{"id":"https://openalex.org/W2888755732","doi":"https://doi.org/10.1145/3233983","title":"Efficient Evaluation and Static Analysis for Well-Designed Pattern Trees with Projection","display_name":"Efficient Evaluation and Static Analysis for Well-Designed Pattern Trees with Projection","publication_year":2018,"publication_date":"2018-06-30","ids":{"openalex":"https://openalex.org/W2888755732","doi":"https://doi.org/10.1145/3233983","mag":"2888755732"},"language":"en","primary_location":{"id":"doi:10.1145/3233983","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3233983","pdf_url":null,"source":{"id":"https://openalex.org/S90119964","display_name":"ACM Transactions on Database Systems","issn_l":"0362-5915","issn":["0362-5915","1557-4644"],"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":"ACM Transactions on Database Systems","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/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 Barcel\u00f3","raw_affiliation_strings":["Dept. of Comp. Science, Univ. of Chile and IMFD Chile, Chile"],"raw_orcid":"https://orcid.org/0000-0003-2293-2653","affiliations":[{"raw_affiliation_string":"Dept. of Comp. Science, Univ. of Chile and IMFD Chile, Chile","institution_ids":["https://openalex.org/I69737025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058234208","display_name":"Markus Kr\u00f6ll","orcid":"https://orcid.org/0009-0006-3217-0735"},"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":"Markus Kr\u00f6ll","raw_affiliation_strings":["TU Wien, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TU Wien, Austria","institution_ids":["https://openalex.org/I145847075"]}]},{"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":["TU Wien, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TU Wien, 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":["TU Wien, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TU Wien, Austria","institution_ids":["https://openalex.org/I145847075"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5069,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.74050681,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"43","issue":"2","first_page":"1","last_page":"44"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9998000264167786,"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/T11106","display_name":"Data Management and Algorithms","score":0.9991999864578247,"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/computer-science","display_name":"Computer science","score":0.8485760688781738},{"id":"https://openalex.org/keywords/conjunctive-query","display_name":"Conjunctive query","score":0.8095937967300415},{"id":"https://openalex.org/keywords/corollary","display_name":"Corollary","score":0.6318691968917847},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.5616931319236755},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5435795783996582},{"id":"https://openalex.org/keywords/formalism","display_name":"Formalism (music)","score":0.5418283939361572},{"id":"https://openalex.org/keywords/relational-database","display_name":"Relational database","score":0.4711894989013672},{"id":"https://openalex.org/keywords/query-language","display_name":"Query language","score":0.44333773851394653},{"id":"https://openalex.org/keywords/data-integrity","display_name":"Data integrity","score":0.4430941641330719},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3491315245628357},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.1569157838821411},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.15054994821548462},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.1448732316493988},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.128208726644516}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8485760688781738},{"id":"https://openalex.org/C65647387","wikidata":"https://www.wikidata.org/wiki/Q1781706","display_name":"Conjunctive query","level":3,"score":0.8095937967300415},{"id":"https://openalex.org/C2780012671","wikidata":"https://www.wikidata.org/wiki/Q1343870","display_name":"Corollary","level":2,"score":0.6318691968917847},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5616931319236755},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5435795783996582},{"id":"https://openalex.org/C73301696","wikidata":"https://www.wikidata.org/wiki/Q5469984","display_name":"Formalism (music)","level":3,"score":0.5418283939361572},{"id":"https://openalex.org/C5655090","wikidata":"https://www.wikidata.org/wiki/Q192588","display_name":"Relational database","level":2,"score":0.4711894989013672},{"id":"https://openalex.org/C192028432","wikidata":"https://www.wikidata.org/wiki/Q845739","display_name":"Query language","level":2,"score":0.44333773851394653},{"id":"https://openalex.org/C33762810","wikidata":"https://www.wikidata.org/wiki/Q461671","display_name":"Data integrity","level":2,"score":0.4430941641330719},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3491315245628357},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.1569157838821411},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.15054994821548462},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.1448732316493988},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.128208726644516},{"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},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3233983","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3233983","pdf_url":null,"source":{"id":"https://openalex.org/S90119964","display_name":"ACM Transactions on Database Systems","issn_l":"0362-5915","issn":["0362-5915","1557-4644"],"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":"ACM Transactions on Database Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8802583141","display_name":"SEE: SPARQL Evaluation and Extensions","funder_award_id":"ICT12-015","funder_id":"https://openalex.org/F4320321003","funder_display_name":"Vienna Science and Technology Fund"}],"funders":[{"id":"https://openalex.org/F4320321003","display_name":"Vienna Science and Technology Fund","ror":"https://ror.org/01f9mc681"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W36639738","https://openalex.org/W52840101","https://openalex.org/W1486752157","https://openalex.org/W1853742281","https://openalex.org/W1967827263","https://openalex.org/W1969276117","https://openalex.org/W1979328074","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/W2027519504","https://openalex.org/W2027702526","https://openalex.org/W2033267049","https://openalex.org/W2033325972","https://openalex.org/W2048685245","https://openalex.org/W2065023965","https://openalex.org/W2094767843","https://openalex.org/W2104498537","https://openalex.org/W2111829945","https://openalex.org/W2113690593","https://openalex.org/W2131785201","https://openalex.org/W2134483537","https://openalex.org/W2143238590","https://openalex.org/W2338508724","https://openalex.org/W2345875610","https://openalex.org/W2346099666","https://openalex.org/W2423871547","https://openalex.org/W2426917926","https://openalex.org/W2480499276","https://openalex.org/W2561675875","https://openalex.org/W2624220145","https://openalex.org/W2740400026","https://openalex.org/W2752966494","https://openalex.org/W2913688336","https://openalex.org/W2950822337","https://openalex.org/W2953301988","https://openalex.org/W2962826847","https://openalex.org/W2963991671","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W3174970460","https://openalex.org/W2258149899","https://openalex.org/W1639806124","https://openalex.org/W1665257821","https://openalex.org/W2158405910","https://openalex.org/W2170742693","https://openalex.org/W206482712","https://openalex.org/W2056093042","https://openalex.org/W2288512712","https://openalex.org/W2795548388"],"abstract_inverted_index":{"Conjunctive":[0],"queries":[1,58],"(CQs)":[2],"fail":[3],"to":[4,56,117,137,166],"provide":[5],"an":[6],"answer":[7],"when":[8,31],"the":[9,13,19,63,66,76,84,98,124],"pattern":[10,47],"described":[11],"by":[12],"query":[14,64,78],"does":[15],"not":[16,72],"exactly":[17],"match":[18,60],"data.":[20],"CQs":[21],"might":[22],"thus":[23],"be":[24],"too":[25],"restrictive":[26],"as":[27,44],"a":[28,42,133,147,168],"querying":[29],"mechanism":[30],"data":[32,67],"is":[33,107,135,143],"semistructured":[34],"or":[35],"incomplete.":[36],"The":[37],"semantic":[38,87],"web":[39,88],"therefore":[40],"provides":[41],"formalism\u2014known":[43],"(projected)":[45],"well-designed":[46],"trees":[48],"(pWDPTs)\u2014that":[49],"tackles":[50],"this":[51],"problem:":[52],"pWDPTs":[53,92,101,114,156],"allow":[54,164],"us":[55,165],"formulate":[57],"that":[59,115,130],"parts":[61],"of":[62,75,86,100,113,120,123,153,170],"over":[65,93],"if":[68,132],"available,":[69],"but":[70],"do":[71],"ignore":[73],"answers":[74],"remaining":[77],"otherwise.":[79],"Here":[80],"we":[81,149],"abstract":[82],"away":[83],"specifics":[85],"applications":[89],"and":[90],"study":[91],"arbitrary":[94],"relational":[95],"schemas.":[96],"Since":[97],"language":[99],"subsumes":[102],"CQs,":[103],"their":[104],"evaluation":[105,125,154],"problem":[106],"intractable.":[108],"We":[109,127],"identify":[110],"structural":[111],"properties":[112],"lead":[116],"(fixed-parameter)":[118],"tractability":[119,152],"various":[121],"variants":[122],"problem.":[126],"also":[128,163],"show":[129],"checking":[131],"pWDPT":[134],"equivalent":[136],"one":[138],"in":[139,144],"our":[140],"tractable":[141],"class":[142],"2EXPTIME.":[145],"As":[146],"corollary,":[148],"obtain":[150],"fixed-parameter":[151],"for":[155,172],"with":[157],"such":[158],"good":[159],"behavior.":[160],"Our":[161],"techniques":[162],"develop":[167],"theory":[169],"approximations":[171],"pWDPTs.":[173]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}