{"id":"https://openalex.org/W1991897642","doi":"https://doi.org/10.1109/icde.2010.5447818","title":"Supporting top-K keyword search in XML databases","display_name":"Supporting top-K keyword search in XML databases","publication_year":2010,"publication_date":"2010-01-01","ids":{"openalex":"https://openalex.org/W1991897642","doi":"https://doi.org/10.1109/icde.2010.5447818","mag":"1991897642"},"language":"en","primary_location":{"id":"doi:10.1109/icde.2010.5447818","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icde.2010.5447818","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE 26th International Conference on Data Engineering (ICDE 2010)","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/A5014001826","display_name":"Liang Jeff Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California, San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Liang Jeff Chen","raw_affiliation_strings":["Department of Computer Science and Engineering, University of California, San Diego, La Jolla, CA, USA","Department of Computer Science and Engineering , UCSD, La Jolla, CA, US"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of California, San Diego, La Jolla, CA, USA","institution_ids":["https://openalex.org/I36258959"]},{"raw_affiliation_string":"Department of Computer Science and Engineering , UCSD, La Jolla, CA, US","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059167302","display_name":"Yannis Papakonstantinou","orcid":"https://orcid.org/0009-0007-6360-9496"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California, San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yannis Papakonstantinou","raw_affiliation_strings":["Department of Computer Science and Engineering, University of California, San Diego, La Jolla, CA, USA","Department of Computer Science and Engineering , UCSD, La Jolla, CA, US"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of California, San Diego, La Jolla, CA, USA","institution_ids":["https://openalex.org/I36258959"]},{"raw_affiliation_string":"Department of Computer Science and Engineering , UCSD, La Jolla, CA, US","institution_ids":["https://openalex.org/I36258959"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5014001826"],"corresponding_institution_ids":["https://openalex.org/I36258959"],"apc_list":null,"apc_paid":null,"fwci":14.37595709,"has_fulltext":false,"cited_by_count":81,"citation_normalized_percentile":{"value":0.9941585,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"689","last_page":"700"},"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/T10215","display_name":"Semantic Web and Ontologies","score":0.9962000250816345,"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":0.86594557762146},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.6658993363380432},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.6571012735366821},{"id":"https://openalex.org/keywords/xml-database","display_name":"XML database","score":0.6413576602935791},{"id":"https://openalex.org/keywords/xml","display_name":"XML","score":0.6101890206336975},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.5287192463874817},{"id":"https://openalex.org/keywords/relational-database","display_name":"Relational database","score":0.5025854110717773},{"id":"https://openalex.org/keywords/joins","display_name":"Joins","score":0.49539482593536377},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.3484177589416504},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33930152654647827},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.1454942226409912},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.09311485290527344}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.86594557762146},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.6658993363380432},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.6571012735366821},{"id":"https://openalex.org/C183068750","wikidata":"https://www.wikidata.org/wiki/Q357393","display_name":"XML database","level":3,"score":0.6413576602935791},{"id":"https://openalex.org/C8797682","wikidata":"https://www.wikidata.org/wiki/Q2115","display_name":"XML","level":2,"score":0.6101890206336975},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.5287192463874817},{"id":"https://openalex.org/C5655090","wikidata":"https://www.wikidata.org/wiki/Q192588","display_name":"Relational database","level":2,"score":0.5025854110717773},{"id":"https://openalex.org/C2778692605","wikidata":"https://www.wikidata.org/wiki/Q4041866","display_name":"Joins","level":2,"score":0.49539482593536377},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.3484177589416504},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33930152654647827},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.1454942226409912},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.09311485290527344},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icde.2010.5447818","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icde.2010.5447818","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE 26th International Conference on Data Engineering (ICDE 2010)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W1513916588","https://openalex.org/W1660390307","https://openalex.org/W1973828215","https://openalex.org/W1989944922","https://openalex.org/W2083039049","https://openalex.org/W2088039650","https://openalex.org/W2088499566","https://openalex.org/W2090682579","https://openalex.org/W2098388305","https://openalex.org/W2105819430","https://openalex.org/W2108572131","https://openalex.org/W2115221525","https://openalex.org/W2117461391","https://openalex.org/W2118302148","https://openalex.org/W2120819781","https://openalex.org/W2121350579","https://openalex.org/W2121630402","https://openalex.org/W2122550694","https://openalex.org/W2123544675","https://openalex.org/W2123686039","https://openalex.org/W2125630417","https://openalex.org/W2126391456","https://openalex.org/W2128034913","https://openalex.org/W2133585661","https://openalex.org/W2134206624","https://openalex.org/W2137523786","https://openalex.org/W2139273822","https://openalex.org/W2143682328","https://openalex.org/W2147287607","https://openalex.org/W2148942721","https://openalex.org/W2168960477","https://openalex.org/W2169624745","https://openalex.org/W2221389368","https://openalex.org/W3138367763","https://openalex.org/W4229943126","https://openalex.org/W4231234833","https://openalex.org/W6630731242","https://openalex.org/W6638231387","https://openalex.org/W6672962944","https://openalex.org/W6679460971","https://openalex.org/W6680420541"],"related_works":["https://openalex.org/W2088925915","https://openalex.org/W2382891957","https://openalex.org/W2048497404","https://openalex.org/W2002407106","https://openalex.org/W2912746893","https://openalex.org/W624394832","https://openalex.org/W2390578122","https://openalex.org/W54565381","https://openalex.org/W2029787272","https://openalex.org/W3150275076"],"abstract_inverted_index":{"Keyword":[0],"search":[1,80,164],"is":[2,23,81],"considered":[3],"to":[4,38,98,160,176],"be":[5,130],"an":[6,82],"effective":[7],"information":[8],"discovery":[9],"method":[10],"for":[11,77],"both":[12],"structured":[13],"and":[14,41,52,103,133,156,179],"semi-structured":[15],"data.":[16],"In":[17,44,141],"XML":[18,78,166],"keyword":[19,79,163,173],"search,":[20],"query":[21,174],"semantics":[22,36],"based":[24],"on":[25,72,94],"the":[26,45,62,65,100,111,131,138,153,157,172,181,184,194],"concept":[27],"of":[28,60,106,116,148,183,197],"Lowest":[29],"Common":[30],"Ancestor":[31],"(LCA).":[32],"However,":[33],"naive":[34],"LCA-based":[35,47],"leads":[37],"exponential":[39],"computation":[40],"result":[42],"size.":[43],"literature,":[46],"semantic":[48,101,139,154],"variants":[49],"(e.g.,":[50,122],"ELCA":[51],"SLCA)":[53],"were":[54],"proposed,":[55],"which":[56],"define":[57],"a":[58,146],"subset":[59],"all":[61],"LCAs":[63,126],"as":[64],"results.":[66],"While":[67],"most":[68],"existing":[69],"work":[70],"focuses":[71],"algorithmic":[73],"efficiency,":[74],"top-K":[75,108,117,158,162,185],"processing":[76,159],"important":[83],"issue":[84],"that":[85,127,151],"has":[86],"received":[87],"very":[88],"little":[89],"attention.":[90],"Existing":[91],"algorithms":[92,150,169],"focusing":[93],"efficiency":[95],"are":[96,104],"designed":[97],"optimize":[99],"pruning":[102,155],"incapable":[105],"supporting":[107],"processing.":[109],"On":[110],"other":[112,120],"hand,":[113],"straightforward":[114],"applications":[115],"techniques":[118],"from":[119,187],"areas":[121],"relational":[123,177,188],"databases)":[124],"generate":[125],"may":[128],"not":[129],"results":[132],"unnecessarily":[134],"expand":[135],"efforts":[136],"in":[137,165],"pruning.":[140],"this":[142],"paper,":[143],"we":[144],"propose":[145],"series":[147],"join-based":[149],"combine":[152],"support":[161],"databases.":[167,189],"The":[168],"essentially":[170],"reduce":[171],"evaluation":[175],"joins,":[178],"incorporate":[180],"idea":[182],"join":[186],"Extensive":[190],"experimental":[191],"evaluations":[192],"show":[193],"performance":[195],"advantages":[196],"our":[198],"algorithms.":[199]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":8},{"year":2015,"cited_by_count":8},{"year":2014,"cited_by_count":7},{"year":2013,"cited_by_count":11},{"year":2012,"cited_by_count":17}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
