{"id":"https://openalex.org/W2001743633","doi":"https://doi.org/10.1145/1989323.1989341","title":"Efficient query answering in probabilistic RDF graphs","display_name":"Efficient query answering in probabilistic RDF graphs","publication_year":2011,"publication_date":"2011-06-12","ids":{"openalex":"https://openalex.org/W2001743633","doi":"https://doi.org/10.1145/1989323.1989341","mag":"2001743633"},"language":"en","primary_location":{"id":"doi:10.1145/1989323.1989341","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1989323.1989341","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2011 ACM SIGMOD International Conference on Management of data","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/A5026993561","display_name":"Xiang Lian","orcid":"https://orcid.org/0000-0001-7681-3807"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Xiang Lian","raw_affiliation_strings":["Hong Kong University of Science and Technology, Hong Kong, Hong Kong","Hong Kong University Of Science And Technology, Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Hong Kong University of Science and Technology, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I200769079"]},{"raw_affiliation_string":"Hong Kong University Of Science And Technology, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100333516","display_name":"Lei Chen","orcid":"https://orcid.org/0000-0002-8257-5806"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Lei Chen","raw_affiliation_strings":["Hong Kong University of Science and Technology, Hong Kong, Hong Kong","Hong Kong University Of Science And Technology, Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Hong Kong University of Science and Technology, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I200769079"]},{"raw_affiliation_string":"Hong Kong University Of Science And Technology, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I200769079"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5026993561"],"corresponding_institution_ids":["https://openalex.org/I200769079"],"apc_list":null,"apc_paid":null,"fwci":4.8997,"has_fulltext":false,"cited_by_count":45,"citation_normalized_percentile":{"value":0.95728259,"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":"157","last_page":"168"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":1.0,"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":1.0,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.9993000030517578,"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":0.9984999895095825,"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/probabilistic-logic","display_name":"Probabilistic logic","score":0.7389143705368042},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7345887422561646},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.7191014289855957},{"id":"https://openalex.org/keywords/rdf","display_name":"RDF","score":0.5936561822891235},{"id":"https://openalex.org/keywords/probabilistic-database","display_name":"Probabilistic database","score":0.47862309217453003},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4605414569377899},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.45986199378967285},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.4132121503353119},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3757670819759369},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.27341675758361816},{"id":"https://openalex.org/keywords/relational-database","display_name":"Relational database","score":0.22220662236213684},{"id":"https://openalex.org/keywords/database-theory","display_name":"Database theory","score":0.09962445497512817},{"id":"https://openalex.org/keywords/semantic-web","display_name":"Semantic Web","score":0.09551358222961426}],"concepts":[{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.7389143705368042},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7345887422561646},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.7191014289855957},{"id":"https://openalex.org/C147497476","wikidata":"https://www.wikidata.org/wiki/Q54872","display_name":"RDF","level":3,"score":0.5936561822891235},{"id":"https://openalex.org/C174539288","wikidata":"https://www.wikidata.org/wiki/Q7246853","display_name":"Probabilistic database","level":4,"score":0.47862309217453003},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4605414569377899},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.45986199378967285},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.4132121503353119},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3757670819759369},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.27341675758361816},{"id":"https://openalex.org/C5655090","wikidata":"https://www.wikidata.org/wiki/Q192588","display_name":"Relational database","level":2,"score":0.22220662236213684},{"id":"https://openalex.org/C12439846","wikidata":"https://www.wikidata.org/wiki/Q4809258","display_name":"Database theory","level":3,"score":0.09962445497512817},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.09551358222961426},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/1989323.1989341","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1989323.1989341","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2011 ACM SIGMOD International Conference on Management of data","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-35227","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-35227","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W29172951","https://openalex.org/W1480577350","https://openalex.org/W1487405157","https://openalex.org/W1512485814","https://openalex.org/W1767833073","https://openalex.org/W1796903226","https://openalex.org/W2011912678","https://openalex.org/W2073545563","https://openalex.org/W2077439276","https://openalex.org/W2078686663","https://openalex.org/W2089247435","https://openalex.org/W2114157818","https://openalex.org/W2114544510","https://openalex.org/W2116391761","https://openalex.org/W2120342618","https://openalex.org/W2127186572","https://openalex.org/W2133457275","https://openalex.org/W2134414349","https://openalex.org/W2135577024","https://openalex.org/W2137442080","https://openalex.org/W2138271690","https://openalex.org/W2140613126","https://openalex.org/W2140757415","https://openalex.org/W2142738471","https://openalex.org/W2143363350","https://openalex.org/W2144810465","https://openalex.org/W2148522916","https://openalex.org/W2153508518","https://openalex.org/W2160845726","https://openalex.org/W2161584750","https://openalex.org/W2166916904","https://openalex.org/W2172007538","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W1774414873","https://openalex.org/W2000084727","https://openalex.org/W2744606804","https://openalex.org/W2739264497","https://openalex.org/W2103934874","https://openalex.org/W2125434953","https://openalex.org/W2749065928","https://openalex.org/W4238495367","https://openalex.org/W2128160835","https://openalex.org/W4288558710"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,17,56,69,95],"tackle":[4],"the":[5,66,88,92,102,110],"problem":[6],"of":[7,35,104,146],"efficiently":[8,50],"answering":[9],"queries":[10,138],"on":[11,52,139],"probabilistic":[12,22,36,53,63,93,140],"RDF":[13,19,26,54,141],"data":[14,20],"graphs.":[15],"Specifically,":[16],"model":[18,99],"by":[21,76],"graphs,":[23,55],"and":[24,62,80,128,131],"an":[25,120,133],"query":[27,47,111],"is":[28,113],"equivalent":[29],"to":[30,42,86,100,115,136],"a":[31,45,97],"search":[32],"over":[33],"subgraphs":[34],"graphs":[37],"that":[38,109,123],"have":[39],"high":[40],"probabilities":[41],"match":[43],"with":[44],"given":[46],"graph.":[48],"To":[49],"processqueries":[51],"propose":[57,132],"effective":[58],"pruning":[59,89],"mechanisms,":[60],"structural":[61,67,82,127],"pruning.":[64],"For":[65,91],"pruning,":[68,94,130],"carefully":[70],"design":[71],"synopses":[72],"for":[73,126],"vertex/edge":[74],"labels":[75],"considering":[77],"their":[78],"distributions":[79],"other":[81],"information,":[83],"in":[84],"order":[85],"improve":[87],"power.":[90],"derive":[96],"cost":[98,112],"guide":[101],"pre-computation":[103],"probability":[105],"upper":[106],"bounds":[107],"such":[108],"expected":[114],"be":[116],"low.":[117],"We":[118],"construct":[119],"index":[121],"structure":[122],"integrates":[124],"synopses/statistics":[125],"robabilistic":[129],"efficient":[134],"approach":[135],"answer":[137],"graph":[142],"data.":[143],"The":[144],"efficiency":[145],"our":[147],"solutions":[148],"has":[149],"been":[150],"verified":[151],"through":[152],"extensive":[153],"experiments.":[154]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":4},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":7},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":8},{"year":2013,"cited_by_count":5},{"year":2012,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
