{"id":"https://openalex.org/W2123194427","doi":"https://doi.org/10.1145/2588555.2594533","title":"MeanKS","display_name":"MeanKS","publication_year":2014,"publication_date":"2014-06-18","ids":{"openalex":"https://openalex.org/W2123194427","doi":"https://doi.org/10.1145/2588555.2594533","mag":"2123194427"},"language":"en","primary_location":{"id":"doi:10.1145/2588555.2594533","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2588555.2594533","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2014 ACM SIGMOD International Conference on Management of Data","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/A5084361876","display_name":"Mehdi Kargar","orcid":"https://orcid.org/0000-0001-6937-3508"},"institutions":[{"id":"https://openalex.org/I192455969","display_name":"York University","ror":"https://ror.org/05fq50484","country_code":"CA","type":"education","lineage":["https://openalex.org/I192455969"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Mehdi Kargar","raw_affiliation_strings":["York Universtiy, Toronto, ON, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"York Universtiy, Toronto, ON, Canada","institution_ids":["https://openalex.org/I192455969"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009394818","display_name":"Aijun An","orcid":"https://orcid.org/0000-0003-1765-5751"},"institutions":[{"id":"https://openalex.org/I192455969","display_name":"York University","ror":"https://ror.org/05fq50484","country_code":"CA","type":"education","lineage":["https://openalex.org/I192455969"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Aijun An","raw_affiliation_strings":["York Universtiy, Toronto, ON, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"York Universtiy, Toronto, ON, Canada","institution_ids":["https://openalex.org/I192455969"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5105530330","display_name":"Nick Cercone","orcid":null},"institutions":[{"id":"https://openalex.org/I192455969","display_name":"York University","ror":"https://ror.org/05fq50484","country_code":"CA","type":"education","lineage":["https://openalex.org/I192455969"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Nick Cercone","raw_affiliation_strings":["York Universtiy, Toronto, ON, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"York Universtiy, Toronto, ON, Canada","institution_ids":["https://openalex.org/I192455969"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000797802","display_name":"Parke Godfrey","orcid":"https://orcid.org/0000-0002-2082-1864"},"institutions":[{"id":"https://openalex.org/I192455969","display_name":"York University","ror":"https://ror.org/05fq50484","country_code":"CA","type":"education","lineage":["https://openalex.org/I192455969"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Parke Godfrey","raw_affiliation_strings":["York Universtiy, Toronto, ON, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"York Universtiy, Toronto, ON, Canada","institution_ids":["https://openalex.org/I192455969"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035817202","display_name":"Jaroslaw Szlichta","orcid":"https://orcid.org/0000-0002-3382-2890"},"institutions":[{"id":"https://openalex.org/I39470171","display_name":"Ontario Tech University","ror":"https://ror.org/016zre027","country_code":"CA","type":"education","lineage":["https://openalex.org/I39470171"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Jaroslaw Szlichta","raw_affiliation_strings":["University of Ontario Institute of Technology, Toronto, ON, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Ontario Institute of Technology, Toronto, ON, Canada","institution_ids":["https://openalex.org/I39470171"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071285426","display_name":"Xiaohui Yu","orcid":"https://orcid.org/0000-0001-8170-2327"},"institutions":[{"id":"https://openalex.org/I192455969","display_name":"York University","ror":"https://ror.org/05fq50484","country_code":"CA","type":"education","lineage":["https://openalex.org/I192455969"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Xiaohui Yu","raw_affiliation_strings":["York Universtiy, Toronto, ON, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"York Universtiy, Toronto, ON, Canada","institution_ids":["https://openalex.org/I192455969"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.2361,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.90219201,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"905","last_page":"908"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9995999932289124,"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":0.9994999766349792,"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"}},{"id":"https://openalex.org/T10742","display_name":"Peer-to-Peer Network Technologies","score":0.9980000257492065,"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":0.8229144811630249},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.7303420901298523},{"id":"https://openalex.org/keywords/schema","display_name":"Schema (genetic algorithms)","score":0.6468042731285095},{"id":"https://openalex.org/keywords/tuple","display_name":"Tuple","score":0.5479235649108887},{"id":"https://openalex.org/keywords/database-schema","display_name":"Database schema","score":0.5117034912109375},{"id":"https://openalex.org/keywords/information-schema","display_name":"Information schema","score":0.48181262612342834},{"id":"https://openalex.org/keywords/relational-database","display_name":"Relational database","score":0.4482656419277191},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.4298846125602722},{"id":"https://openalex.org/keywords/view","display_name":"View","score":0.4257936179637909},{"id":"https://openalex.org/keywords/semi-structured-model","display_name":"Semi-structured model","score":0.27120155096054077},{"id":"https://openalex.org/keywords/database-design","display_name":"Database design","score":0.20582276582717896}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8229144811630249},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.7303420901298523},{"id":"https://openalex.org/C52146309","wikidata":"https://www.wikidata.org/wiki/Q7431116","display_name":"Schema (genetic algorithms)","level":2,"score":0.6468042731285095},{"id":"https://openalex.org/C118930307","wikidata":"https://www.wikidata.org/wiki/Q600590","display_name":"Tuple","level":2,"score":0.5479235649108887},{"id":"https://openalex.org/C30775581","wikidata":"https://www.wikidata.org/wiki/Q632285","display_name":"Database schema","level":3,"score":0.5117034912109375},{"id":"https://openalex.org/C150012506","wikidata":"https://www.wikidata.org/wiki/Q6031185","display_name":"Information schema","level":5,"score":0.48181262612342834},{"id":"https://openalex.org/C5655090","wikidata":"https://www.wikidata.org/wiki/Q192588","display_name":"Relational database","level":2,"score":0.4482656419277191},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.4298846125602722},{"id":"https://openalex.org/C54239708","wikidata":"https://www.wikidata.org/wiki/Q1329910","display_name":"View","level":3,"score":0.4257936179637909},{"id":"https://openalex.org/C56310702","wikidata":"https://www.wikidata.org/wiki/Q2269281","display_name":"Semi-structured model","level":4,"score":0.27120155096054077},{"id":"https://openalex.org/C148840519","wikidata":"https://www.wikidata.org/wiki/Q1049878","display_name":"Database design","level":2,"score":0.20582276582717896},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2588555.2594533","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2588555.2594533","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2014 ACM SIGMOD International Conference on Management of Data","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Partnerships for the goals","id":"https://metadata.un.org/sdg/17","score":0.44999998807907104}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W2098388305","https://openalex.org/W2125510575","https://openalex.org/W2148942721","https://openalex.org/W2162783807"],"related_works":["https://openalex.org/W2079588361","https://openalex.org/W2031508292","https://openalex.org/W962397878","https://openalex.org/W2356754926","https://openalex.org/W2911644013","https://openalex.org/W2707736662","https://openalex.org/W2774489303","https://openalex.org/W2336519490","https://openalex.org/W2153455914","https://openalex.org/W2185193035"],"abstract_inverted_index":{"Keyword":[0],"search":[1,112],"in":[2,7,71,153],"relational":[3,114],"databases":[4],"was":[5],"introduced":[6],"the":[8,22,25,28,31,43,60,81,84,87,91,120,125,128,141,146,154,157,161,164,171,176,192],"last":[9],"decade":[10],"to":[11,59,135,190],"assist":[12],"users":[13],"who":[14],"are":[15,55],"not":[16,96],"familiar":[17],"with":[18,50],"a":[19,36,48,51,100,106,180,185],"query":[20,44],"language,":[21],"schema":[23,155],"of":[24,30,39,83,90,127,148,160,194],"database,":[26],"or":[27,86],"content":[29,159],"data.":[32],"An":[33],"answer":[34,85],"is":[35,69,95],"join":[37,137],"tree":[38],"tuples":[40],"that":[41,139],"contains":[42],"keywords.":[45,129],"When":[46],"searching":[47,99],"database":[49],"complex":[52,101],"schema,":[53],"there":[54],"potentially":[56],"many":[57],"answers":[58,64],"query.":[61],"Therefore,":[62],"ranking":[63,134],"based":[65,79],"on":[66,80],"their":[67],"relevance":[68,78,147],"crucial":[70],"this":[72,94],"context.":[73],"Prior":[74],"work":[75],"has":[76],"addressed":[77],"size":[82],"IR":[88],"scores":[89],"tuples.":[92],"However,":[93],"sufficient":[97],"when":[98],"schema.":[102],"We":[103],"demonstrate":[104],"MeanKS,":[105],"new":[107],"system":[108,117],"for":[109],"meaningful":[110],"keyword":[111,142],"over":[113,156,188],"databases.":[115],"The":[116],"first":[118],"captures":[119],"user's":[121],"interest":[122],"by":[123],"determining":[124],"roles":[126],"Then,":[130],"it":[131],"uses":[132,145],"schema-based":[133],"rank":[136],"trees":[138],"cover":[140],"roles.":[143],"This":[144],"relations":[149],"and":[150,174],"foreign-key":[151],"relationships":[152],"information":[158],"database.":[162],"In":[163],"demonstration,":[165],"attendees":[166],"can":[167],"execute":[168],"queries":[169],"against":[170,179],"TPC-E":[172,189],"warehouse":[173],"compare":[175],"proposed":[177],"measures":[178],"gold":[181],"standard":[182],"derived":[183],"from":[184],"real":[186],"workload":[187],"test":[191],"effectiveness":[193],"our":[195],"methods.":[196]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2016-06-24T00:00:00"}