{"id":"https://openalex.org/W2122699404","doi":"https://doi.org/10.14778/1454159.1454198","title":"An effective and versatile keyword search engine on heterogenous data sources","display_name":"An effective and versatile keyword search engine on heterogenous data sources","publication_year":2008,"publication_date":"2008-08-01","ids":{"openalex":"https://openalex.org/W2122699404","doi":"https://doi.org/10.14778/1454159.1454198","mag":"2122699404"},"language":"en","primary_location":{"id":"doi:10.14778/1454159.1454198","is_oa":false,"landing_page_url":"https://doi.org/10.14778/1454159.1454198","pdf_url":null,"source":{"id":"https://openalex.org/S4210226185","display_name":"Proceedings of the VLDB Endowment","issn_l":"2150-8097","issn":["2150-8097"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the VLDB Endowment","raw_type":"journal-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/A5100451576","display_name":"Guoliang Li","orcid":"https://orcid.org/0000-0002-1398-0621"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guoliang Li","raw_affiliation_strings":["Tsinghua University, Beijing, P.R. China","TsingHua University, Beijing, P.R. China#TAB#"],"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, P.R. China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"TsingHua University, Beijing, P.R. China#TAB#","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100951661","display_name":"Jianhua Feng","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianhua Feng","raw_affiliation_strings":["Tsinghua University, Beijing, P.R. China","TsingHua University, Beijing, P.R. China#TAB#"],"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, P.R. China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"TsingHua University, Beijing, P.R. China#TAB#","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100630868","display_name":"Jianyong Wang","orcid":"https://orcid.org/0000-0002-7555-170X"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianyong Wang","raw_affiliation_strings":["Tsinghua University, Beijing, P.R. China","TsingHua University, Beijing, P.R. China#TAB#"],"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, P.R. China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"TsingHua University, Beijing, P.R. China#TAB#","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109309781","display_name":"Lizhu Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lizhu Zhou","raw_affiliation_strings":["Tsinghua University, Beijing, P.R. China","TsingHua University, Beijing, P.R. China#TAB#"],"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, P.R. China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"TsingHua University, Beijing, P.R. China#TAB#","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100451576"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":2.6682,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.91014913,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"1","issue":"2","first_page":"1452","last_page":"1455"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10317","display_name":"Advanced Database Systems and Queries","score":0.9994000196456909,"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"}},"topics":[{"id":"https://openalex.org/T10317","display_name":"Advanced Database Systems and Queries","score":0.9994000196456909,"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/T11106","display_name":"Data Management and Algorithms","score":0.9991999864578247,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9948999881744385,"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":0.8352560997009277},{"id":"https://openalex.org/keywords/keyword-search","display_name":"Keyword search","score":0.81002277135849},{"id":"https://openalex.org/keywords/xpath","display_name":"XPath","score":0.7115367650985718},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.6239371299743652},{"id":"https://openalex.org/keywords/keyword-density","display_name":"Keyword density","score":0.6087971329689026},{"id":"https://openalex.org/keywords/search-oriented-architecture","display_name":"Search-oriented architecture","score":0.559822142124176},{"id":"https://openalex.org/keywords/xquery","display_name":"XQuery","score":0.5453457832336426},{"id":"https://openalex.org/keywords/inverted-index","display_name":"Inverted index","score":0.5449224710464478},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.5448633432388306},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.4944934546947479},{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.49025943875312805},{"id":"https://openalex.org/keywords/search-analytics","display_name":"Search analytics","score":0.48927924036979675},{"id":"https://openalex.org/keywords/sql","display_name":"SQL","score":0.4777795076370239},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4536336362361908},{"id":"https://openalex.org/keywords/usability","display_name":"Usability","score":0.444632351398468},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.43426939845085144},{"id":"https://openalex.org/keywords/unstructured-data","display_name":"Unstructured data","score":0.423339307308197},{"id":"https://openalex.org/keywords/index","display_name":"Index (typography)","score":0.4129522442817688},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37812983989715576},{"id":"https://openalex.org/keywords/xml","display_name":"XML","score":0.3356967866420746},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.2638769745826721},{"id":"https://openalex.org/keywords/web-search-query","display_name":"Web search query","score":0.2631608843803406},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.2630313038825989},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.23068320751190186},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.17318767309188843},{"id":"https://openalex.org/keywords/document-structure-description","display_name":"Document Structure Description","score":0.12515002489089966},{"id":"https://openalex.org/keywords/xml-database","display_name":"XML database","score":0.11283153295516968},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.10303637385368347},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.0922890305519104}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8352560997009277},{"id":"https://openalex.org/C2988412617","wikidata":"https://www.wikidata.org/wiki/Q7441656","display_name":"Keyword search","level":2,"score":0.81002277135849},{"id":"https://openalex.org/C2780213375","wikidata":"https://www.wikidata.org/wiki/Q16340","display_name":"XPath","level":4,"score":0.7115367650985718},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.6239371299743652},{"id":"https://openalex.org/C57560718","wikidata":"https://www.wikidata.org/wiki/Q125627","display_name":"Keyword density","level":3,"score":0.6087971329689026},{"id":"https://openalex.org/C157154645","wikidata":"https://www.wikidata.org/wiki/Q7441612","display_name":"Search-oriented architecture","level":5,"score":0.559822142124176},{"id":"https://openalex.org/C2780512708","wikidata":"https://www.wikidata.org/wiki/Q850661","display_name":"XQuery","level":4,"score":0.5453457832336426},{"id":"https://openalex.org/C130590232","wikidata":"https://www.wikidata.org/wiki/Q1671754","display_name":"Inverted index","level":3,"score":0.5449224710464478},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.5448633432388306},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.4944934546947479},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.49025943875312805},{"id":"https://openalex.org/C14838553","wikidata":"https://www.wikidata.org/wiki/Q7441639","display_name":"Search analytics","level":4,"score":0.48927924036979675},{"id":"https://openalex.org/C510870499","wikidata":"https://www.wikidata.org/wiki/Q47607","display_name":"SQL","level":2,"score":0.4777795076370239},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4536336362361908},{"id":"https://openalex.org/C170130773","wikidata":"https://www.wikidata.org/wiki/Q216378","display_name":"Usability","level":2,"score":0.444632351398468},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.43426939845085144},{"id":"https://openalex.org/C2781252014","wikidata":"https://www.wikidata.org/wiki/Q1141900","display_name":"Unstructured data","level":3,"score":0.423339307308197},{"id":"https://openalex.org/C2777382242","wikidata":"https://www.wikidata.org/wiki/Q6017816","display_name":"Index (typography)","level":2,"score":0.4129522442817688},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37812983989715576},{"id":"https://openalex.org/C8797682","wikidata":"https://www.wikidata.org/wiki/Q2115","display_name":"XML","level":2,"score":0.3356967866420746},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.2638769745826721},{"id":"https://openalex.org/C164120249","wikidata":"https://www.wikidata.org/wiki/Q995982","display_name":"Web search query","level":3,"score":0.2631608843803406},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.2630313038825989},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.23068320751190186},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.17318767309188843},{"id":"https://openalex.org/C68699486","wikidata":"https://www.wikidata.org/wiki/Q265904","display_name":"Document Structure Description","level":3,"score":0.12515002489089966},{"id":"https://openalex.org/C183068750","wikidata":"https://www.wikidata.org/wiki/Q357393","display_name":"XML database","level":3,"score":0.11283153295516968},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.10303637385368347},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.0922890305519104}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.14778/1454159.1454198","is_oa":false,"landing_page_url":"https://doi.org/10.14778/1454159.1454198","pdf_url":null,"source":{"id":"https://openalex.org/S4210226185","display_name":"Proceedings of the VLDB Endowment","issn_l":"2150-8097","issn":["2150-8097"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the VLDB Endowment","raw_type":"journal-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.140.8704","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.140.8704","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.vldb.org/pvldb/1/1454198.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.5199999809265137}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1571974300","https://openalex.org/W1581680754","https://openalex.org/W1973828215","https://openalex.org/W1981113794","https://openalex.org/W1981585544","https://openalex.org/W2035814200","https://openalex.org/W2096076988","https://openalex.org/W2110510808","https://openalex.org/W2121350579","https://openalex.org/W2128034913","https://openalex.org/W2132745220","https://openalex.org/W2148942721","https://openalex.org/W2169624745"],"related_works":["https://openalex.org/W2355446901","https://openalex.org/W2486756614","https://openalex.org/W4213327256","https://openalex.org/W2073024456","https://openalex.org/W2062115694","https://openalex.org/W4252166815","https://openalex.org/W1997305375","https://openalex.org/W214946328","https://openalex.org/W4253215314","https://openalex.org/W4206947581"],"abstract_inverted_index":{"We":[0],"present":[1],"EASE,":[2],"an":[3,93],"effective":[4,88],"and":[5,23,52,69,77,101],"versatile":[6],"keyword":[7,40,55,89],"search":[8,41,109],"engine":[9],"that":[10,42],"enables":[11],"users":[12],"to":[13,50,97],"easily":[14],"access":[15],"the":[16,27,47,58,75],"heterogenous":[17,59],"data":[18,71],"composed":[19],"of":[20,29,82],"unstructured,":[21,67],"semi-structured":[22,68],"structured":[24,70],"data,":[25],"without":[26],"need":[28],"learning":[30],"XPath/XQuery":[31],"or":[32],"SQL":[33],"languages.":[34],"EASE":[35,65,91],"addresses":[36],"a":[37,103],"challenge":[38],"in":[39,46],"has":[43],"been":[44],"neglected":[45],"literature:":[48],"how":[49],"efficiently":[51],"adaptively":[53],"process":[54],"queries":[56],"on":[57],"data.":[60],"To":[61],"provide":[62],"such":[63],"capability,":[64],"models":[66],"as":[72],"graphs,":[73,76],"summarizes":[74],"constructs":[78],"graph":[79],"indices":[80,86],"instead":[81],"using":[83],"traditional":[84],"inverted":[85,95],"for":[87,107],"search.":[90],"adopts":[92],"extended":[94],"index":[96],"facilitate":[98],"keyword-based":[99],"search,":[100],"employs":[102],"novel":[104],"ranking":[105],"mechanism":[106],"enhancing":[108],"effectiveness.":[110]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}