{"id":"https://openalex.org/W2949053898","doi":"https://doi.org/10.1145/3299869.3319890","title":"Answering Why-questions by Exemplars in Attributed Graphs","display_name":"Answering Why-questions by Exemplars in Attributed Graphs","publication_year":2019,"publication_date":"2019-06-18","ids":{"openalex":"https://openalex.org/W2949053898","doi":"https://doi.org/10.1145/3299869.3319890","mag":"2949053898"},"language":"en","primary_location":{"id":"doi:10.1145/3299869.3319890","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3299869.3319890","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3299869.3319890","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 International Conference on Management of Data","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3299869.3319890","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5059246158","display_name":"Mohammad Hossein Namaki","orcid":"https://orcid.org/0000-0002-5589-7818"},"institutions":[{"id":"https://openalex.org/I72951846","display_name":"Washington State University","ror":"https://ror.org/05dk0ce17","country_code":"US","type":"education","lineage":["https://openalex.org/I72951846"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Mohammad Hossein Namaki","raw_affiliation_strings":["Washington State University, Pullman, WA, USA"],"affiliations":[{"raw_affiliation_string":"Washington State University, Pullman, WA, USA","institution_ids":["https://openalex.org/I72951846"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100748969","display_name":"Qi Song","orcid":"https://orcid.org/0000-0002-1726-7858"},"institutions":[{"id":"https://openalex.org/I72951846","display_name":"Washington State University","ror":"https://ror.org/05dk0ce17","country_code":"US","type":"education","lineage":["https://openalex.org/I72951846"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qi Song","raw_affiliation_strings":["Washington State University, Pullman, WA, USA"],"affiliations":[{"raw_affiliation_string":"Washington State University, Pullman, WA, USA","institution_ids":["https://openalex.org/I72951846"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071093153","display_name":"Yinghui Wu","orcid":"https://orcid.org/0000-0003-3991-5155"},"institutions":[{"id":"https://openalex.org/I72951846","display_name":"Washington State University","ror":"https://ror.org/05dk0ce17","country_code":"US","type":"education","lineage":["https://openalex.org/I72951846"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yinghui Wu","raw_affiliation_strings":["Washington State University, Pullman, WA, USA"],"affiliations":[{"raw_affiliation_string":"Washington State University, Pullman, WA, USA","institution_ids":["https://openalex.org/I72951846"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075362627","display_name":"Shengqi Yang","orcid":"https://orcid.org/0000-0002-0782-9116"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shengqi Yang","raw_affiliation_strings":["WeWork Technology, Palo Alto, CA, USA"],"affiliations":[{"raw_affiliation_string":"WeWork Technology, Palo Alto, CA, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5059246158"],"corresponding_institution_ids":["https://openalex.org/I72951846"],"apc_list":null,"apc_paid":null,"fwci":7.7013,"has_fulltext":true,"cited_by_count":22,"citation_normalized_percentile":{"value":0.97516786,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1481","last_page":"1498"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11986","display_name":"Scientific Computing and Data Management","score":0.9979000091552734,"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"}},"topics":[{"id":"https://openalex.org/T11986","display_name":"Scientific Computing and Data Management","score":0.9979000091552734,"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/T11106","display_name":"Data Management and Algorithms","score":0.9958999752998352,"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/T12292","display_name":"Graph Theory and Algorithms","score":0.9955999851226807,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/closeness","display_name":"Closeness","score":0.8397477865219116},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7312017679214478},{"id":"https://openalex.org/keywords/star","display_name":"Star (game theory)","score":0.5778182744979858},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5392481088638306},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.5304374694824219},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.45411112904548645},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.25101837515830994},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1798904836177826}],"concepts":[{"id":"https://openalex.org/C2779545769","wikidata":"https://www.wikidata.org/wiki/Q5135364","display_name":"Closeness","level":2,"score":0.8397477865219116},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7312017679214478},{"id":"https://openalex.org/C2780897414","wikidata":"https://www.wikidata.org/wiki/Q7600592","display_name":"Star (game theory)","level":2,"score":0.5778182744979858},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5392481088638306},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5304374694824219},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.45411112904548645},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.25101837515830994},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1798904836177826},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3299869.3319890","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3299869.3319890","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3299869.3319890","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 International Conference on Management of Data","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3299869.3319890","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3299869.3319890","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3299869.3319890","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 International Conference on Management of Data","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.7400000095367432,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G3084462142","display_name":null,"funder_award_id":"2018-67007-28797","funder_id":"https://openalex.org/F4320332605","funder_display_name":"Agricultural Research Service"},{"id":"https://openalex.org/G6760673560","display_name":null,"funder_award_id":"DE-IA0000025","funder_id":"https://openalex.org/F4320337674","funder_display_name":"Wind Energy Technologies Office"},{"id":"https://openalex.org/G8294157260","display_name":null,"funder_award_id":"2018-67007-28797","funder_id":"https://openalex.org/F4320332299","funder_display_name":"National Institute of Food and Agriculture"}],"funders":[{"id":"https://openalex.org/F4320307782","display_name":"Siemens USA","ror":"https://ror.org/04axb7e79"},{"id":"https://openalex.org/F4320332299","display_name":"National Institute of Food and Agriculture","ror":"https://ror.org/05qx3fv49"},{"id":"https://openalex.org/F4320332605","display_name":"Agricultural Research Service","ror":"https://ror.org/02d2m2044"},{"id":"https://openalex.org/F4320337674","display_name":"Wind Energy Technologies Office","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2949053898.pdf","grobid_xml":"https://content.openalex.org/works/W2949053898.grobid-xml"},"referenced_works_count":36,"referenced_works":["https://openalex.org/W133641898","https://openalex.org/W757456028","https://openalex.org/W1552694902","https://openalex.org/W1558832481","https://openalex.org/W1605606411","https://openalex.org/W1810256132","https://openalex.org/W1823076153","https://openalex.org/W1980809300","https://openalex.org/W1983681808","https://openalex.org/W2005945380","https://openalex.org/W2011039300","https://openalex.org/W2022171653","https://openalex.org/W2033523472","https://openalex.org/W2063981365","https://openalex.org/W2072406625","https://openalex.org/W2080379754","https://openalex.org/W2083093295","https://openalex.org/W2100408869","https://openalex.org/W2121041488","https://openalex.org/W2124281878","https://openalex.org/W2164570631","https://openalex.org/W2167429959","https://openalex.org/W2245577816","https://openalex.org/W2287618863","https://openalex.org/W2425348221","https://openalex.org/W2427321582","https://openalex.org/W2501364796","https://openalex.org/W2520469311","https://openalex.org/W2547288118","https://openalex.org/W2767324389","https://openalex.org/W2784914255","https://openalex.org/W2798334132","https://openalex.org/W2798931485","https://openalex.org/W2899012106","https://openalex.org/W2950201825","https://openalex.org/W4206031975"],"related_works":["https://openalex.org/W1995054232","https://openalex.org/W2156910174","https://openalex.org/W1556709767","https://openalex.org/W2011510925","https://openalex.org/W1557920161","https://openalex.org/W1993023208","https://openalex.org/W4291020658","https://openalex.org/W2593813644","https://openalex.org/W1562218326","https://openalex.org/W2061476331"],"abstract_inverted_index":{"This":[0],"paper":[1],"studies":[2],"the":[3,59,149],"problem":[4,60],"of":[5,71,135,153],"\\em":[6,62,139],"answering":[7],"Why-questions":[8],"for":[9],"graph":[10,22],"pattern":[11],"queries.":[12],"Given":[13],"a":[14,21,36,53,69,133],"query":[15,37,82,98],"Q,":[16],"its":[17],"answers":[18,117],"$Q(G)$":[19],"in":[20],"G,":[23],"and":[24,46,77,123,128,151,156],"an":[25],"exemplar":[26],"$\\E$":[27,51,114],"that":[28,41,118],"describes":[29],"desired":[30],"answers,":[31],"it":[32],"aims":[33],"to":[34,79,93,96,115,121],"compute":[35,97],"rewrite":[38],"$Q'$,":[39],"such":[40],"$Q'(G)$":[42],"incorporates":[43],"relevant":[44],"entities":[45],"excludes":[47],"irrelevant":[48,129],"ones":[49],"wrt":[50],"under":[52],"closeness":[54],"measure.":[55],"(1)":[56],"We":[57,85],"characterize":[58],"by":[61,67,75,104,131],"Q-Chase.":[63],"It":[64],"rewrites":[65],"Q":[66],"applying":[68],"sequence":[70],"applicable":[72],"operators":[73,107,127],"guided":[74],"$\\E$,":[76],"backtracks":[78],"derive":[80],"optimal":[81],"rewrite.":[83],"(2)":[84],"develop":[86],"feasible":[87],"Q-Chase-based":[88],"algorithms,":[89],"from":[90],"anytime":[91],"solutions":[92],"fixed-parameter":[94],"approximations":[95],"rewrites.":[99],"These":[100],"algorithms":[101],"implement":[102],"Q-Chase":[103],"detecting":[105],"picky":[106],"at":[108],"run":[109],"time,":[110],"which":[111],"discriminately":[112],"enforce":[113],"retain":[116],"are":[119],"closer":[120],"exemplars,":[122],"effectively":[124],"prune":[125],"both":[126],"matches,":[130],"consulting":[132],"cache":[134],"star":[136,140],"patterns":[137],"(called":[138],"views":[141],").":[142],"Using":[143],"real-world":[144],"graphs,":[145],"we":[146],"experimentally":[147],"verify":[148],"efficiency":[150],"effectiveness":[152],"\\qchase":[154],"techniques":[155],"their":[157],"applications.":[158]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
