{"id":"https://openalex.org/W2909237748","doi":"https://doi.org/10.1145/3290688.3290713","title":"Query log streams based incremental schema matching","display_name":"Query log streams based incremental schema matching","publication_year":2019,"publication_date":"2019-01-14","ids":{"openalex":"https://openalex.org/W2909237748","doi":"https://doi.org/10.1145/3290688.3290713","mag":"2909237748"},"language":"en","primary_location":{"id":"doi:10.1145/3290688.3290713","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3290688.3290713","pdf_url":null,"source":{"id":"https://openalex.org/S4306524001","display_name":"Proceedings of the Australasian Computer Science Week Multiconference","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Australasian Computer Science Week Multiconference","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/A5023025930","display_name":"Kuldeep Reddy","orcid":"https://orcid.org/0000-0002-4375-0667"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Kuldeep Reddy","raw_affiliation_strings":["Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5023025930"],"corresponding_institution_ids":["https://openalex.org/I76569877"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.01140182,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"946","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10317","display_name":"Advanced Database Systems and Queries","score":0.9988999962806702,"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":0.9988999962806702,"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":0.9975000023841858,"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/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":0.7631762027740479},{"id":"https://openalex.org/keywords/schema","display_name":"Schema (genetic algorithms)","score":0.619022011756897},{"id":"https://openalex.org/keywords/schema-matching","display_name":"Schema matching","score":0.5282805562019348},{"id":"https://openalex.org/keywords/streams","display_name":"STREAMS","score":0.47626110911369324},{"id":"https://openalex.org/keywords/schema-evolution","display_name":"Schema evolution","score":0.46421101689338684},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4628758728504181},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.4206565320491791},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35653311014175415},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.2793104648590088},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.14466586709022522},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12604793906211853},{"id":"https://openalex.org/keywords/database-schema","display_name":"Database schema","score":0.09099853038787842},{"id":"https://openalex.org/keywords/data-integration","display_name":"Data integration","score":0.07777133584022522},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.056423187255859375}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7631762027740479},{"id":"https://openalex.org/C52146309","wikidata":"https://www.wikidata.org/wiki/Q7431116","display_name":"Schema (genetic algorithms)","level":2,"score":0.619022011756897},{"id":"https://openalex.org/C2777327318","wikidata":"https://www.wikidata.org/wiki/Q1408390","display_name":"Schema matching","level":3,"score":0.5282805562019348},{"id":"https://openalex.org/C42090638","wikidata":"https://www.wikidata.org/wiki/Q4048907","display_name":"STREAMS","level":2,"score":0.47626110911369324},{"id":"https://openalex.org/C2780660560","wikidata":"https://www.wikidata.org/wiki/Q3951893","display_name":"Schema evolution","level":4,"score":0.46421101689338684},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4628758728504181},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.4206565320491791},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35653311014175415},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.2793104648590088},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.14466586709022522},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12604793906211853},{"id":"https://openalex.org/C30775581","wikidata":"https://www.wikidata.org/wiki/Q632285","display_name":"Database schema","level":3,"score":0.09099853038787842},{"id":"https://openalex.org/C72634772","wikidata":"https://www.wikidata.org/wiki/Q386824","display_name":"Data integration","level":2,"score":0.07777133584022522},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.056423187255859375},{"id":"https://openalex.org/C148840519","wikidata":"https://www.wikidata.org/wiki/Q1049878","display_name":"Database design","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3290688.3290713","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3290688.3290713","pdf_url":null,"source":{"id":"https://openalex.org/S4306524001","display_name":"Proceedings of the Australasian Computer Science Week Multiconference","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Australasian Computer Science Week Multiconference","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":9,"referenced_works":["https://openalex.org/W72199478","https://openalex.org/W1678909795","https://openalex.org/W1982411293","https://openalex.org/W2074876483","https://openalex.org/W2105528496","https://openalex.org/W2136530502","https://openalex.org/W2264899759","https://openalex.org/W2461102678","https://openalex.org/W2506160699"],"related_works":["https://openalex.org/W4293083682","https://openalex.org/W1528218860","https://openalex.org/W2125859764","https://openalex.org/W1545286006","https://openalex.org/W3038511590","https://openalex.org/W4251303485","https://openalex.org/W2029826694","https://openalex.org/W2133646318","https://openalex.org/W2406112091","https://openalex.org/W2014400548"],"abstract_inverted_index":{"This":[0,28],"paper":[1,29,103,142],"proposes":[2,30],"an":[3],"idea":[4],"for":[5],"a":[6,31,81,144],"query":[7],"log":[8],"streams":[9],"based":[10],"incremental":[11,69,131],"schema":[12,53,63,70,83,122],"matching":[13,26,71,84],"system.":[14],"Existing":[15],"techniques":[16],"include":[17],"utilizing":[18],"the":[19,23,35,41,47,75,94,97,105,109,153],"usage":[20,49,55,65,118,124,129],"information":[21,66],"of":[22,34,46,59,99,111,117,137],"attributes":[24,48,54,64,123,128],"in":[25,130,140,155],"schemas.":[27],"further":[32],"advancement":[33],"technique":[36,110],"by":[37,86],"taking":[38],"into":[39],"consideration":[40],"constant":[42,113],"and":[43,51,61,114,120,126],"bursty":[44,115],"nature":[45],"patterns":[50,116],"predicting":[52,121],"frequency":[56,125],"-":[57],"frequent":[58],"infrequent":[60],"new":[62,127],"to":[67,79,93,107,152],"perform":[68],"tasks":[72],"so":[73],"that":[74],"system":[76],"is":[77,90],"able":[78],"provide":[80],"better":[82],"result":[85],"performing":[87],"integration":[88,133],"which":[89],"more":[91,149],"relevant":[92],"user.":[95],"To":[96],"best":[98],"our":[100],"knowledge,":[101],"this":[102,141],"represents":[104,143],"first":[106],"propose":[108],"leveraging":[112],"data":[119,132],"tasks.":[134],"The":[135],"details":[136],"solution":[138,151],"presented":[139],"first-cut":[145],"work-in-progress":[146],"approach,":[147],"developing":[148],"comprehensive":[150],"problem":[154],"ongoing":[156],"future":[157],"work.":[158]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}