{"id":"https://openalex.org/W2308152275","doi":"https://doi.org/10.1145/2932194.2932196","title":"On the statistical analysis of practical SPARQL queries","display_name":"On the statistical analysis of practical SPARQL queries","publication_year":2016,"publication_date":"2016-06-17","ids":{"openalex":"https://openalex.org/W2308152275","doi":"https://doi.org/10.1145/2932194.2932196","mag":"2308152275"},"language":"en","primary_location":{"id":"doi:10.1145/2932194.2932196","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2932194.2932196","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 19th International Workshop on Web and Databases","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/A5089008080","display_name":"Xingwang Han","orcid":null},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xingwang Han","raw_affiliation_strings":["Tianjin University, Tianjin, China and Tianjin Key Laboratory of Cognitive Computing and Application, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"Tianjin University, Tianjin, China and Tianjin Key Laboratory of Cognitive Computing and Application, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100736532","display_name":"Zhiyong Feng","orcid":"https://orcid.org/0000-0001-8158-7453"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiyong Feng","raw_affiliation_strings":["Tianjin University, Tianjin, China, Tianjin Key Laboratory of Cognitive Computing and Application, Tianjin, China and Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"Tianjin University, Tianjin, China, Tianjin Key Laboratory of Cognitive Computing and Application, Tianjin, China and Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030524599","display_name":"Xiaowang Zhang","orcid":"https://orcid.org/0000-0002-3931-3886"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaowang Zhang","raw_affiliation_strings":["Tianjin University, Tianjin, China and Tianjin Key Laboratory of Cognitive Computing and Application, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"Tianjin University, Tianjin, China and Tianjin Key Laboratory of Cognitive Computing and Application, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100327868","display_name":"Xin Wang","orcid":"https://orcid.org/0000-0001-9651-0651"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Wang","raw_affiliation_strings":["Tianjin University, Tianjin, China and Tianjin Key Laboratory of Cognitive Computing and Application, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"Tianjin University, Tianjin, China and Tianjin Key Laboratory of Cognitive Computing and Application, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029977488","display_name":"Guozheng Rao","orcid":"https://orcid.org/0000-0002-6261-576X"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guozheng Rao","raw_affiliation_strings":["Tianjin University, Tianjin, China and Tianjin Key Laboratory of Cognitive Computing and Application, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"Tianjin University, Tianjin, China and Tianjin Key Laboratory of Cognitive Computing and Application, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037062152","display_name":"Shuo Jiang","orcid":"https://orcid.org/0000-0001-5970-7949"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuo Jiang","raw_affiliation_strings":["Tianjin University, Tianjin, China and Tianjin Key Laboratory of Cognitive Computing and Application, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"Tianjin University, Tianjin, China and Tianjin Key Laboratory of Cognitive Computing and Application, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5089008080"],"corresponding_institution_ids":["https://openalex.org/I162868743"],"apc_list":null,"apc_paid":null,"fwci":6.4272,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.96609712,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.9986000061035156,"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":0.9986000061035156,"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9810000061988831,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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":0.9789000153541565,"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/sparql","display_name":"SPARQL","score":0.9693716764450073},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8334052562713623},{"id":"https://openalex.org/keywords/heuristics","display_name":"Heuristics","score":0.7051645517349243},{"id":"https://openalex.org/keywords/named-graph","display_name":"Named graph","score":0.6697872281074524},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5373951196670532},{"id":"https://openalex.org/keywords/monotonic-function","display_name":"Monotonic function","score":0.4657849371433258},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.4291532039642334},{"id":"https://openalex.org/keywords/scope","display_name":"Scope (computer science)","score":0.41321122646331787},{"id":"https://openalex.org/keywords/rdf","display_name":"RDF","score":0.36340945959091187},{"id":"https://openalex.org/keywords/semantic-web","display_name":"Semantic Web","score":0.23872017860412598},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.14445677399635315},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10263532400131226}],"concepts":[{"id":"https://openalex.org/C41009113","wikidata":"https://www.wikidata.org/wiki/Q54871","display_name":"SPARQL","level":4,"score":0.9693716764450073},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8334052562713623},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.7051645517349243},{"id":"https://openalex.org/C110893760","wikidata":"https://www.wikidata.org/wiki/Q3115590","display_name":"Named graph","level":5,"score":0.6697872281074524},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5373951196670532},{"id":"https://openalex.org/C72169020","wikidata":"https://www.wikidata.org/wiki/Q194404","display_name":"Monotonic function","level":2,"score":0.4657849371433258},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.4291532039642334},{"id":"https://openalex.org/C2778012447","wikidata":"https://www.wikidata.org/wiki/Q1034415","display_name":"Scope (computer science)","level":2,"score":0.41321122646331787},{"id":"https://openalex.org/C147497476","wikidata":"https://www.wikidata.org/wiki/Q54872","display_name":"RDF","level":3,"score":0.36340945959091187},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.23872017860412598},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.14445677399635315},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10263532400131226},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"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:10.1145/2932194.2932196","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2932194.2932196","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 19th International Workshop on Web and Databases","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4220988161","display_name":null,"funder_award_id":"61502336","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320326701","display_name":"Recruitment Program of Global Experts","ror":null},{"id":"https://openalex.org/F4320336656","display_name":"Thousand Young Talents Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1563056472","https://openalex.org/W1934051226","https://openalex.org/W1989038407","https://openalex.org/W1993786250","https://openalex.org/W1994822937","https://openalex.org/W2012900364","https://openalex.org/W2018369355","https://openalex.org/W2027702526","https://openalex.org/W2033267049","https://openalex.org/W2080476051","https://openalex.org/W2126717690","https://openalex.org/W2131785201","https://openalex.org/W2148544545","https://openalex.org/W2226235235","https://openalex.org/W2227365775","https://openalex.org/W2247735372","https://openalex.org/W2308114938","https://openalex.org/W2345875610","https://openalex.org/W2963991671","https://openalex.org/W3003770903"],"related_works":["https://openalex.org/W2904139343","https://openalex.org/W2469333531","https://openalex.org/W2121859659","https://openalex.org/W2109360361","https://openalex.org/W2615202182","https://openalex.org/W3210418586","https://openalex.org/W1935612762","https://openalex.org/W3150241097","https://openalex.org/W3145796410","https://openalex.org/W3033347047"],"abstract_inverted_index":{"In":[0,18,106],"this":[1,62],"paper,":[2],"we":[3,20],"analyze":[4],"some":[5,67,89,119],"basic":[6],"features":[7,25,40,50],"of":[8,30,114],"SPARQL":[9,54,80,94,100],"queries":[10,55,81],"from":[11],"practical":[12,90],"world":[13],"in":[14,56,77,125],"a":[15],"statistical":[16,63],"way.":[17],"particular,":[19],"focus":[21],"on":[22],"three":[23],"statistic":[24],"including":[26,41],"the":[27,49,115],"occurrence":[28],"frequency":[29],"triple":[31],"patterns,":[32],"fragments,":[33],"and":[34,37,46,72,104],"well-designed":[35],"patterns":[36],"four":[38],"semantic":[39],"monotonicity,":[42],"non-monotonicity,":[43],"weak":[44],"monotonicity":[45],"satisfiability.":[47],"All":[48],"contribute":[51],"to":[52,111],"characterize":[53],"different":[57],"dimensions.":[58],"We":[59],"hope":[60],"that":[61,85,121],"analysis":[64],"would":[65],"provide":[66],"useful":[68],"observations":[69],"for":[70,92],"researchers":[71],"engineers":[73],"who":[74],"are":[75],"interested":[76],"what":[78],"real-word":[79],"look":[82],"like,":[83],"so":[84],"they":[86],"could":[87],"develop":[88],"heuristics":[91],"processing":[93,102],"queries,":[95],"as":[96,98],"well":[97],"build":[99],"query":[101],"engines":[103],"benchmarks.":[105],"addition,":[107],"our":[108],"research":[109],"facilitates":[110],"reduce":[112],"scope":[113],"problems":[116],"by":[117],"avoiding":[118],"cases":[120],"may":[122],"not":[123],"occur":[124],"practice.":[126]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}