{"id":"https://openalex.org/W2109843835","doi":"https://doi.org/10.1109/dasfaa.2003.1192399","title":"Cost-driven storage schema selection for XML","display_name":"Cost-driven storage schema selection for XML","publication_year":2003,"publication_date":"2003-01-01","ids":{"openalex":"https://openalex.org/W2109843835","doi":"https://doi.org/10.1109/dasfaa.2003.1192399","mag":"2109843835"},"language":"en","primary_location":{"id":"doi:10.1109/dasfaa.2003.1192399","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dasfaa.2003.1192399","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Eighth International Conference on Database Systems for Advanced Applications, 2003. (DASFAA 2003). Proceedings.","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/A5035616913","display_name":"Shihui Zheng","orcid":"https://orcid.org/0000-0001-6360-5777"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shihui Zheng","raw_affiliation_strings":["Fudan University, Shanghai, China","Fudan University Shanghai, China#TAB#"],"affiliations":[{"raw_affiliation_string":"Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]},{"raw_affiliation_string":"Fudan University Shanghai, China#TAB#","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025631695","display_name":"Ji-Rong Wen","orcid":"https://orcid.org/0000-0002-9777-9676"},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"JI-Rong Wen","raw_affiliation_strings":["Microsoft Research Asia, Beijing, China","Microsoft Research Asia,"],"affiliations":[{"raw_affiliation_string":"Microsoft Research Asia, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]},{"raw_affiliation_string":"Microsoft Research Asia,","institution_ids":["https://openalex.org/I4210113369"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103551313","display_name":"Hongjun L\u00fc","orcid":null},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Hongjun Lu","raw_affiliation_strings":["Hong Kong University of Science and Technology, Hong Kong, China","Hong Kong University of Science & Technology"],"affiliations":[{"raw_affiliation_string":"Hong Kong University of Science and Technology, Hong Kong, China","institution_ids":["https://openalex.org/I200769079"]},{"raw_affiliation_string":"Hong Kong University of Science & Technology","institution_ids":["https://openalex.org/I200769079"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5035616913"],"corresponding_institution_ids":["https://openalex.org/I24943067"],"apc_list":null,"apc_paid":null,"fwci":0.9954,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.81952494,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"1","issue":null,"first_page":"337","last_page":"344"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10317","display_name":"Advanced Database Systems and Queries","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9980000257492065,"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"}},{"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8310240507125854},{"id":"https://openalex.org/keywords/heuristics","display_name":"Heuristics","score":0.6161410212516785},{"id":"https://openalex.org/keywords/semi-structured-model","display_name":"Semi-structured model","score":0.5710687637329102},{"id":"https://openalex.org/keywords/xml-schema-editor","display_name":"XML Schema Editor","score":0.5182190537452698},{"id":"https://openalex.org/keywords/relational-database","display_name":"Relational database","score":0.5024371147155762},{"id":"https://openalex.org/keywords/document-structure-description","display_name":"Document Structure Description","score":0.5019321441650391},{"id":"https://openalex.org/keywords/relax-ng","display_name":"RELAX NG","score":0.4826131761074066},{"id":"https://openalex.org/keywords/schema","display_name":"Schema (genetic algorithms)","score":0.42337051033973694},{"id":"https://openalex.org/keywords/xml","display_name":"XML","score":0.40785911679267883},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.38957488536834717},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3881896436214447},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3470384180545807},{"id":"https://openalex.org/keywords/database-model","display_name":"Database model","score":0.2368825376033783},{"id":"https://openalex.org/keywords/xml-encryption","display_name":"XML Encryption","score":0.07307553291320801}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8310240507125854},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.6161410212516785},{"id":"https://openalex.org/C56310702","wikidata":"https://www.wikidata.org/wiki/Q2269281","display_name":"Semi-structured model","level":4,"score":0.5710687637329102},{"id":"https://openalex.org/C34716815","wikidata":"https://www.wikidata.org/wiki/Q8042322","display_name":"XML Schema Editor","level":3,"score":0.5182190537452698},{"id":"https://openalex.org/C5655090","wikidata":"https://www.wikidata.org/wiki/Q192588","display_name":"Relational database","level":2,"score":0.5024371147155762},{"id":"https://openalex.org/C68699486","wikidata":"https://www.wikidata.org/wiki/Q265904","display_name":"Document Structure Description","level":3,"score":0.5019321441650391},{"id":"https://openalex.org/C44540991","wikidata":"https://www.wikidata.org/wiki/Q1314117","display_name":"RELAX NG","level":5,"score":0.4826131761074066},{"id":"https://openalex.org/C52146309","wikidata":"https://www.wikidata.org/wiki/Q7431116","display_name":"Schema (genetic algorithms)","level":2,"score":0.42337051033973694},{"id":"https://openalex.org/C8797682","wikidata":"https://www.wikidata.org/wiki/Q2115","display_name":"XML","level":2,"score":0.40785911679267883},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.38957488536834717},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3881896436214447},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3470384180545807},{"id":"https://openalex.org/C5968703","wikidata":"https://www.wikidata.org/wiki/Q267136","display_name":"Database model","level":3,"score":0.2368825376033783},{"id":"https://openalex.org/C173242113","wikidata":"https://www.wikidata.org/wiki/Q607488","display_name":"XML Encryption","level":4,"score":0.07307553291320801},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dasfaa.2003.1192399","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dasfaa.2003.1192399","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Eighth International Conference on Database Systems for Advanced Applications, 2003. (DASFAA 2003). Proceedings.","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":21,"referenced_works":["https://openalex.org/W1507976212","https://openalex.org/W1585638153","https://openalex.org/W1922703629","https://openalex.org/W1995213245","https://openalex.org/W2022637272","https://openalex.org/W2023695725","https://openalex.org/W2030087828","https://openalex.org/W2104476081","https://openalex.org/W2108014443","https://openalex.org/W2132560950","https://openalex.org/W2137420916","https://openalex.org/W2161938331","https://openalex.org/W2165286227","https://openalex.org/W2264161432","https://openalex.org/W4233419801","https://openalex.org/W6630367307","https://openalex.org/W6635062575","https://openalex.org/W6656325769","https://openalex.org/W6679745300","https://openalex.org/W6683933363","https://openalex.org/W6684721968"],"related_works":["https://openalex.org/W2741557349","https://openalex.org/W2360460831","https://openalex.org/W2376320957","https://openalex.org/W2365618413","https://openalex.org/W2364500747","https://openalex.org/W1634101829","https://openalex.org/W2356146920","https://openalex.org/W2380511589","https://openalex.org/W106013027","https://openalex.org/W2070347369"],"abstract_inverted_index":{"Various":[0],"models":[1],"and":[2,31,71],"approaches":[3,18,121],"have":[4],"been":[5],"proposed":[6,89,106],"for":[7,22],"mapping":[8,120],"XML":[9,24,69],"data":[10,70],"into":[11],"relational":[12,20,64],"tables":[13],"recently.":[14],"Most":[15],"of":[16,77,94],"those":[17,118],"produce":[19],"schema":[21,41,65,112],"given":[23,68],"data,":[25],"based":[26,84],"on":[27,85],"pre-defined":[28],"rules,":[29],"heuristics,":[30],"user":[32],"specifications,":[33],"without":[34],"considering":[35],"workload":[36],"As":[37],"the":[38,40,75,101,105,110,124],"result,":[39],"obtained":[42],"is":[43,88],"often":[44],"not":[45],"optimal":[46],"with":[47,91],"respect":[48],"to":[49,60],"query":[50],"performance.":[51],"In":[52],"this":[53],"paper,":[54],"we":[55],"present":[56],"a":[57,62,67,92],"cost-driven":[58],"approach":[59],"generate":[61],"near-optimal":[63],"fir":[66],"expected":[72],"workload,":[73],"in":[74,123],"presence":[76],"space":[78],"constraint.":[79],"An":[80],"efficient":[81],"heuristic":[82],"algorithm":[83],"Hill":[86],"Climbing":[87],"together":[90],"set":[93],"state":[95],"transformation":[96],"operations.":[97],"Experimental":[98],"study":[99],"using":[100],"prototype":[102],"system":[103],"implementing":[104],"algorithm,":[107],"indicates":[108],"that":[109],"produced":[111],"can":[113],"provide":[114],"better":[115],"performance":[116],"than":[117],"well-known":[119],"published":[122],"literature.":[125]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-03-26T15:22:09.906841","created_date":"2025-10-10T00:00:00"}
