01-14T00:00:00"}