{"id":"https://openalex.org/W1967827263","doi":"https://doi.org/10.1145/2745754.2745767","title":"Efficient Evaluation and Approximation of Well-designed Pattern Trees","display_name":"Efficient Evaluation and Approximation of Well-designed Pattern Trees","publication_year":2015,"publication_date":"2015-05-20","ids":{"openalex":"https://openalex.org/W1967827263","doi":"https://doi.org/10.1145/2745754.2745767","mag":"1967827263"},"language":"en","primary_location":{"id":"doi:10.1145/2745754.2745767","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2745754.2745767","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 34th ACM SIGMOD-SIGACT-SIGAI  Symposium on Principles of Database Systems","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/A5051683347","display_name":"Pablo Barcel\u00f3","orcid":"https://orcid.org/0000-0003-2293-2653"},"institutions":[{"id":"https://openalex.org/I69737025","display_name":"University of Chile","ror":"https://ror.org/047gc3g35","country_code":"CL","type":"education","lineage":["https://openalex.org/I69737025"]}],"countries":["CL"],"is_corresponding":false,"raw_author_name":"Pablo Barcelo","raw_affiliation_strings":["University of Chile, Santiago de Chile, Chile"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Chile, Santiago de Chile, Chile","institution_ids":["https://openalex.org/I69737025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091683403","display_name":"Reinhard Pichler","orcid":"https://orcid.org/0000-0002-1760-122X"},"institutions":[{"id":"https://openalex.org/I145847075","display_name":"TU Wien","ror":"https://ror.org/04d836q62","country_code":"AT","type":"education","lineage":["https://openalex.org/I145847075"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Reinhard Pichler","raw_affiliation_strings":["Vienna University of Technology, Vienna, Austria","Vienna University of technology, Vienna, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Vienna University of Technology, Vienna, Austria","institution_ids":["https://openalex.org/I145847075"]},{"raw_affiliation_string":"Vienna University of technology, Vienna, Austria","institution_ids":["https://openalex.org/I145847075"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088801808","display_name":"Sebastian Skritek","orcid":"https://orcid.org/0000-0003-3054-7683"},"institutions":[{"id":"https://openalex.org/I145847075","display_name":"TU Wien","ror":"https://ror.org/04d836q62","country_code":"AT","type":"education","lineage":["https://openalex.org/I145847075"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Sebastian Skritek","raw_affiliation_strings":["Vienna University of Technology, Vienna, Austria","Vienna University of technology, Vienna, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Vienna University of Technology, Vienna, Austria","institution_ids":["https://openalex.org/I145847075"]},{"raw_affiliation_string":"Vienna University of technology, Vienna, Austria","institution_ids":["https://openalex.org/I145847075"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":6.6624,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.96916711,"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":"131","last_page":"144"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10317","display_name":"Advanced Database Systems and Queries","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9994999766349792,"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/T11106","display_name":"Data Management and Algorithms","score":0.9983000159263611,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/corollary","display_name":"Corollary","score":0.8146795034408569},{"id":"https://openalex.org/keywords/conjunctive-query","display_name":"Conjunctive query","score":0.7710446119308472},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7412710785865784},{"id":"https://openalex.org/keywords/formalism","display_name":"Formalism (music)","score":0.6659237742424011},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.658542275428772},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.6015665531158447},{"id":"https://openalex.org/keywords/relational-database","display_name":"Relational database","score":0.4939311146736145},{"id":"https://openalex.org/keywords/semantic-web","display_name":"Semantic Web","score":0.46425727009773254},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3636190891265869},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.2487606406211853},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24337273836135864},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20392000675201416},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.16255703568458557}],"concepts":[{"id":"https://openalex.org/C2780012671","wikidata":"https://www.wikidata.org/wiki/Q1343870","display_name":"Corollary","level":2,"score":0.8146795034408569},{"id":"https://openalex.org/C65647387","wikidata":"https://www.wikidata.org/wiki/Q1781706","display_name":"Conjunctive query","level":3,"score":0.7710446119308472},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7412710785865784},{"id":"https://openalex.org/C73301696","wikidata":"https://www.wikidata.org/wiki/Q5469984","display_name":"Formalism (music)","level":3,"score":0.6659237742424011},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.658542275428772},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.6015665531158447},{"id":"https://openalex.org/C5655090","wikidata":"https://www.wikidata.org/wiki/Q192588","display_name":"Relational database","level":2,"score":0.4939311146736145},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.46425727009773254},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3636190891265869},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.2487606406211853},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24337273836135864},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20392000675201416},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.16255703568458557},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C558565934","wikidata":"https://www.wikidata.org/wiki/Q2743","display_name":"Musical","level":2,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2745754.2745767","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2745754.2745767","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 34th ACM SIGMOD-SIGACT-SIGAI  Symposium on Principles of Database Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W52840101","https://openalex.org/W1969276117","https://openalex.org/W1979514837","https://openalex.org/W1988714410","https://openalex.org/W1989038407","https://openalex.org/W1990870868","https://openalex.org/W2001130632","https://openalex.org/W2004485491","https://openalex.org/W2008536061","https://openalex.org/W2033267049","https://openalex.org/W2033325972","https://openalex.org/W2040586957","https://openalex.org/W2065023965","https://openalex.org/W2094767843","https://openalex.org/W2104498537","https://openalex.org/W2113690593","https://openalex.org/W2131785201","https://openalex.org/W2134483537","https://openalex.org/W2242459625","https://openalex.org/W2480499276","https://openalex.org/W2624220145","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2376029318","https://openalex.org/W2388301251","https://openalex.org/W2013770701","https://openalex.org/W3013941779","https://openalex.org/W1998659141","https://openalex.org/W3174970460","https://openalex.org/W1639806124","https://openalex.org/W206482712","https://openalex.org/W2288512712","https://openalex.org/W1979093255"],"abstract_inverted_index":{"Conjunctive":[0],"queries":[1],"(CQs)":[2],"fail":[3,70],"to":[4,59,71,115,131,158],"provide":[5],"an":[6,73],"answer":[7,74],"when":[8,31],"the":[9,13,19,63,80,97,121,150],"pattern":[10,48],"described":[11],"by":[12],"query":[14],"does":[15],"not":[16,69],"exactly":[17],"match":[18,60],"data.":[20],"CQs":[21],"might":[22],"thus":[23],"be":[24],"too":[25],"restrictive":[26],"as":[27,46],"a":[28,42,127,141,160],"querying":[29],"mechanism":[30],"data":[32],"is":[33,104,129],"semistructured":[34],"or":[35],"incomplete.":[36],"The":[37],"semantic":[38,83],"web":[39,84],"therefore":[40],"provides":[41],"formalism":[43],"-":[44,51],"known":[45],"well-designed":[47],"trees":[49],"(WDPTs)":[50],"that":[52,113],"tackles":[53],"this":[54],"problem:":[55],"WDPTs":[56,88,112],"allow":[57,156],"us":[58,157],"patterns":[61],"over":[62,89],"data,":[64],"if":[65,126],"available,":[66],"but":[67],"do":[68],"give":[72],"otherwise.":[75],"Here":[76],"we":[77,137,143],"abstract":[78],"away":[79],"specifics":[81],"of":[82,99,111,117,120,147,162],"applications":[85],"and":[86],"study":[87],"arbitrary":[90],"relational":[91],"schemas.":[92],"Our":[93,153],"language":[94],"properly":[95],"subsumes":[96],"class":[98],"CQs.":[100],"Hence,":[101],"WDPT":[102,128],"evaluation":[103,122,151],"intractable.":[105],"We":[106],"identify":[107],"structural":[108],"proper":[109],"ties":[110],"lead":[114],"tractability":[116,146],"various":[118],"variants":[119],"problem.":[123,152],"For":[124],"checking":[125],"equivalent":[130],"one":[132],"in":[133],"our":[134],"tractable":[135],"class,":[136],"prove":[138],"2EXPTIME-membership.":[139],"As":[140],"corollary,":[142],"obtain":[144],"fixed-parameter":[145],"(variants":[148],"of)":[149],"techniques":[154],"also":[155],"develop":[159],"theory":[161],"approximations":[163],"for":[164],"WDPTs.":[165]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":11},{"year":2015,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
