{"id":"https://openalex.org/W2062006348","doi":"https://doi.org/10.4018/ijdwm.2013100102","title":"Towards Big Linked Data","display_name":"Towards Big Linked Data","publication_year":2013,"publication_date":"2013-10-01","ids":{"openalex":"https://openalex.org/W2062006348","doi":"https://doi.org/10.4018/ijdwm.2013100102","mag":"2062006348"},"language":"en","primary_location":{"id":"doi:10.4018/ijdwm.2013100102","is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijdwm.2013100102","pdf_url":null,"source":{"id":"https://openalex.org/S53932126","display_name":"International Journal of Data Warehousing and Mining","issn_l":"1548-3924","issn":["1548-3924","1548-3932"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Data Warehousing and Mining","raw_type":"journal-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/A5100748123","display_name":"Bo Hu","orcid":"https://orcid.org/0000-0003-2485-7589"},"institutions":[{"id":"https://openalex.org/I4210153853","display_name":"Fujitsu (United Kingdom)","ror":"https://ror.org/053ny5136","country_code":"GB","type":"company","lineage":["https://openalex.org/I2252096349","https://openalex.org/I4210153853"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Bo Hu","raw_affiliation_strings":["Intelligent Society Platform Research Division, Fujitsu Laboratories of Europe Ltd (FLE), Hayes, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intelligent Society Platform Research Division, Fujitsu Laboratories of Europe Ltd (FLE), Hayes, UK","institution_ids":["https://openalex.org/I4210153853"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079201353","display_name":"Nuno Ramos Carvalho","orcid":"https://orcid.org/0000-0002-5270-2472"},"institutions":[{"id":"https://openalex.org/I4210153853","display_name":"Fujitsu (United Kingdom)","ror":"https://ror.org/053ny5136","country_code":"GB","type":"company","lineage":["https://openalex.org/I2252096349","https://openalex.org/I4210153853"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Nuno Carvalho","raw_affiliation_strings":["Intelligent Society Platform Research Division, Fujitsu Laboratories of Europe Ltd (FLE), Hayes, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intelligent Society Platform Research Division, Fujitsu Laboratories of Europe Ltd (FLE), Hayes, UK","institution_ids":["https://openalex.org/I4210153853"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048882066","display_name":"Takahide Matsutsuka","orcid":null},"institutions":[{"id":"https://openalex.org/I4210153853","display_name":"Fujitsu (United Kingdom)","ror":"https://ror.org/053ny5136","country_code":"GB","type":"company","lineage":["https://openalex.org/I2252096349","https://openalex.org/I4210153853"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Takahide Matsutsuka","raw_affiliation_strings":["Intelligent Society Platform Research Division, Fujitsu Laboratories of Europe Ltd (FLE), Hayes, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intelligent Society Platform Research Division, Fujitsu Laboratories of Europe Ltd (FLE), Hayes, UK","institution_ids":["https://openalex.org/I4210153853"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210153853"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.09860917,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"9","issue":"4","first_page":"19","last_page":"43"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.9994999766349792,"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":0.9994999766349792,"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/T10317","display_name":"Advanced Database Systems and Queries","score":0.9954000115394592,"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"}},{"id":"https://openalex.org/T11719","display_name":"Data Quality and Management","score":0.9876999855041504,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.9033443927764893},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.7162027359008789},{"id":"https://openalex.org/keywords/linked-data","display_name":"Linked data","score":0.658200204372406},{"id":"https://openalex.org/keywords/rdf","display_name":"RDF","score":0.6249073147773743},{"id":"https://openalex.org/keywords/semantic-computing","display_name":"Semantic computing","score":0.47153908014297485},{"id":"https://openalex.org/keywords/usability","display_name":"Usability","score":0.46018725633621216},{"id":"https://openalex.org/keywords/semantic-web","display_name":"Semantic Web","score":0.453548789024353},{"id":"https://openalex.org/keywords/semantic-data-model","display_name":"Semantic data model","score":0.44949695467948914},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4135032892227173},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.33579081296920776},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.28415119647979736},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.09914061427116394}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.9033443927764893},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.7162027359008789},{"id":"https://openalex.org/C69075417","wikidata":"https://www.wikidata.org/wiki/Q515701","display_name":"Linked data","level":3,"score":0.658200204372406},{"id":"https://openalex.org/C147497476","wikidata":"https://www.wikidata.org/wiki/Q54872","display_name":"RDF","level":3,"score":0.6249073147773743},{"id":"https://openalex.org/C511149849","wikidata":"https://www.wikidata.org/wiki/Q7449051","display_name":"Semantic computing","level":3,"score":0.47153908014297485},{"id":"https://openalex.org/C170130773","wikidata":"https://www.wikidata.org/wiki/Q216378","display_name":"Usability","level":2,"score":0.46018725633621216},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.453548789024353},{"id":"https://openalex.org/C90312973","wikidata":"https://www.wikidata.org/wiki/Q7449052","display_name":"Semantic data model","level":2,"score":0.44949695467948914},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4135032892227173},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.33579081296920776},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.28415119647979736},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.09914061427116394}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.4018/ijdwm.2013100102","is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijdwm.2013100102","pdf_url":null,"source":{"id":"https://openalex.org/S53932126","display_name":"International Journal of Data Warehousing and Mining","issn_l":"1548-3924","issn":["1548-3924","1548-3932"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Data Warehousing and Mining","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:igg:jdwm00:v:9:y:2013:i:4:p:19-43","is_oa":false,"landing_page_url":"https://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijdwm.2013100102","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"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W29606815","https://openalex.org/W136147141","https://openalex.org/W1486718420","https://openalex.org/W1549099081","https://openalex.org/W1555563750","https://openalex.org/W1575391024","https://openalex.org/W1964517503","https://openalex.org/W1966767672","https://openalex.org/W1997020216","https://openalex.org/W2004190499","https://openalex.org/W2015191210","https://openalex.org/W2020765652","https://openalex.org/W2071503531","https://openalex.org/W2072764742","https://openalex.org/W2084568010","https://openalex.org/W2087946700","https://openalex.org/W2089247435","https://openalex.org/W2114507260","https://openalex.org/W2119738171","https://openalex.org/W2123952359","https://openalex.org/W2156774188","https://openalex.org/W2160276892","https://openalex.org/W2167911783","https://openalex.org/W2171708479","https://openalex.org/W2173213060","https://openalex.org/W2341655714","https://openalex.org/W2399407902","https://openalex.org/W2612925439","https://openalex.org/W3146347964"],"related_works":["https://openalex.org/W2283287182","https://openalex.org/W82112649","https://openalex.org/W1485690712","https://openalex.org/W2058923328","https://openalex.org/W2776293731","https://openalex.org/W2610919777","https://openalex.org/W2965230088","https://openalex.org/W4293389049","https://openalex.org/W1534806717","https://openalex.org/W2283583215"],"abstract_inverted_index":{"In":[0,111],"light":[1],"of":[2,5,56,68,124,179,185,187,189],"the":[3,10,18,65,71,83,98,114,149,162,180,183],"challenges":[4],"effectively":[6],"managing":[7],"Big":[8,57,72,89],"Data,":[9],"authors":[11,115,135,150],"are":[12,49],"witnessing":[13],"a":[14,30,117,153],"gradual":[15],"shift":[16],"towards":[17],"increasingly":[19],"popular":[20],"Linked":[21],"Open":[22],"Data":[23,58,73,90],"(LOD)":[24],"paradigm.":[25],"LOD":[26,60,69,120],"aims":[27],"to":[28,121,160],"impose":[29],"machine-readable":[31],"semantic":[32,66,95,139,155],"layer":[33,67],"over":[34],"structured":[35],"as":[36,38,191,193],"well":[37,192],"unstructured":[39],"data":[40,45,85,109,127,168],"and":[41,59,70,148,166,198],"hence":[42],"automate":[43],"some":[44],"analysis":[46],"tasks":[47],"that":[48],"not":[50,63,78],"designed":[51],"for":[52],"computers.":[53],"The":[54,134,170],"convergence":[55],"is,":[61],"however,":[62],"straightforward:":[64],"large":[74],"scale":[75],"storage":[76,146],"do":[77],"get":[79],"along":[80],"easily.":[81],"Meanwhile,":[82],"sheer":[84],"size":[86],"envisioned":[87],"by":[88],"denies":[91],"certain":[92],"computationally":[93],"expensive":[94],"technologies,":[96],"rendering":[97],"latter":[99],"much":[100],"less":[101],"efficient":[102],"than":[103],"their":[104],"performance":[105,199],"on":[106,164,176],"relatively":[107],"small":[108],"sets.":[110],"this":[112],"paper,":[113],"propose":[116],"mechanism":[118],"allowing":[119],"take":[122],"advantage":[123],"existing":[125],"large-scale":[126],"stores":[128],"while":[129],"sustaining":[130],"its":[131],"\u201csemantic\u201d":[132],"nature.":[133],"demonstrate":[136],"how":[137,152],"RDF-based":[138],"models":[140],"can":[141,157],"be":[142,158],"distributed":[143,165],"across":[144],"multiple":[145],"servers":[147],"examine":[151],"fundamental":[154],"operation":[156],"tuned":[159],"meet":[161],"requirements":[163],"parallel":[167],"processing.":[169],"authors'":[171],"future":[172],"work":[173],"will":[174],"focus":[175],"stress":[177],"test":[178],"platform":[181],"in":[182,196],"magnitude":[184],"tens":[186],"billions":[188],"triples,":[190],"comparative":[194],"studies":[195],"usability":[197],"against":[200],"similar":[201],"offerings.":[202]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-06-11T06:19:23.411458","created_date":"2025-10-10T00:00:00"}