{"id":"https://openalex.org/W2234518019","doi":"https://doi.org/10.1142/s0219622015500418","title":"Developing a Provenance Warehouse for the Systematic Brain Informatics Study","display_name":"Developing a Provenance Warehouse for the Systematic Brain Informatics Study","publication_year":2015,"publication_date":"2015-11-23","ids":{"openalex":"https://openalex.org/W2234518019","doi":"https://doi.org/10.1142/s0219622015500418","mag":"2234518019"},"language":"en","primary_location":{"id":"doi:10.1142/s0219622015500418","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219622015500418","pdf_url":null,"source":{"id":"https://openalex.org/S207089700","display_name":"International Journal of Information Technology & Decision Making","issn_l":"0219-6220","issn":["0219-6220","1793-6845"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Information Technology &amp; Decision Making","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/A5100765306","display_name":"Jianhui Chen","orcid":"https://orcid.org/0000-0001-6501-9819"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jianhui Chen","raw_affiliation_strings":["International WIC Institute, Beijing University of Technology, Beijing 100124, P. R. China"],"affiliations":[{"raw_affiliation_string":"International WIC Institute, Beijing University of Technology, Beijing 100124, P. R. China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022096691","display_name":"Ning Zhong","orcid":"https://orcid.org/0000-0001-7882-8340"},"institutions":[{"id":"https://openalex.org/I153470267","display_name":"Maebashi Institute of Technology","ror":"https://ror.org/01x05rm94","country_code":"JP","type":"education","lineage":["https://openalex.org/I153470267"]},{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN","JP"],"is_corresponding":false,"raw_author_name":"Ning Zhong","raw_affiliation_strings":["Department of Life Science and Informatics, Maebashi Institute of Technology, Maebashi-City 371-0816, Japan","International WIC Institute, Beijing University of Technology, Beijing 100124, P. R. China"],"affiliations":[{"raw_affiliation_string":"Department of Life Science and Informatics, Maebashi Institute of Technology, Maebashi-City 371-0816, Japan","institution_ids":["https://openalex.org/I153470267"]},{"raw_affiliation_string":"International WIC Institute, Beijing University of Technology, Beijing 100124, P. R. China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"last","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":["Department of Computer Science and Technology, Tsinghua University, Beijing 100084, P. R. China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tsinghua University, Beijing 100084, P. R. China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100765306"],"corresponding_institution_ids":["https://openalex.org/I37796252"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.10980684,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"16","issue":"06","first_page":"1581","last_page":"1609"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10241","display_name":"Functional Brain Connectivity Studies","score":0.9879999756813049,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10241","display_name":"Functional Brain Connectivity Studies","score":0.9879999756813049,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11986","display_name":"Scientific Computing and Data Management","score":0.9847999811172485,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9557999968528748,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/data-warehouse","display_name":"Data warehouse","score":0.8002055883407593},{"id":"https://openalex.org/keywords/online-analytical-processing","display_name":"Online analytical processing","score":0.7697550058364868},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.761846661567688},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.64436936378479},{"id":"https://openalex.org/keywords/raw-data","display_name":"Raw data","score":0.591014564037323},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.5882385969161987},{"id":"https://openalex.org/keywords/nosql","display_name":"NoSQL","score":0.5594743490219116},{"id":"https://openalex.org/keywords/provenance","display_name":"Provenance","score":0.5157113671302795},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.44704368710517883},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4315556585788727},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4297294318675995},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38810065388679504}],"concepts":[{"id":"https://openalex.org/C135572916","wikidata":"https://www.wikidata.org/wiki/Q193351","display_name":"Data warehouse","level":2,"score":0.8002055883407593},{"id":"https://openalex.org/C201932085","wikidata":"https://www.wikidata.org/wiki/Q642514","display_name":"Online analytical processing","level":3,"score":0.7697550058364868},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.761846661567688},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.64436936378479},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.591014564037323},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.5882385969161987},{"id":"https://openalex.org/C2779599972","wikidata":"https://www.wikidata.org/wiki/Q82231","display_name":"NoSQL","level":3,"score":0.5594743490219116},{"id":"https://openalex.org/C2780049196","wikidata":"https://www.wikidata.org/wiki/Q23582628","display_name":"Provenance","level":2,"score":0.5157113671302795},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.44704368710517883},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4315556585788727},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4297294318675995},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38810065388679504},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C5900021","wikidata":"https://www.wikidata.org/wiki/Q163082","display_name":"Petrology","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1142/s0219622015500418","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219622015500418","pdf_url":null,"source":{"id":"https://openalex.org/S207089700","display_name":"International Journal of Information Technology & Decision Making","issn_l":"0219-6220","issn":["0219-6220","1793-6845"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Information Technology &amp; Decision Making","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:wsi:ijitdm:v:16:y:2017:i:06:n:s0219622015500418","is_oa":false,"landing_page_url":"http://www.worldscientific.com/doi/abs/10.1142/S0219622015500418","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5099999904632568,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W84515857","https://openalex.org/W307418488","https://openalex.org/W332208005","https://openalex.org/W426632960","https://openalex.org/W588835304","https://openalex.org/W1487060125","https://openalex.org/W1552071731","https://openalex.org/W1855133425","https://openalex.org/W1970085768","https://openalex.org/W1976507515","https://openalex.org/W1982212058","https://openalex.org/W1982600306","https://openalex.org/W1989477529","https://openalex.org/W1993785488","https://openalex.org/W1994326726","https://openalex.org/W2003582731","https://openalex.org/W2008261273","https://openalex.org/W2009405958","https://openalex.org/W2013030736","https://openalex.org/W2034216129","https://openalex.org/W2036683416","https://openalex.org/W2048162241","https://openalex.org/W2063764042","https://openalex.org/W2073753943","https://openalex.org/W2077310333","https://openalex.org/W2089596781","https://openalex.org/W2091940856","https://openalex.org/W2103017472","https://openalex.org/W2110451601","https://openalex.org/W2122443536","https://openalex.org/W2124318001","https://openalex.org/W2139452609","https://openalex.org/W2242459625","https://openalex.org/W2294717806","https://openalex.org/W3192290435"],"related_works":["https://openalex.org/W2381748642","https://openalex.org/W2946976120","https://openalex.org/W3166849343","https://openalex.org/W2029761735","https://openalex.org/W4232616931","https://openalex.org/W2923772254","https://openalex.org/W2810193297","https://openalex.org/W2740937960","https://openalex.org/W4233433221","https://openalex.org/W1974135807"],"abstract_inverted_index":{"Aiming":[0],"at":[1],"the":[2,24,31,38,57,78,123],"unstructured":[3],"brain":[4,17,124,141],"data":[5,21,29,50,79,126,143,145],"and":[6,18,51,64,68,81,97,134,147],"data-driven":[7],"research":[8],"process,":[9],"provenances":[10,133],"have":[11],"become":[12],"an":[13],"important":[14],"component":[15],"of":[16,26,71,140],"health":[19],"big":[20,125,142],"rather":[22],"than":[23],"accessory":[25],"raw":[27,130],"experimental":[28,131],"in":[30,56],"systematic":[32,58],"Brain":[33],"Informatics":[34],"(BI)":[35],"study.":[36],"However,":[37],"existing":[39],"file-based":[40],"or":[41,54],"transaction-database-based":[42],"provenance":[43,66,92,95,114],"queries":[44],"cannot":[45],"effectively":[46],"support":[47],"quickly":[48],"understanding":[49],"generating":[52],"decisions":[53],"suppositions":[55],"BI":[59,91,113],"study,":[60],"which":[61,128],"need":[62],"multi-aspect":[63],"multi-granularity":[65],"information":[67],"a":[69,90,112,117],"process":[70],"incremental":[72],"modification.":[73],"Inspired":[74],"by":[75],"studies":[76],"on":[77],"warehouse":[80,115],"online":[82],"analytical":[83],"processing":[84],"(OLAP)":[85],"technology,":[86],"this":[87],"paper":[88],"proposes":[89],"warehouse.":[93],"The":[94],"cube":[96],"basic":[98],"OLAP":[99],"operations":[100],"are":[101],"defined.":[102],"A":[103],"complete":[104],"Data-Brain-based":[105],"development":[106],"approach":[107],"is":[108],"also":[109],"designed.":[110],"Such":[111],"represents":[116],"radically":[118],"new":[119],"way":[120],"for":[121,144],"developing":[122],"center,":[127],"regards":[129],"data,":[132],"domain":[135],"ontologies":[136],"as":[137],"different":[138],"levels":[139],"sharing":[146],"mining.":[148]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
