{"id":"https://openalex.org/W2950748439","doi":"https://doi.org/10.14778/3275366.3275369","title":"Interactive summarization and exploration of top aggregate query answers","display_name":"Interactive summarization and exploration of top aggregate query answers","publication_year":2018,"publication_date":"2018-09-01","ids":{"openalex":"https://openalex.org/W2950748439","doi":"https://doi.org/10.14778/3275366.3275369","mag":"2950748439"},"language":"en","primary_location":{"id":"doi:10.14778/3275366.3275369","is_oa":false,"landing_page_url":"https://doi.org/10.14778/3275366.3275369","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/A5003705537","display_name":"Yuhao Wen","orcid":"https://orcid.org/0000-0001-8510-1131"},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yuhao Wen","raw_affiliation_strings":["Duke University"],"affiliations":[{"raw_affiliation_string":"Duke University","institution_ids":["https://openalex.org/I170897317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016892586","display_name":"Xiaodan Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaodan Zhu","raw_affiliation_strings":["Duke University"],"affiliations":[{"raw_affiliation_string":"Duke University","institution_ids":["https://openalex.org/I170897317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110322079","display_name":"Sudeepa Roy","orcid":null},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sudeepa Roy","raw_affiliation_strings":["Duke University"],"affiliations":[{"raw_affiliation_string":"Duke University","institution_ids":["https://openalex.org/I170897317"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101801967","display_name":"Jun Yang","orcid":"https://orcid.org/0000-0002-4901-8530"},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jun Yang","raw_affiliation_strings":["Duke University"],"affiliations":[{"raw_affiliation_string":"Duke University","institution_ids":["https://openalex.org/I170897317"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5003705537"],"corresponding_institution_ids":["https://openalex.org/I170897317"],"apc_list":null,"apc_paid":null,"fwci":0.3303,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.60186965,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"11","issue":"13","first_page":"2196","last_page":"2208"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9994000196456909,"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"}},"topics":[{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9994000196456909,"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/T11269","display_name":"Algorithms and Data Compression","score":0.9965999722480774,"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/T10317","display_name":"Advanced Database Systems and Queries","score":0.9961000084877014,"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":0.815729022026062},{"id":"https://openalex.org/keywords/automatic-summarization","display_name":"Automatic summarization","score":0.8094450831413269},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6847125887870789},{"id":"https://openalex.org/keywords/aggregate","display_name":"Aggregate (composite)","score":0.6515880823135376},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.6391898989677429},{"id":"https://openalex.org/keywords/usability","display_name":"Usability","score":0.5969462990760803},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5416725873947144},{"id":"https://openalex.org/keywords/result-set","display_name":"Result set","score":0.4746066927909851},{"id":"https://openalex.org/keywords/web-search-query","display_name":"Web search query","score":0.4161933660507202},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37783095240592957},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.34089523553848267},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.21785256266593933},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.20000991225242615},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.08130034804344177}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.815729022026062},{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.8094450831413269},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6847125887870789},{"id":"https://openalex.org/C4679612","wikidata":"https://www.wikidata.org/wiki/Q866298","display_name":"Aggregate (composite)","level":2,"score":0.6515880823135376},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.6391898989677429},{"id":"https://openalex.org/C170130773","wikidata":"https://www.wikidata.org/wiki/Q216378","display_name":"Usability","level":2,"score":0.5969462990760803},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5416725873947144},{"id":"https://openalex.org/C4969071","wikidata":"https://www.wikidata.org/wiki/Q7316353","display_name":"Result set","level":3,"score":0.4746066927909851},{"id":"https://openalex.org/C164120249","wikidata":"https://www.wikidata.org/wiki/Q995982","display_name":"Web search query","level":3,"score":0.4161933660507202},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37783095240592957},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.34089523553848267},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.21785256266593933},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.20000991225242615},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.08130034804344177},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.14778/3275366.3275369","is_oa":false,"landing_page_url":"https://doi.org/10.14778/3275366.3275369","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"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2340295440","https://openalex.org/W2056360909","https://openalex.org/W2103552971","https://openalex.org/W2105501857","https://openalex.org/W2744669951","https://openalex.org/W1805532631","https://openalex.org/W4301666339","https://openalex.org/W1552545081","https://openalex.org/W2185469678","https://openalex.org/W1968858501"],"abstract_inverted_index":{"We":[0,112,141],"present":[1],"a":[2,16,30,59,151],"system":[3,28,73],"for":[4,90],"summarization":[5],"and":[6,57,103,131,135,146],"interactive":[7,75,158],"exploration":[8,76],"of":[9,19,32,62,77,88,121,169],"high-valued":[10,36],"aggregate":[11],"query":[12,37,79],"answers":[13,21,38,65,80],"to":[14,24,53,137,165],"make":[15],"large":[17],"set":[18,31],"possible":[20,52],"more":[22],"informative":[23],"the":[25,35,45,69,72,78,83,94,99,122,125,129,167],"user.":[26,70],"Our":[27],"outputs":[29],"clusters":[33,46,95],"on":[34,128],"showing":[39],"their":[40,117],"common":[41],"properties":[42,120],"such":[43],"that":[44,155],"are":[47],"diverse":[48],"as":[49,51,66,96,98],"much":[50],"avoid":[54],"repeating":[55],"information,":[56],"cover":[58],"certain":[60],"number":[61],"top":[63],"original":[64],"indicated":[67],"by":[68,81],"Further,":[71],"facilitates":[74,156],"helping":[82],"user":[84,153,161],"(i)":[85],"choose":[86],"combinations":[87],"parameters":[89,109],"clustering,":[91],"(ii)":[92],"inspect":[93],"well":[97],"elements":[100],"they":[101],"contain,":[102],"(iii)":[104],"visualize":[105],"how":[106],"changes":[107],"in":[108],"affect":[110],"clustering.":[111],"define":[113],"optimization":[114],"problems,":[115],"study":[116,162],"complexity,":[118],"explore":[119],"solutions":[123],"investigating":[124],"semi-lattice":[126],"structure":[127],"clusters,":[130],"propose":[132],"efficient":[133],"algorithms":[134],"optimizations":[136],"achieve":[138],"these":[139],"goals.":[140],"evaluate":[142,166],"our":[143,148,170],"techniques":[144],"experimentally":[145],"discuss":[147],"prototype":[149],"with":[150],"graphical":[152],"interface":[154],"this":[157],"exploration.":[159],"A":[160],"is":[163],"conducted":[164],"usability":[168],"approach.":[171]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
