{"id":"https://openalex.org/W2745151045","doi":"https://doi.org/10.1145/3106426.3106534","title":"Efficient processing of SPARQL queries over GraphFrames","display_name":"Efficient processing of SPARQL queries over GraphFrames","publication_year":2017,"publication_date":"2017-08-10","ids":{"openalex":"https://openalex.org/W2745151045","doi":"https://doi.org/10.1145/3106426.3106534","mag":"2745151045"},"language":"en","primary_location":{"id":"doi:10.1145/3106426.3106534","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3106426.3106534","pdf_url":null,"source":{"id":"https://openalex.org/S4306524158","display_name":"Proceedings of the International Conference on Web Intelligence","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Web Intelligence","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/A5038891385","display_name":"Ramazan Ali Bahrami","orcid":null},"institutions":[{"id":"https://openalex.org/I90425906","display_name":"South Asian University","ror":"https://ror.org/02kjyst95","country_code":"IN","type":"education","lineage":["https://openalex.org/I90425906"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Ramazan Ali Bahrami","raw_affiliation_strings":["South Asian University, Delhi, India"],"affiliations":[{"raw_affiliation_string":"South Asian University, Delhi, India","institution_ids":["https://openalex.org/I90425906"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031675652","display_name":"Jayati Gulati","orcid":null},"institutions":[{"id":"https://openalex.org/I90425906","display_name":"South Asian University","ror":"https://ror.org/02kjyst95","country_code":"IN","type":"education","lineage":["https://openalex.org/I90425906"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Jayati Gulati","raw_affiliation_strings":["South Asian University, Delhi, India"],"affiliations":[{"raw_affiliation_string":"South Asian University, Delhi, India","institution_ids":["https://openalex.org/I90425906"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079913042","display_name":"Muhammad Abulaish","orcid":"https://orcid.org/0000-0003-3387-4743"},"institutions":[{"id":"https://openalex.org/I90425906","display_name":"South Asian University","ror":"https://ror.org/02kjyst95","country_code":"IN","type":"education","lineage":["https://openalex.org/I90425906"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Muhammad Abulaish","raw_affiliation_strings":["South Asian University, Delhi, India"],"affiliations":[{"raw_affiliation_string":"South Asian University, Delhi, India","institution_ids":["https://openalex.org/I90425906"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5038891385"],"corresponding_institution_ids":["https://openalex.org/I90425906"],"apc_list":null,"apc_paid":null,"fwci":0.2955,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.63884058,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"678","last_page":"685"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12292","display_name":"Graph Theory and Algorithms","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T12292","display_name":"Graph Theory and Algorithms","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9921000003814697,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9882000088691711,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.9029238224029541},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8669116497039795},{"id":"https://openalex.org/keywords/rdf","display_name":"RDF","score":0.6455093622207642},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5521970987319946},{"id":"https://openalex.org/keywords/linked-data","display_name":"Linked data","score":0.5471630692481995},{"id":"https://openalex.org/keywords/graph-database","display_name":"Graph database","score":0.5042892694473267},{"id":"https://openalex.org/keywords/query-optimization","display_name":"Query optimization","score":0.47976455092430115},{"id":"https://openalex.org/keywords/named-graph","display_name":"Named graph","score":0.4626513421535492},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.454096257686615},{"id":"https://openalex.org/keywords/sql","display_name":"SQL","score":0.43955257534980774},{"id":"https://openalex.org/keywords/query-language","display_name":"Query language","score":0.4150099754333496},{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.41496551036834717},{"id":"https://openalex.org/keywords/rdf-query-language","display_name":"RDF query language","score":0.4101332128047943},{"id":"https://openalex.org/keywords/semantic-web","display_name":"Semantic Web","score":0.3793792724609375},{"id":"https://openalex.org/keywords/web-search-query","display_name":"Web search query","score":0.3749053478240967},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.35117265582084656},{"id":"https://openalex.org/keywords/web-query-classification","display_name":"Web query classification","score":0.2728424668312073},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.21762719750404358},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.19020819664001465}],"concepts":[{"id":"https://openalex.org/C41009113","wikidata":"https://www.wikidata.org/wiki/Q54871","display_name":"SPARQL","level":4,"score":0.9029238224029541},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8669116497039795},{"id":"https://openalex.org/C147497476","wikidata":"https://www.wikidata.org/wiki/Q54872","display_name":"RDF","level":3,"score":0.6455093622207642},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5521970987319946},{"id":"https://openalex.org/C69075417","wikidata":"https://www.wikidata.org/wiki/Q515701","display_name":"Linked data","level":3,"score":0.5471630692481995},{"id":"https://openalex.org/C176225458","wikidata":"https://www.wikidata.org/wiki/Q595971","display_name":"Graph database","level":3,"score":0.5042892694473267},{"id":"https://openalex.org/C157692150","wikidata":"https://www.wikidata.org/wiki/Q2919848","display_name":"Query optimization","level":2,"score":0.47976455092430115},{"id":"https://openalex.org/C110893760","wikidata":"https://www.wikidata.org/wiki/Q3115590","display_name":"Named graph","level":5,"score":0.4626513421535492},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.454096257686615},{"id":"https://openalex.org/C510870499","wikidata":"https://www.wikidata.org/wiki/Q47607","display_name":"SQL","level":2,"score":0.43955257534980774},{"id":"https://openalex.org/C192028432","wikidata":"https://www.wikidata.org/wiki/Q845739","display_name":"Query language","level":2,"score":0.4150099754333496},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.41496551036834717},{"id":"https://openalex.org/C96956885","wikidata":"https://www.wikidata.org/wiki/Q6138701","display_name":"RDF query language","level":5,"score":0.4101332128047943},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.3793792724609375},{"id":"https://openalex.org/C164120249","wikidata":"https://www.wikidata.org/wiki/Q995982","display_name":"Web search query","level":3,"score":0.3749053478240967},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.35117265582084656},{"id":"https://openalex.org/C118689300","wikidata":"https://www.wikidata.org/wiki/Q7978614","display_name":"Web query classification","level":4,"score":0.2728424668312073},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.21762719750404358},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.19020819664001465}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3106426.3106534","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3106426.3106534","pdf_url":null,"source":{"id":"https://openalex.org/S4306524158","display_name":"Proceedings of the International Conference on Web Intelligence","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Web Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth","score":0.4099999964237213}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W78077100","https://openalex.org/W1529537138","https://openalex.org/W1533841329","https://openalex.org/W1815611020","https://openalex.org/W1966767672","https://openalex.org/W1982003698","https://openalex.org/W1989009626","https://openalex.org/W1997856897","https://openalex.org/W2041176939","https://openalex.org/W2095178814","https://openalex.org/W2098636939","https://openalex.org/W2121041488","https://openalex.org/W2127199904","https://openalex.org/W2143460123","https://openalex.org/W2170616854","https://openalex.org/W2404572461","https://openalex.org/W2491983741","https://openalex.org/W2496420747","https://openalex.org/W2536669075","https://openalex.org/W2584112015","https://openalex.org/W3192290435"],"related_works":["https://openalex.org/W2416869599","https://openalex.org/W2494918970","https://openalex.org/W2363838908","https://openalex.org/W3086848874","https://openalex.org/W1596232896","https://openalex.org/W3150241097","https://openalex.org/W4362598466","https://openalex.org/W2294446864","https://openalex.org/W2053816230","https://openalex.org/W2901443306"],"abstract_inverted_index":{"With":[0],"the":[1,56,97,160],"advent":[2],"of":[3,27,58,89,92,99,120,162,207],"huge":[4,49,90],"data":[5,18,73],"management":[6],"systems":[7],"storing":[8],"voluminous":[9],"data,":[10,94],"there":[11],"arises":[12],"a":[13,40,67,84,124],"need":[14],"to":[15,70,87,134,159,192,219],"develop":[16],"efficient":[17,114,200],"analytics":[19],"techniques":[20],"for":[21,35,113,211],"knowledge":[22],"discovery":[23],"at":[24],"different":[25,110],"levels":[26],"granularity.":[28],"Resource":[29],"Description":[30],"Framework":[31],"(RDF),":[32],"mainly":[33],"developed":[34,133],"Semantic":[36],"Web,":[37],"is":[38,64,143],"presumably":[39],"good":[41],"option":[42],"when":[43],"considering":[44],"graph":[45,72,101,121,139],"databases":[46],"dealing":[47],"with":[48],"real-world":[50],"data.":[51,122,140],"RDF":[52],"models":[53],"information":[54],"in":[55,96,106,198,205,224],"form":[57,98],"triples":[59],"<subject,":[60],"predicate,":[61],"object>,":[62],"and":[63,130,147,188,216],"considered":[65],"as":[66,83],"useful":[68],"tool":[69],"store":[71],"(aka":[74],"linked":[75,93],"data)":[76],"where":[77],"each":[78],"edge":[79],"can":[80],"be":[81],"stored":[82],"triple.":[85],"Due":[86],"existence":[88],"amount":[91],"mostly":[95],"graphs,":[100],"mining":[102],"has":[103,153,170],"been":[104,154,172],"successful":[105],"attracting":[107],"researchers":[108],"from":[109],"research":[111,222],"fields":[112],"handling":[115],"(storage,":[116],"indexing,":[117],"retrieval,":[118],"etc.)":[119],"As":[123],"result,":[125],"various":[126],"APIs":[127],"like":[128],"GraphX":[129,142,152],"GraphFrames":[131,146,169,197],"are":[132,214],"facilitate":[135],"relational":[136],"queries":[137,150,195],"over":[138,151,168,196],"Though":[141],"older":[144],"than":[145],"processing":[148,167],"SPARQL":[149,165,194],"explored":[155,173],"by":[156],"some":[157],"researchers,":[158],"best":[161],"our":[163],"knowledge,":[164],"query":[166,189,212],"not":[171],"yet.":[174],"In":[175],"this":[176,225],"paper,":[177],"we":[178],"present":[179],"an":[180,199],"initial":[181],"study":[182],"on":[183],"query-specific":[184],"search":[185],"space":[186],"pruning":[187],"optimization":[190],"approach":[191],"process":[193],"manner.":[201],"The":[202],"experimental":[203],"results,":[204],"terms":[206],"low":[208],"response":[209],"time":[210],"execution,":[213],"encouraging,":[215],"give":[217],"way":[218],"invest":[220],"more":[221],"efforts":[223],"direction.":[226]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2026-02-27T16:54:17.756197","created_date":"2025-10-10T00:00:00"}