{"id":"https://openalex.org/W2923412443","doi":"https://doi.org/10.1155/2019/8258197","title":"pSPARQL: A Querying Language for Probabilistic RDF Data","display_name":"pSPARQL: A Querying Language for Probabilistic RDF Data","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2923412443","doi":"https://doi.org/10.1155/2019/8258197","mag":"2923412443"},"language":"en","primary_location":{"id":"doi:10.1155/2019/8258197","is_oa":true,"landing_page_url":"http://doi.org/10.1155/2019/8258197","pdf_url":"https://downloads.hindawi.com/journals/complexity/2019/8258197.pdf","source":{"id":"https://openalex.org/S207319443","display_name":"Complexity","issn_l":"1076-2787","issn":["1076-2787","1099-0526"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complexity","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://downloads.hindawi.com/journals/complexity/2019/8258197.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103065120","display_name":"Hong Fang","orcid":"https://orcid.org/0000-0003-2291-9061"},"institutions":[{"id":"https://openalex.org/I135905480","display_name":"Shanghai Polytechnic University","ror":"https://ror.org/02as5yg64","country_code":"CN","type":"education","lineage":["https://openalex.org/I135905480"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hong Fang","raw_affiliation_strings":["College of Arts and Sciences, Shanghai Polytechnic University, Shanghai 201209, China","College of Arts and Sciences, Shanghai Polytechnic University, Shanghai 201209"],"affiliations":[{"raw_affiliation_string":"College of Arts and Sciences, Shanghai Polytechnic University, Shanghai 201209, China","institution_ids":["https://openalex.org/I135905480"]},{"raw_affiliation_string":"College of Arts and Sciences, Shanghai Polytechnic University, Shanghai 201209","institution_ids":["https://openalex.org/I135905480"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5103065120"],"corresponding_institution_ids":["https://openalex.org/I135905480"],"apc_list":{"value":2300,"currency":"USD","value_usd":2300},"apc_paid":{"value":2300,"currency":"USD","value_usd":2300},"fwci":0.1445,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.55497912,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"2019","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9988999962806702,"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/T10317","display_name":"Advanced Database Systems and Queries","score":0.9975000023841858,"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":0.7791566252708435},{"id":"https://openalex.org/keywords/rdf","display_name":"RDF","score":0.7497183680534363},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6421543955802917},{"id":"https://openalex.org/keywords/rdf-query-language","display_name":"RDF query language","score":0.5013566017150879},{"id":"https://openalex.org/keywords/rdf-schema","display_name":"RDF Schema","score":0.4283870458602905},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.35966014862060547},{"id":"https://openalex.org/keywords/sparql","display_name":"SPARQL","score":0.3526708483695984},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.32229140400886536},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2539423108100891},{"id":"https://openalex.org/keywords/semantic-web","display_name":"Semantic Web","score":0.1712493896484375}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7791566252708435},{"id":"https://openalex.org/C147497476","wikidata":"https://www.wikidata.org/wiki/Q54872","display_name":"RDF","level":3,"score":0.7497183680534363},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6421543955802917},{"id":"https://openalex.org/C96956885","wikidata":"https://www.wikidata.org/wiki/Q6138701","display_name":"RDF query language","level":5,"score":0.5013566017150879},{"id":"https://openalex.org/C15657843","wikidata":"https://www.wikidata.org/wiki/Q1751819","display_name":"RDF Schema","level":5,"score":0.4283870458602905},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.35966014862060547},{"id":"https://openalex.org/C41009113","wikidata":"https://www.wikidata.org/wiki/Q54871","display_name":"SPARQL","level":4,"score":0.3526708483695984},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.32229140400886536},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2539423108100891},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.1712493896484375},{"id":"https://openalex.org/C118689300","wikidata":"https://www.wikidata.org/wiki/Q7978614","display_name":"Web query classification","level":4,"score":0.0},{"id":"https://openalex.org/C164120249","wikidata":"https://www.wikidata.org/wiki/Q995982","display_name":"Web search query","level":3,"score":0.0},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1155/2019/8258197","is_oa":true,"landing_page_url":"http://doi.org/10.1155/2019/8258197","pdf_url":"https://downloads.hindawi.com/journals/complexity/2019/8258197.pdf","source":{"id":"https://openalex.org/S207319443","display_name":"Complexity","issn_l":"1076-2787","issn":["1076-2787","1099-0526"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complexity","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:hin:complx:8258197","is_oa":false,"landing_page_url":"http://downloads.hindawi.com/journals/8503/2019/8258197.xml","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"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":"article"},{"id":"pmh:oai:doaj.org/article:0a60cc0a37e145208e31752466206d9e","is_oa":true,"landing_page_url":"https://doaj.org/article/0a60cc0a37e145208e31752466206d9e","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Complexity, Vol 2019 (2019)","raw_type":"article"},{"id":"pmh:oai:hindawi.com:10.1155/2019/8258197","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2019/8258197","pdf_url":null,"source":{"id":"https://openalex.org/S4306400340","display_name":"Hindawi Journal of Chemistry (Hindawi)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210126990","host_organization_name":"Hindawi (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210126990"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Research Article"}],"best_oa_location":{"id":"doi:10.1155/2019/8258197","is_oa":true,"landing_page_url":"http://doi.org/10.1155/2019/8258197","pdf_url":"https://downloads.hindawi.com/journals/complexity/2019/8258197.pdf","source":{"id":"https://openalex.org/S207319443","display_name":"Complexity","issn_l":"1076-2787","issn":["1076-2787","1099-0526"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complexity","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.699999988079071}],"awards":[{"id":"https://openalex.org/G8206523192","display_name":null,"funder_award_id":"XXKPY1604","funder_id":"https://openalex.org/F4320329022","funder_display_name":"Shanghai Polytechnic University"}],"funders":[{"id":"https://openalex.org/F4320329022","display_name":"Shanghai Polytechnic University","ror":"https://ror.org/02as5yg64"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2923412443.pdf","grobid_xml":"https://content.openalex.org/works/W2923412443.grobid-xml"},"referenced_works_count":15,"referenced_works":["https://openalex.org/W1767833073","https://openalex.org/W1930472418","https://openalex.org/W2001743633","https://openalex.org/W2012900364","https://openalex.org/W2022166150","https://openalex.org/W2131785201","https://openalex.org/W2148544545","https://openalex.org/W2163598528","https://openalex.org/W2171231717","https://openalex.org/W2204453953","https://openalex.org/W2547507066","https://openalex.org/W2787763958","https://openalex.org/W2789140669","https://openalex.org/W4206685748","https://openalex.org/W4254811358"],"related_works":["https://openalex.org/W3171256892","https://openalex.org/W3082761338","https://openalex.org/W2791763890","https://openalex.org/W1547764714","https://openalex.org/W4301152651","https://openalex.org/W2079781157","https://openalex.org/W2563388676","https://openalex.org/W2120236199","https://openalex.org/W2091301598","https://openalex.org/W1618147311"],"abstract_inverted_index":{"More":[0],"and":[1,18,50,106,115],"more":[2,49,51],"linked":[3,39,56,77],"data":[4,14,40,57,73],"(taken":[5],"as":[6,16,93,112],"knowledge)":[7],"can":[8,101],"be":[9],"automatically":[10],"generated":[11],"from":[12],"nonstructured":[13],"such":[15,111],"text":[17],"image":[19],"via":[20],"learning,":[21],"which":[22],"are":[23,41],"often":[24],"uncertain":[25,55,76],"in":[26,58,125,129],"practice.":[27],"On":[28],"the":[29,34,103],"other":[30],"hand,":[31],"most":[32],"of":[33],"existing":[35],"approaches":[36],"to":[37,53],"processing":[38],"mainly":[42],"designed":[43],"for":[44,70,97],"certain":[45],"data.":[46],"It":[47],"becomes":[48],"important":[52,75,109],"process":[54],"theoretical":[59],"aspect.":[60],"In":[61],"this":[62],"paper,":[63],"we":[64,119],"present":[65],"a":[66,83,94,130],"querying":[67,95],"language":[68,96],"framework":[69],"probabilistic":[71],"RDF":[72,98],"(an":[74],"data),":[78],"where":[79],"each":[80],"triple":[81],"has":[82],"probability,":[84],"called":[85],"pSRARQL,":[86],"built":[87],"on":[88],"SPARQL,":[89],"recommended":[90],"by":[91],"W3C":[92],"databases.":[99],"pSPARQL":[100,122],"support":[102],"full":[104],"SPARQL":[105],"satisfies":[107],"some":[108,116],"properties":[110],"well\u2010definedness,":[113],"uniqueness,":[114],"equivalences.":[117],"Finally,":[118],"illustrate":[120],"that":[121],"is":[123],"feasible":[124],"expressing":[126],"practical":[127],"queries":[128],"real":[131],"world.":[132]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
