{"id":"https://openalex.org/W2428096022","doi":"https://doi.org/10.1145/2939502.2939506","title":"Towards a general-purpose query language for visualization recommendation","display_name":"Towards a general-purpose query language for visualization recommendation","publication_year":2016,"publication_date":"2016-06-17","ids":{"openalex":"https://openalex.org/W2428096022","doi":"https://doi.org/10.1145/2939502.2939506","mag":"2428096022"},"language":"en","primary_location":{"id":"doi:10.1145/2939502.2939506","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2939502.2939506","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Workshop on Human-In-the-Loop Data Analytics","raw_type":"proceedings-article"},"type":"article","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/A5070061774","display_name":"Kanit Wongsuphasawat","orcid":"https://orcid.org/0000-0001-7231-279X"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Kanit Wongsuphasawat","raw_affiliation_strings":["University of Washington"],"affiliations":[{"raw_affiliation_string":"University of Washington","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006087928","display_name":"Dominik Moritz","orcid":"https://orcid.org/0000-0002-3110-1053"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dominik Moritz","raw_affiliation_strings":["University of Washington"],"affiliations":[{"raw_affiliation_string":"University of Washington","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077148853","display_name":"Anushka Anand","orcid":null},"institutions":[{"id":"https://openalex.org/I4210163771","display_name":"Tableau Software (United States)","ror":"https://ror.org/053v5e348","country_code":"US","type":"company","lineage":["https://openalex.org/I4210163771"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anushka Anand","raw_affiliation_strings":["Tableau Research"],"affiliations":[{"raw_affiliation_string":"Tableau Research","institution_ids":["https://openalex.org/I4210163771"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009369598","display_name":"Jock D. Mackinlay","orcid":null},"institutions":[{"id":"https://openalex.org/I4210163771","display_name":"Tableau Software (United States)","ror":"https://ror.org/053v5e348","country_code":"US","type":"company","lineage":["https://openalex.org/I4210163771"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jock Mackinlay","raw_affiliation_strings":["Tableau Research"],"affiliations":[{"raw_affiliation_string":"Tableau Research","institution_ids":["https://openalex.org/I4210163771"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007124763","display_name":"Bill Howe","orcid":"https://orcid.org/0000-0001-8588-8472"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bill Howe","raw_affiliation_strings":["University of Washington"],"affiliations":[{"raw_affiliation_string":"University of Washington","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090570042","display_name":"Jeffrey Heer","orcid":"https://orcid.org/0000-0002-6175-1655"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jeffrey Heer","raw_affiliation_strings":["University of Washington"],"affiliations":[{"raw_affiliation_string":"University of Washington","institution_ids":["https://openalex.org/I201448701"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5070061774"],"corresponding_institution_ids":["https://openalex.org/I201448701"],"apc_list":null,"apc_paid":null,"fwci":4.2236,"has_fulltext":false,"cited_by_count":115,"citation_normalized_percentile":{"value":0.96253232,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10799","display_name":"Data Visualization and Analytics","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.9959999918937683,"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/T10317","display_name":"Advanced Database Systems and Queries","score":0.9926000237464905,"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/computer-science","display_name":"Computer science","score":0.89936763048172},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.7559748888015747},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.6559683680534363},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.6431145668029785},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5738019943237305},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5625743269920349},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.49755409359931946},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.457955002784729},{"id":"https://openalex.org/keywords/query-language","display_name":"Query language","score":0.440034955739975},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3466985523700714},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.2952442169189453},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.21518465876579285},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.1989595592021942}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.89936763048172},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.7559748888015747},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.6559683680534363},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.6431145668029785},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5738019943237305},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5625743269920349},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.49755409359931946},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.457955002784729},{"id":"https://openalex.org/C192028432","wikidata":"https://www.wikidata.org/wiki/Q845739","display_name":"Query language","level":2,"score":0.440034955739975},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3466985523700714},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.2952442169189453},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.21518465876579285},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.1989595592021942},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2939502.2939506","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2939502.2939506","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Workshop on Human-In-the-Loop Data Analytics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.44999998807907104}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320952","display_name":"International Science and Technology Center","ror":"https://ror.org/03fn1w943"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W146699588","https://openalex.org/W613679379","https://openalex.org/W1587026990","https://openalex.org/W1896226795","https://openalex.org/W1912832475","https://openalex.org/W1961845056","https://openalex.org/W1971781829","https://openalex.org/W2020323341","https://openalex.org/W2059216172","https://openalex.org/W2079201812","https://openalex.org/W2096080031","https://openalex.org/W2113411758","https://openalex.org/W2114033855","https://openalex.org/W2132631291","https://openalex.org/W2132881639","https://openalex.org/W2135415614","https://openalex.org/W2147931936","https://openalex.org/W2152922709","https://openalex.org/W2156440763","https://openalex.org/W2157379557","https://openalex.org/W2160382748","https://openalex.org/W2257756289","https://openalex.org/W2611990000","https://openalex.org/W4230096730","https://openalex.org/W6655578993","https://openalex.org/W6737340227"],"related_works":["https://openalex.org/W4390273403","https://openalex.org/W4386781444","https://openalex.org/W2150182025","https://openalex.org/W3092950680","https://openalex.org/W3197542405","https://openalex.org/W2056712470","https://openalex.org/W3125580266","https://openalex.org/W4288390103","https://openalex.org/W4317039510","https://openalex.org/W4238861846"],"abstract_inverted_index":{"Creating":[0],"effective":[1],"visualizations":[2],"requires":[3],"domain":[4],"familiarity":[5],"as":[6,8],"well":[7],"design":[9,79],"and":[10,13,37,92,98],"analysis":[11],"expertise,":[12],"may":[14],"impose":[15],"a":[16,50,65,85,126],"tedious":[17],"specification":[18,29,66,87],"process.":[19],"To":[20,102],"address":[21],"these":[22],"difficulties,":[23],"many":[24],"visualization":[25,58,131],"tools":[26],"complement":[27],"manual":[28],"with":[30],"recommendations.":[31],"However,":[32],"designing":[33],"interfaces,":[34],"ranking":[35],"metrics,":[36],"scalable":[38],"recommender":[39,59,112,132],"systems":[40,60,113],"remain":[41],"important":[42],"research":[43],"challenges.":[44],"In":[45],"this":[46],"paper,":[47],"we":[48,109,120],"propose":[49],"common":[51,127],"framework":[52],"for":[53,68,95,129],"facilitating":[54],"the":[55,62,71,77,104,107,122],"development":[56],"of":[57,64,73,80,106,116,125],"in":[61,114],"form":[63],"language":[67,128],"querying":[69],"over":[70],"space":[72],"visualizations.":[74,101],"We":[75],"present":[76],"preliminary":[78],"CompassQL,":[81],"which":[82],"defines":[83],"(1)":[84],"partial":[86],"that":[88],"describes":[89],"enumeration":[90],"constraints,":[91],"(2)":[93],"methods":[94],"choosing,":[96],"ranking,":[97],"grouping":[99],"recommended":[100],"demonstrate":[103],"expressivity":[105],"language,":[108],"describe":[110],"existing":[111],"terms":[115],"CompassQL":[117],"queries.":[118],"Finally,":[119],"discuss":[121],"prospective":[123],"benefits":[124],"future":[130],"systems.":[133]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":15},{"year":2021,"cited_by_count":30},{"year":2020,"cited_by_count":14},{"year":2019,"cited_by_count":15},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1}],"updated_date":"2026-04-14T08:04:32.555800","created_date":"2025-10-10T00:00:00"}