{"id":"https://openalex.org/W2914878865","doi":"https://doi.org/10.1145/3308558.3313556","title":"How Representative Is a SPARQL Benchmark? An Analysis of RDF Triplestore Benchmarks","display_name":"How Representative Is a SPARQL Benchmark? An Analysis of RDF Triplestore Benchmarks","publication_year":2019,"publication_date":"2019-05-13","ids":{"openalex":"https://openalex.org/W2914878865","doi":"https://doi.org/10.1145/3308558.3313556","mag":"2914878865"},"language":"en","primary_location":{"id":"doi:10.1145/3308558.3313556","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3308558.3313556","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The World Wide Web Conference","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3308558.3313556","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5019194095","display_name":"Muhammad Saleem","orcid":"https://orcid.org/0000-0001-9648-5417"},"institutions":[{"id":"https://openalex.org/I926574661","display_name":"Leipzig University","ror":"https://ror.org/03s7gtk40","country_code":"DE","type":"education","lineage":["https://openalex.org/I926574661"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Muhammad Saleem","raw_affiliation_strings":["Leipzig University, Germany"],"affiliations":[{"raw_affiliation_string":"Leipzig University, Germany","institution_ids":["https://openalex.org/I926574661"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021518799","display_name":"G\u00e1bor Sz\u00e1rnyas","orcid":"https://orcid.org/0000-0001-8233-4431"},"institutions":[{"id":"https://openalex.org/I29770179","display_name":"Budapest University of Technology and Economics","ror":"https://ror.org/02w42ss30","country_code":"HU","type":"education","lineage":["https://openalex.org/I29770179"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"G\u00e1bor Sz\u00e1rnyas","raw_affiliation_strings":["MTA-BME Lend\u00fclet Cyber-Physical Systems Research Group and Budapest University of Technology and Economics"],"affiliations":[{"raw_affiliation_string":"MTA-BME Lend\u00fclet Cyber-Physical Systems Research Group and Budapest University of Technology and Economics","institution_ids":["https://openalex.org/I29770179"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026184424","display_name":"Felix Conrads","orcid":"https://orcid.org/0000-0002-8803-6758"},"institutions":[{"id":"https://openalex.org/I206945453","display_name":"Paderborn University","ror":"https://ror.org/058kzsd48","country_code":"DE","type":"education","lineage":["https://openalex.org/I206945453"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Felix Conrads","raw_affiliation_strings":["DICE, Paderborn University"],"affiliations":[{"raw_affiliation_string":"DICE, Paderborn University","institution_ids":["https://openalex.org/I206945453"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005186462","display_name":"Syed Bukhari","orcid":"https://orcid.org/0000-0002-6861-2623"},"institutions":[{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Syed Ahmad Chan Bukhari","raw_affiliation_strings":["Yale University, School of Medicine, USA"],"affiliations":[{"raw_affiliation_string":"Yale University, School of Medicine, USA","institution_ids":["https://openalex.org/I32971472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044073014","display_name":"Qaiser Mehmood","orcid":"https://orcid.org/0000-0002-1380-1750"},"institutions":[{"id":"https://openalex.org/I188760350","display_name":"Ollscoil na Gaillimhe \u2013 University of Galway","ror":"https://ror.org/03bea9k73","country_code":"IE","type":"education","lineage":["https://openalex.org/I188760350"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Qaiser Mehmood","raw_affiliation_strings":["University of Ireland, Galway"],"affiliations":[{"raw_affiliation_string":"University of Ireland, Galway","institution_ids":["https://openalex.org/I188760350"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038745720","display_name":"Axel-Cyrille Ngonga Ngomo","orcid":"https://orcid.org/0000-0001-7112-3516"},"institutions":[{"id":"https://openalex.org/I206945453","display_name":"Paderborn University","ror":"https://ror.org/058kzsd48","country_code":"DE","type":"education","lineage":["https://openalex.org/I206945453"]},{"id":"https://openalex.org/I926574661","display_name":"Leipzig University","ror":"https://ror.org/03s7gtk40","country_code":"DE","type":"education","lineage":["https://openalex.org/I926574661"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Axel-Cyrille Ngonga Ngomo","raw_affiliation_strings":["Paderborn University and Leipzig University"],"affiliations":[{"raw_affiliation_string":"Paderborn University and Leipzig University","institution_ids":["https://openalex.org/I206945453","https://openalex.org/I926574661"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5019194095"],"corresponding_institution_ids":["https://openalex.org/I926574661"],"apc_list":null,"apc_paid":null,"fwci":5.9167,"has_fulltext":false,"cited_by_count":55,"citation_normalized_percentile":{"value":0.96855601,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1623","last_page":"1633"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.9991999864578247,"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":0.9991999864578247,"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/T11719","display_name":"Data Quality and Management","score":0.9939000010490417,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10317","display_name":"Advanced Database Systems and Queries","score":0.9879000186920166,"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/sparql","display_name":"SPARQL","score":0.9439845085144043},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.889835000038147},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.8363795280456543},{"id":"https://openalex.org/keywords/rdf","display_name":"RDF","score":0.7721433043479919},{"id":"https://openalex.org/keywords/workload","display_name":"Workload","score":0.5828847885131836},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5402995347976685},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.4855055809020996},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4640120267868042},{"id":"https://openalex.org/keywords/linked-data","display_name":"Linked data","score":0.42288652062416077},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.42122119665145874},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4191572666168213},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.37586596608161926},{"id":"https://openalex.org/keywords/semantic-web","display_name":"Semantic Web","score":0.17646872997283936}],"concepts":[{"id":"https://openalex.org/C41009113","wikidata":"https://www.wikidata.org/wiki/Q54871","display_name":"SPARQL","level":4,"score":0.9439845085144043},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.889835000038147},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.8363795280456543},{"id":"https://openalex.org/C147497476","wikidata":"https://www.wikidata.org/wiki/Q54872","display_name":"RDF","level":3,"score":0.7721433043479919},{"id":"https://openalex.org/C2778476105","wikidata":"https://www.wikidata.org/wiki/Q628539","display_name":"Workload","level":2,"score":0.5828847885131836},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5402995347976685},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.4855055809020996},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4640120267868042},{"id":"https://openalex.org/C69075417","wikidata":"https://www.wikidata.org/wiki/Q515701","display_name":"Linked data","level":3,"score":0.42288652062416077},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.42122119665145874},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4191572666168213},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.37586596608161926},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.17646872997283936},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3308558.3313556","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3308558.3313556","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The World Wide Web Conference","raw_type":"proceedings-article"},{"id":"pmh:oai:real.mtak.hu:94731","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306400081","display_name":"Repository of the Academy's Library (Library of the Hungarian Academy of Sciences)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210140733","host_organization_name":"Library and Information Centre of the Hungarian Academy of Sciences","host_organization_lineage":["https://openalex.org/I4210140733"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Conference or Workshop Item"}],"best_oa_location":{"id":"doi:10.1145/3308558.3313556","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3308558.3313556","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The World Wide Web Conference","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W4921323","https://openalex.org/W771254491","https://openalex.org/W1539577603","https://openalex.org/W1544506957","https://openalex.org/W1651762147","https://openalex.org/W1810256132","https://openalex.org/W1823076153","https://openalex.org/W1839609872","https://openalex.org/W1983094331","https://openalex.org/W1989009626","https://openalex.org/W2009943424","https://openalex.org/W2015191210","https://openalex.org/W2059270055","https://openalex.org/W2061253631","https://openalex.org/W2067056571","https://openalex.org/W2070722739","https://openalex.org/W2077443691","https://openalex.org/W2086243891","https://openalex.org/W2113582899","https://openalex.org/W2160926845","https://openalex.org/W2170454550","https://openalex.org/W2201704585","https://openalex.org/W2474022715","https://openalex.org/W2527408229","https://openalex.org/W2578360098","https://openalex.org/W2764213199","https://openalex.org/W2780170305","https://openalex.org/W2783269277","https://openalex.org/W2787691610","https://openalex.org/W2796646122","https://openalex.org/W2806672620","https://openalex.org/W2963919031","https://openalex.org/W3099134950","https://openalex.org/W3104058381"],"related_works":["https://openalex.org/W199330785","https://openalex.org/W2615202182","https://openalex.org/W98016204","https://openalex.org/W2904139343","https://openalex.org/W2767591199","https://openalex.org/W2101525042","https://openalex.org/W2968129063","https://openalex.org/W2563388676","https://openalex.org/W3150241097","https://openalex.org/W4388184885"],"abstract_inverted_index":{"Triplestores":[0],"are":[1],"data":[2,87,163,169],"management":[3,170],"systems":[4],"for":[5,35,67],"storing":[6],"and":[7,88,112,117,148,164,166],"querying":[8],"RDF":[9],"data.":[10],"Over":[11],"recent":[12],"years,":[13],"various":[14,113],"benchmarks":[15,95],"have":[16],"been":[17],"proposed":[18],"to":[19,98,144,160],"assess":[20],"the":[21,31,60,86,92,105,108,133,146],"performance":[22,27],"of":[23,62,78,135,150],"triplestores":[24,37,49],"across":[25],"different":[26],"measures.":[28],"However,":[29],"choosing":[30],"most":[32],"suitable":[33],"benchmark":[34,66],"evaluating":[36],"in":[38,55,96],"practical":[39],"settings":[40],"is":[41,47],"not":[42],"a":[43,68,74,168],"trivial":[44],"task.":[45],"This":[46],"because":[48],"experience":[50],"varying":[51],"workloads":[52],"when":[53],"deployed":[54],"real":[56],"applications.":[57],"We":[58],"address":[59],"problem":[61],"determining":[63],"an":[64],"appropriate":[65],"given":[69],"real-life":[70],"workload":[71],"by":[72],"providing":[73],"fine-grained":[75,140],"comparative":[76],"analysis":[77],"existing":[79,93],"triplestore":[80,94],"benchmarks.":[81,137,153],"In":[82],"particular,":[83],"we":[84,103,142],"analyze":[85,161],"queries":[89,165],"provided":[90],"with":[91],"addition":[97],"several":[99,129],"real-world":[100],"datasets.":[101],"Furthermore,":[102],"measure":[104],"correlation":[106],"between":[107],"query":[109,115],"execution":[110],"time":[111],"SPARQL":[114],"features":[116,120],"rank":[118],"those":[119],"based":[121],"on":[122],"their":[123,162],"significance":[124],"levels.":[125],"Our":[126],"experiments":[127],"reveal":[128],"interesting":[130],"insights":[131],"about":[132],"design":[134,147],"such":[136],"With":[138],"this":[139],"evaluation,":[141],"aim":[143],"support":[145],"implementation":[149],"more":[151],"diverse":[152],"Application":[154],"developers":[155],"can":[156],"use":[157],"our":[158],"result":[159],"choose":[167],"system.":[171]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":17},{"year":2020,"cited_by_count":14},{"year":2019,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}