{"id":"https://openalex.org/W2083244513","doi":"https://doi.org/10.1145/1363686.1363900","title":"Adding background knowledge to formal concept analysis via attribute dependency formulas","display_name":"Adding background knowledge to formal concept analysis via attribute dependency formulas","publication_year":2008,"publication_date":"2008-03-16","ids":{"openalex":"https://openalex.org/W2083244513","doi":"https://doi.org/10.1145/1363686.1363900","mag":"2083244513"},"language":"en","primary_location":{"id":"doi:10.1145/1363686.1363900","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1363686.1363900","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2008 ACM 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/A5004391892","display_name":"Radim B\u011blohl\u00e1vek","orcid":"https://orcid.org/0000-0003-4924-3233"},"institutions":[{"id":"https://openalex.org/I123946342","display_name":"Binghamton University","ror":"https://ror.org/008rmbt77","country_code":"US","type":"education","lineage":["https://openalex.org/I123946342"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Radim Belohlavek","raw_affiliation_strings":["Binghamton University -- Suny, Binghamton, NY","Binghamton University (SUNY) Binghamton, NY#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Binghamton University -- Suny, Binghamton, NY","institution_ids":["https://openalex.org/I123946342"]},{"raw_affiliation_string":"Binghamton University (SUNY) Binghamton, NY#TAB#","institution_ids":["https://openalex.org/I123946342"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019589936","display_name":"Vil\u00e9m Vychodil","orcid":null},"institutions":[{"id":"https://openalex.org/I123946342","display_name":"Binghamton University","ror":"https://ror.org/008rmbt77","country_code":"US","type":"education","lineage":["https://openalex.org/I123946342"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vilem Vychodil","raw_affiliation_strings":["Binghamton University -- Suny, Binghamton, NY","Binghamton University (SUNY) Binghamton, NY#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Binghamton University -- Suny, Binghamton, NY","institution_ids":["https://openalex.org/I123946342"]},{"raw_affiliation_string":"Binghamton University (SUNY) Binghamton, NY#TAB#","institution_ids":["https://openalex.org/I123946342"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I123946342"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"938","last_page":"943"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T11106","display_name":"Data Management and Algorithms","score":0.9926000237464905,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.9821000099182129,"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/computer-science","display_name":"Computer science","score":0.7343426942825317},{"id":"https://openalex.org/keywords/knowledge-extraction","display_name":"Knowledge extraction","score":0.6620925068855286},{"id":"https://openalex.org/keywords/logical-consequence","display_name":"Logical consequence","score":0.6205093264579773},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.5942022204399109},{"id":"https://openalex.org/keywords/formal-concept-analysis","display_name":"Formal concept analysis","score":0.5853245258331299},{"id":"https://openalex.org/keywords/knowledge-based-systems","display_name":"Knowledge-based systems","score":0.4838098883628845},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.48209622502326965},{"id":"https://openalex.org/keywords/knowledge-base","display_name":"Knowledge base","score":0.4802570641040802},{"id":"https://openalex.org/keywords/textual-entailment","display_name":"Textual entailment","score":0.41472846269607544},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.39851799607276917},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36799436807632446},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3332497477531433},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1616382896900177},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1525927484035492}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7343426942825317},{"id":"https://openalex.org/C120567893","wikidata":"https://www.wikidata.org/wiki/Q1582085","display_name":"Knowledge extraction","level":2,"score":0.6620925068855286},{"id":"https://openalex.org/C134752490","wikidata":"https://www.wikidata.org/wiki/Q374182","display_name":"Logical consequence","level":2,"score":0.6205093264579773},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.5942022204399109},{"id":"https://openalex.org/C76363472","wikidata":"https://www.wikidata.org/wiki/Q1437394","display_name":"Formal concept analysis","level":2,"score":0.5853245258331299},{"id":"https://openalex.org/C115925183","wikidata":"https://www.wikidata.org/wiki/Q1412694","display_name":"Knowledge-based systems","level":2,"score":0.4838098883628845},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.48209622502326965},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.4802570641040802},{"id":"https://openalex.org/C95318506","wikidata":"https://www.wikidata.org/wiki/Q6588467","display_name":"Textual entailment","level":3,"score":0.41472846269607544},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.39851799607276917},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36799436807632446},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3332497477531433},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1616382896900177},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1525927484035492},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1363686.1363900","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1363686.1363900","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2008 ACM symposium on Applied computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.4000000059604645,"display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G2855848989","display_name":null,"funder_award_id":"201/05/0079","funder_id":"https://openalex.org/F4320321006","funder_display_name":"Grantov\u00e1 Agentura \u010cesk\u00e9 Republiky"}],"funders":[{"id":"https://openalex.org/F4320321006","display_name":"Grantov\u00e1 Agentura \u010cesk\u00e9 Republiky","ror":"https://ror.org/01pv73b02"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W31561947","https://openalex.org/W1503729935","https://openalex.org/W1553406086","https://openalex.org/W1570804745","https://openalex.org/W1576123718","https://openalex.org/W1582262226","https://openalex.org/W1992570000","https://openalex.org/W2035992751","https://openalex.org/W2115822498","https://openalex.org/W2134089414","https://openalex.org/W2151062373","https://openalex.org/W2396903734","https://openalex.org/W2622131335","https://openalex.org/W4247424885"],"related_works":["https://openalex.org/W2169644218","https://openalex.org/W12963412","https://openalex.org/W2250460949","https://openalex.org/W3158371345","https://openalex.org/W3141423438","https://openalex.org/W2071098659","https://openalex.org/W2627035043","https://openalex.org/W4385571113","https://openalex.org/W2937401546","https://openalex.org/W3030695269"],"abstract_inverted_index":{"We":[0,31,98],"present":[1,99],"a":[2,46,85,116],"way":[3],"to":[4,9,22,52],"add":[5],"user's":[6],"background":[7,16,39,42,68,78,107],"knowledge":[8,17,43,79,108],"formal":[10],"concept":[11],"analysis.":[12],"The":[13,41,48],"type":[14,37],"of":[15,25,38,55,89,106,113,119],"we":[18],"deal":[19],"with":[20,76],"relates":[21],"relative":[23],"importance":[24],"attributes":[26],"in":[27],"the":[28,58,67,77,87],"input":[29,59],"data.":[30,83],"introduce":[32],"AD-formulas":[33],"which":[34,73],"represent":[35],"this":[36],"knowledge.":[40,69],"serves":[44],"as":[45,110],"constraint.":[47],"main":[49],"aim":[50],"is":[51],"make":[53],"extraction":[54],"clusters":[56,72,91],"from":[57,82],"data":[60],"more":[61],"focused":[62],"by":[63],"taking":[64],"into":[65],"account":[66],"Particularly,":[70],"only":[71],"are":[74,80],"compatible":[75],"extracted":[81,90],"As":[84],"result,":[86],"number":[88],"becomes":[92],"smaller,":[93],"leaving":[94],"out":[95],"non-interesting":[96],"clusters.":[97],"illustrative":[100],"examples":[101],"and":[102,115],"results":[103],"on":[104],"entailment":[105,114],"such":[109],"efficient":[111],"testing":[112],"complete":[117],"systems":[118],"deduction":[120],"rules.":[121]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
