{"id":"https://openalex.org/W1984549899","doi":"https://doi.org/10.1145/2463676.2463699","title":"MESSIAH","display_name":"MESSIAH","publication_year":2013,"publication_date":"2013-06-22","ids":{"openalex":"https://openalex.org/W1984549899","doi":"https://doi.org/10.1145/2463676.2463699","mag":"1984549899"},"language":"en","primary_location":{"id":"doi:10.1145/2463676.2463699","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2463676.2463699","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2013 ACM SIGMOD International Conference on Management of Data","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/A5006987450","display_name":"Ba Quan Truong","orcid":null},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Ba Quan Truong","raw_affiliation_strings":["Nanyang Technological University, Singapore, Singapore","Nanyang Technological University, Singapore, SINGAPORE#TAB#"],"affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore, Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"Nanyang Technological University, Singapore, SINGAPORE#TAB#","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061002947","display_name":"Sourav S. Bhowmick","orcid":"https://orcid.org/0000-0003-1957-8016"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Sourav S Bhowmick","raw_affiliation_strings":["Nanyang Technological University, Singapore, Singapore","Nanyang Technological University, Singapore, SINGAPORE#TAB#"],"affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore, Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"Nanyang Technological University, Singapore, SINGAPORE#TAB#","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005123859","display_name":"Curtis Dyreson","orcid":"https://orcid.org/0000-0003-0236-1515"},"institutions":[{"id":"https://openalex.org/I121980950","display_name":"Utah State University","ror":"https://ror.org/00h6set76","country_code":"US","type":"education","lineage":["https://openalex.org/I121980950"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Curtis Dyreson","raw_affiliation_strings":["Utah State University, Logan, UT, USA"],"affiliations":[{"raw_affiliation_string":"Utah State University, Logan, UT, USA","institution_ids":["https://openalex.org/I121980950"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100618738","display_name":"Aixin Sun","orcid":"https://orcid.org/0000-0003-0764-4258"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Aixin Sun","raw_affiliation_strings":["Nanyang Technological University, Singapore, Singapore","Nanyang Technological University, Singapore, SINGAPORE#TAB#"],"affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore, Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"Nanyang Technological University, Singapore, SINGAPORE#TAB#","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5006987450"],"corresponding_institution_ids":["https://openalex.org/I172675005"],"apc_list":null,"apc_paid":null,"fwci":3.1921,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.91940963,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"37","last_page":"48"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9997000098228455,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.705802857875824},{"id":"https://openalex.org/keywords/xml","display_name":"XML","score":0.6160600781440735},{"id":"https://openalex.org/keywords/messiah","display_name":"Messiah","score":0.5968400835990906},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.568357527256012},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.5604445934295654},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5514189600944519},{"id":"https://openalex.org/keywords/element","display_name":"Element (criminal law)","score":0.49380144476890564},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.44836825132369995},{"id":"https://openalex.org/keywords/schema","display_name":"Schema (genetic algorithms)","score":0.4335029423236847},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4172520041465759},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3260631263256073},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16996580362319946},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.16279980540275574},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.07432827353477478}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.705802857875824},{"id":"https://openalex.org/C8797682","wikidata":"https://www.wikidata.org/wiki/Q2115","display_name":"XML","level":2,"score":0.6160600781440735},{"id":"https://openalex.org/C2779870438","wikidata":"https://www.wikidata.org/wiki/Q51626","display_name":"Messiah","level":2,"score":0.5968400835990906},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.568357527256012},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5604445934295654},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5514189600944519},{"id":"https://openalex.org/C200288055","wikidata":"https://www.wikidata.org/wiki/Q2621792","display_name":"Element (criminal law)","level":2,"score":0.49380144476890564},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.44836825132369995},{"id":"https://openalex.org/C52146309","wikidata":"https://www.wikidata.org/wiki/Q7431116","display_name":"Schema (genetic algorithms)","level":2,"score":0.4335029423236847},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4172520041465759},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3260631263256073},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16996580362319946},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.16279980540275574},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.07432827353477478},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2463676.2463699","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2463676.2463699","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2013 ACM SIGMOD International Conference on Management of Data","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1994694191","https://openalex.org/W1999489756","https://openalex.org/W2044660360","https://openalex.org/W2065569522","https://openalex.org/W2075809648","https://openalex.org/W2088499566","https://openalex.org/W2105819430","https://openalex.org/W2109464129","https://openalex.org/W2111333747","https://openalex.org/W2113112851","https://openalex.org/W2115221525","https://openalex.org/W2126391456","https://openalex.org/W2128034913","https://openalex.org/W2130608682","https://openalex.org/W2134356404","https://openalex.org/W2147107544","https://openalex.org/W2157404359","https://openalex.org/W2160923181","https://openalex.org/W2230830246","https://openalex.org/W3013849046"],"related_works":["https://openalex.org/W1788528807","https://openalex.org/W2164837174","https://openalex.org/W2361533086","https://openalex.org/W188567224","https://openalex.org/W2101966962","https://openalex.org/W2153015554","https://openalex.org/W2115485936","https://openalex.org/W2100879664","https://openalex.org/W2335663899","https://openalex.org/W1541835810"],"abstract_inverted_index":{"Keyword":[0],"search":[1,106,132,250],"for":[2,48,135],"smallest":[3],"lowest":[4],"common":[5],"ancestors":[6],"(SLCAs)":[7],"in":[8,40,65,79,204],"XML":[9,130,166],"data":[10],"has":[11],"been":[12],"widely":[13],"accepted":[14],"as":[15,179,217],"a":[16,76,80,117,145,169],"meaningful":[17],"way":[18],"to":[19,108,159,168,194,246],"identify":[20,195],"matching":[21,42],"nodes":[22,201,203,216],"where":[23,173],"their":[24],"subtrees":[25],"contain":[26],"an":[27,69,129,165],"input":[28],"set":[29],"of":[30,68,128,144,244],"keywords.":[31],"Although":[32],"SLCA":[33,105,153,200,215],"and":[34,92,189,197],"its":[35],"variants":[36,143],"(e.g.,MLCA)":[37],"perform":[38,46],"admirably":[39],"identifying":[41],"nodes,":[43],"surprisingly,":[44],"they":[45],"poorly":[47],"searches":[49],"on":[50],"irregular":[51,160,184],"schemas":[52],"that":[53,57,60,123],"have":[54],"missing":[55,112,138,175,227,234],"elements,":[56,181],"is,":[58],"(sub)elements":[59],"are":[61,156,177,236],"optional,":[62,85],"or":[63],"appear":[64],"some":[66],"instances":[67],"element":[70,82],"type":[71],"but":[72,229],"not":[73,225],"all":[74,174],"(e.g.,":[75],"\"population\"":[77],"subelement":[78],"\"city\"":[81],"might":[83],"be":[84],"appearing":[86],"when":[87,94,221,233],"the":[88,95,104,125,183,205,213,222,242],"population":[89,96],"is":[90,97,186],"known":[91],"absent":[93],"unknown).":[98],"In":[99],"this":[100],"paper,":[101],"we":[102,115],"generalize":[103],"paradigm":[107],"support":[109],"queries":[110,136],"involving":[111,137],"elements.":[113,139],"Specifically,":[114,210],"propose":[116],"novel":[118,146],"property":[119],"called":[120,148],"optionality":[121,157],"resilience":[122],"specifies":[124],"desired":[126],"behaviors":[127],"keyword":[131],"(XKS)":[133],"approach":[134,220],"We":[140],"present":[141],"two":[142],"algorithm":[147],"MESSIAH":[149,162,245],"(Missing":[150],"Element-conSciouS":[151],"hIgh-quality":[152],"searcH),":[154],"which":[155],"resilient":[158],"documents.":[161],"logically":[163],"transforms":[164],"document":[167,172],"minimal":[170],"full":[171,199,206],"elements":[176,228,235],"represented":[178],"empty":[180],"i.e.,":[182],"schema":[185],"made":[187],"\"regular\",":[188],"then":[190],"employs":[191],"efficient":[192],"strategies":[193],"partial":[196],"complete":[198],"(SLCA":[202],"document)":[207],"from":[208],"it.":[209],"it":[211],"generates":[212],"same":[214],"any":[218],"state-of-the-art":[219],"query":[223],"does":[224],"involve":[226],"avoids":[230],"irrelevant":[231],"results":[232],"involved.":[237],"Our":[238],"experimental":[239],"study":[240],"demonstrates":[241],"ability":[243],"produce":[247],"superior":[248],"quality":[249],"results.":[251]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2016-06-24T00:00:00"}
