{"id":"https://openalex.org/W2767351148","doi":"https://doi.org/10.1145/3132847.3132887","title":"UFeed","display_name":"UFeed","publication_year":2017,"publication_date":"2017-11-06","ids":{"openalex":"https://openalex.org/W2767351148","doi":"https://doi.org/10.1145/3132847.3132887","mag":"2767351148"},"language":"en","primary_location":{"id":"doi:10.1145/3132847.3132887","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3132847.3132887","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2017 ACM on Conference on Information and Knowledge Management","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/A5038522506","display_name":"Ahmed El-Roby","orcid":"https://orcid.org/0000-0003-0737-3400"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Ahmed El-Roby","raw_affiliation_strings":["University of Waterloo, Waterloo, ON, Canada"],"affiliations":[{"raw_affiliation_string":"University of Waterloo, Waterloo, ON, Canada","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000416532","display_name":"Ashraf Aboulnaga","orcid":"https://orcid.org/0000-0001-6693-7099"},"institutions":[{"id":"https://openalex.org/I1301390666","display_name":"Qatar Airways (Qatar)","ror":"https://ror.org/01hx00y13","country_code":"QA","type":"company","lineage":["https://openalex.org/I1301390666"]}],"countries":["QA"],"is_corresponding":false,"raw_author_name":"Ashraf Aboulnaga","raw_affiliation_strings":["Qatar Computing Research Institute, Doha, Qatar"],"affiliations":[{"raw_affiliation_string":"Qatar Computing Research Institute, Doha, Qatar","institution_ids":["https://openalex.org/I1301390666"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5038522506"],"corresponding_institution_ids":["https://openalex.org/I151746483"],"apc_list":null,"apc_paid":null,"fwci":0.195,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.6330277,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"187","last_page":"196"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.9997000098228455,"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/T10679","display_name":"Service-Oriented Architecture and Web Services","score":0.9987999796867371,"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"}},{"id":"https://openalex.org/T10317","display_name":"Advanced Database Systems and Queries","score":0.998199999332428,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8560997247695923},{"id":"https://openalex.org/keywords/schema","display_name":"Schema (genetic algorithms)","score":0.7084084153175354},{"id":"https://openalex.org/keywords/data-integration","display_name":"Data integration","score":0.6170352101325989},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5734724402427673},{"id":"https://openalex.org/keywords/semi-structured-model","display_name":"Semi-structured model","score":0.5209604501724243},{"id":"https://openalex.org/keywords/database-schema","display_name":"Database schema","score":0.47967052459716797},{"id":"https://openalex.org/keywords/schema-matching","display_name":"Schema matching","score":0.4701635539531708},{"id":"https://openalex.org/keywords/star-schema","display_name":"Star schema","score":0.4641370177268982},{"id":"https://openalex.org/keywords/information-schema","display_name":"Information schema","score":0.4531956911087036},{"id":"https://openalex.org/keywords/relational-database","display_name":"Relational database","score":0.4136478304862976},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3999890089035034},{"id":"https://openalex.org/keywords/database-design","display_name":"Database design","score":0.11030155420303345}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8560997247695923},{"id":"https://openalex.org/C52146309","wikidata":"https://www.wikidata.org/wiki/Q7431116","display_name":"Schema (genetic algorithms)","level":2,"score":0.7084084153175354},{"id":"https://openalex.org/C72634772","wikidata":"https://www.wikidata.org/wiki/Q386824","display_name":"Data integration","level":2,"score":0.6170352101325989},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5734724402427673},{"id":"https://openalex.org/C56310702","wikidata":"https://www.wikidata.org/wiki/Q2269281","display_name":"Semi-structured model","level":4,"score":0.5209604501724243},{"id":"https://openalex.org/C30775581","wikidata":"https://www.wikidata.org/wiki/Q632285","display_name":"Database schema","level":3,"score":0.47967052459716797},{"id":"https://openalex.org/C2777327318","wikidata":"https://www.wikidata.org/wiki/Q1408390","display_name":"Schema matching","level":3,"score":0.4701635539531708},{"id":"https://openalex.org/C190703929","wikidata":"https://www.wikidata.org/wiki/Q1331138","display_name":"Star schema","level":4,"score":0.4641370177268982},{"id":"https://openalex.org/C150012506","wikidata":"https://www.wikidata.org/wiki/Q6031185","display_name":"Information schema","level":5,"score":0.4531956911087036},{"id":"https://openalex.org/C5655090","wikidata":"https://www.wikidata.org/wiki/Q192588","display_name":"Relational database","level":2,"score":0.4136478304862976},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3999890089035034},{"id":"https://openalex.org/C148840519","wikidata":"https://www.wikidata.org/wiki/Q1049878","display_name":"Database design","level":2,"score":0.11030155420303345}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3132847.3132887","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3132847.3132887","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2017 ACM on Conference on Information and Knowledge Management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.5899999737739563}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W65102496","https://openalex.org/W1499427961","https://openalex.org/W1651093245","https://openalex.org/W1875032969","https://openalex.org/W1899648442","https://openalex.org/W1965492961","https://openalex.org/W2008896880","https://openalex.org/W2035168844","https://openalex.org/W2050789550","https://openalex.org/W2053653724","https://openalex.org/W2055515830","https://openalex.org/W2059268928","https://openalex.org/W2069897123","https://openalex.org/W2073287065","https://openalex.org/W2096454106","https://openalex.org/W2101827111","https://openalex.org/W2107966677","https://openalex.org/W2108223890","https://openalex.org/W2116469285","https://openalex.org/W2122483056","https://openalex.org/W2123885506","https://openalex.org/W2127753549","https://openalex.org/W2134755874","https://openalex.org/W2135767707","https://openalex.org/W2151604269","https://openalex.org/W2153508518","https://openalex.org/W2157631542","https://openalex.org/W2160997301","https://openalex.org/W2171262729","https://openalex.org/W2406114359","https://openalex.org/W2553339273"],"related_works":["https://openalex.org/W2103472145","https://openalex.org/W2092058806","https://openalex.org/W166845585","https://openalex.org/W1513459549","https://openalex.org/W1985081702","https://openalex.org/W1992271858","https://openalex.org/W1512552654","https://openalex.org/W945629821","https://openalex.org/W2766698234","https://openalex.org/W3030019037"],"abstract_inverted_index":{"One":[0],"of":[1,151],"the":[2,53,60,68,77,88,134,149,161],"main":[3],"challenges":[4],"in":[5],"large-scale":[6],"data":[7,25,57,89,157],"integration":[8],"for":[9],"relational":[10,111],"schemas":[11,113],"is":[12,49,82],"creating":[13],"an":[14,84],"accurate":[15,20,38],"mediated":[16,29,39,61,78,112,135],"schema,":[17],"and":[18,27,41,43,63,80,94,97,114,137],"generating":[19],"semantic":[21],"mappings":[22,42,64,81,115,138],"between":[23],"heterogeneous":[24,93,156],"sources":[26,90,158],"this":[28,102],"schema.":[30],"Some":[31],"applications":[32],"can":[33],"start":[34],"with":[35],"a":[36,107],"moderately":[37],"schema":[40,62,79,136],"refine":[44],"them":[45],"over":[46,120,154],"time,":[47],"which":[48],"referred":[50],"to":[51,56,66,133,139],"as":[52],"pay-as-you-go":[54,69],"approach":[55,70],"integration.":[58],"Creating":[59],"automatically":[65],"bootstrap":[67],"has":[71],"been":[72],"extensively":[73],"studied.":[74],"However,":[75],"refining":[76],"still":[83],"open":[85],"challenge":[86],"because":[87],"are":[91,131],"usually":[92],"use":[95],"diverse":[96],"sometimes":[98],"ambiguous":[99],"vocabularies.":[100],"In":[101],"paper,":[103],"we":[104],"introduce":[105],"UFeed,":[106],"system":[108],"that":[109,130,146],"refines":[110],"based":[116],"on":[117],"user":[118,125],"feedback":[119],"query":[121,152],"answers.":[122],"UFeed":[123,147],"translates":[124],"actions":[126],"into":[127],"refinement":[128],"operations":[129],"applied":[132],"improve":[140],"their":[141],"quality.":[142],"We":[143],"experimentally":[144],"verify":[145],"improves":[148],"quality":[150],"answers":[153],"real":[155],"extracted":[159],"from":[160],"web.":[162]},"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2017-11-17T00:00:00"}