{"id":"https://openalex.org/W2034651153","doi":"https://doi.org/10.1109/icde.2008.4497539","title":"A Scalable Scheme for Bulk Loading Large RDF Graphs into Oracle","display_name":"A Scalable Scheme for Bulk Loading Large RDF Graphs into Oracle","publication_year":2008,"publication_date":"2008-04-01","ids":{"openalex":"https://openalex.org/W2034651153","doi":"https://doi.org/10.1109/icde.2008.4497539","mag":"2034651153"},"language":"en","primary_location":{"id":"doi:10.1109/icde.2008.4497539","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icde.2008.4497539","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE 24th International Conference on Data Engineering","raw_type":"proceedings-article"},"type":"conference-paper","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/A5101134579","display_name":"Souripriya Das","orcid":null},"institutions":[{"id":"https://openalex.org/I1342911587","display_name":"Oracle (United States)","ror":"https://ror.org/006c77m33","country_code":"US","type":"company","lineage":["https://openalex.org/I1342911587"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Souripriya Das","raw_affiliation_strings":["Oracle Corporation, Nashua, NH, USA","Oracle, Nashua, NH#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Oracle Corporation, Nashua, NH, USA","institution_ids":["https://openalex.org/I1342911587"]},{"raw_affiliation_string":"Oracle, Nashua, NH#TAB#","institution_ids":["https://openalex.org/I1342911587"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088658114","display_name":"Eugene Inseok Chong","orcid":null},"institutions":[{"id":"https://openalex.org/I1342911587","display_name":"Oracle (United States)","ror":"https://ror.org/006c77m33","country_code":"US","type":"company","lineage":["https://openalex.org/I1342911587"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Eugene Inseok Chong","raw_affiliation_strings":["Oracle Corporation, Nashua, NH, USA","Oracle, Nashua, NH#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Oracle Corporation, Nashua, NH, USA","institution_ids":["https://openalex.org/I1342911587"]},{"raw_affiliation_string":"Oracle, Nashua, NH#TAB#","institution_ids":["https://openalex.org/I1342911587"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101421907","display_name":"Zhe Wu","orcid":"https://orcid.org/0000-0001-9009-1089"},"institutions":[{"id":"https://openalex.org/I1342911587","display_name":"Oracle (United States)","ror":"https://ror.org/006c77m33","country_code":"US","type":"company","lineage":["https://openalex.org/I1342911587"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhe Wu","raw_affiliation_strings":["Oracle Corporation, Nashua, NH, USA","Oracle, Nashua, NH#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Oracle Corporation, Nashua, NH, USA","institution_ids":["https://openalex.org/I1342911587"]},{"raw_affiliation_string":"Oracle, Nashua, NH#TAB#","institution_ids":["https://openalex.org/I1342911587"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068741207","display_name":"Melliyal Annamalai","orcid":null},"institutions":[{"id":"https://openalex.org/I1342911587","display_name":"Oracle (United States)","ror":"https://ror.org/006c77m33","country_code":"US","type":"company","lineage":["https://openalex.org/I1342911587"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Melliyal Annamalai","raw_affiliation_strings":["Oracle Corporation, Nashua, NH, USA","Oracle, Nashua, NH#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Oracle Corporation, Nashua, NH, USA","institution_ids":["https://openalex.org/I1342911587"]},{"raw_affiliation_string":"Oracle, Nashua, NH#TAB#","institution_ids":["https://openalex.org/I1342911587"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085227942","display_name":"Jagannathan Srinivasan","orcid":"https://orcid.org/0000-0002-1435-4374"},"institutions":[{"id":"https://openalex.org/I1342911587","display_name":"Oracle (United States)","ror":"https://ror.org/006c77m33","country_code":"US","type":"company","lineage":["https://openalex.org/I1342911587"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jagannathan Srinivasan","raw_affiliation_strings":["Oracle Corporation, Nashua, NH, USA","Oracle, Nashua, NH#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Oracle Corporation, Nashua, NH, USA","institution_ids":["https://openalex.org/I1342911587"]},{"raw_affiliation_string":"Oracle, Nashua, NH#TAB#","institution_ids":["https://openalex.org/I1342911587"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I1342911587"],"apc_list":null,"apc_paid":null,"fwci":1.5108,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.82224017,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1297","last_page":"1306"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.9998000264167786,"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":0.9998000264167786,"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/T10679","display_name":"Service-Oriented Architecture and Web Services","score":0.9968000054359436,"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"}},{"id":"https://openalex.org/T11986","display_name":"Scientific Computing and Data Management","score":0.9926999807357788,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/rdf","display_name":"RDF","score":0.8392523527145386},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.75397789478302},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6490100622177124},{"id":"https://openalex.org/keywords/cwm","display_name":"Cwm","score":0.6224949359893799},{"id":"https://openalex.org/keywords/rdf-schema","display_name":"RDF Schema","score":0.5254536867141724},{"id":"https://openalex.org/keywords/oracle","display_name":"Oracle","score":0.44652867317199707},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4358461797237396},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.42470836639404297},{"id":"https://openalex.org/keywords/sparql","display_name":"SPARQL","score":0.3755684792995453},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.36841481924057007},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3379369378089905},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.2772296667098999},{"id":"https://openalex.org/keywords/semantic-web","display_name":"Semantic Web","score":0.1805909276008606},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.1749020218849182},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.15536507964134216},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13293346762657166}],"concepts":[{"id":"https://openalex.org/C147497476","wikidata":"https://www.wikidata.org/wiki/Q54872","display_name":"RDF","level":3,"score":0.8392523527145386},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.75397789478302},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6490100622177124},{"id":"https://openalex.org/C157595922","wikidata":"https://www.wikidata.org/wiki/Q50745537","display_name":"Cwm","level":5,"score":0.6224949359893799},{"id":"https://openalex.org/C15657843","wikidata":"https://www.wikidata.org/wiki/Q1751819","display_name":"RDF Schema","level":5,"score":0.5254536867141724},{"id":"https://openalex.org/C55166926","wikidata":"https://www.wikidata.org/wiki/Q2892946","display_name":"Oracle","level":2,"score":0.44652867317199707},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4358461797237396},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.42470836639404297},{"id":"https://openalex.org/C41009113","wikidata":"https://www.wikidata.org/wiki/Q54871","display_name":"SPARQL","level":4,"score":0.3755684792995453},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.36841481924057007},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3379369378089905},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.2772296667098999},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.1805909276008606},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.1749020218849182},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.15536507964134216},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13293346762657166},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icde.2008.4497539","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icde.2008.4497539","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE 24th International Conference on Data Engineering","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1550571039","https://openalex.org/W1603311785","https://openalex.org/W1639305476","https://openalex.org/W1989009626","https://openalex.org/W2066580290","https://openalex.org/W2166332730","https://openalex.org/W2916086000","https://openalex.org/W3145042860","https://openalex.org/W4234126637","https://openalex.org/W6632879891","https://openalex.org/W6636194147"],"related_works":["https://openalex.org/W2602535883","https://openalex.org/W4301152651","https://openalex.org/W4206665951","https://openalex.org/W4296056063","https://openalex.org/W3107051279","https://openalex.org/W2476635466","https://openalex.org/W2563388676","https://openalex.org/W2887413659","https://openalex.org/W1457896250","https://openalex.org/W3082761338"],"abstract_inverted_index":{"The":[0,65,103],"growth":[1],"of":[2,29,40,72,85,93,100,112],"RDF":[3,14,32,49,56,86,114],"data":[4,92],"makes":[5],"it":[6],"imperative":[7],"that":[8,25],"an":[9,47],"efficient":[10],"mechanism":[11],"for":[12],"bulk-loading":[13],"graphs":[15,33,87],"be":[16],"supported.":[17],"Thus,":[18],"the":[19,78,98,101,106,117],"paper":[20,104],"proposes":[21],"a":[22,35,54,83,125],"bulk-load":[23,66,118],"scheme":[24,67],"allows":[26],"fast":[27],"loading":[28,45,111],"arbitrarily":[30],"large":[31,113],"into":[34,46,62],"database.":[36],"Specifically,":[37],"three":[38],"modes":[39],"load":[41],"are":[42],"supported:":[43],"i)":[44],"empty":[48],"graph,":[50,57],"ii)":[51],"appending":[52],"to":[53],"non-empty":[55],"and":[58,77,90,123],"iii)":[59],"concurrent":[60],"loads":[61],"multiple":[63],"graphs.":[64],"is":[68],"implemented":[69],"as":[70],"part":[71],"Oracle":[73],"database":[74],"semantic":[75],"technologies":[76],"performance":[79,126],"experiments":[80],"conducted":[81],"with":[82],"variety":[84],"(from":[88],"UniProt":[89],"synthesized":[91],"Lehigh":[94],"University":[95],"Benchmark)":[96],"demonstrate":[97],"scalability":[99],"approach.":[102],"outlines":[105],"challenges":[107],"involved":[108],"in":[109],"bulk-":[110],"graphs,":[115],"describes":[116],"scheme,":[119],"discusses":[120],"its":[121],"implementation,":[122],"presents":[124],"study.":[127]},"counts_by_year":[{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}