{"id":"https://openalex.org/W2999706503","doi":"https://doi.org/10.1145/3297662.3365806","title":"Divide and Conquer Technique for Large Linked Datasets","display_name":"Divide and Conquer Technique for Large Linked Datasets","publication_year":2019,"publication_date":"2019-11-12","ids":{"openalex":"https://openalex.org/W2999706503","doi":"https://doi.org/10.1145/3297662.3365806","mag":"2999706503"},"language":"en","primary_location":{"id":"doi:10.1145/3297662.3365806","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3297662.3365806","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 11th International Conference on Management of Digital EcoSystems","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/A5085224335","display_name":"Maria Krommyda","orcid":"https://orcid.org/0000-0002-2121-1371"},"institutions":[{"id":"https://openalex.org/I174458059","display_name":"National Technical University of Athens","ror":"https://ror.org/03cx6bg69","country_code":"GR","type":"education","lineage":["https://openalex.org/I174458059"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Maria Krommyda","raw_affiliation_strings":["School of Electrical and Computer, Engineering National Technical University of Athens, Athens, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer, Engineering National Technical University of Athens, Athens, Greece","institution_ids":["https://openalex.org/I174458059"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079101020","display_name":"Verena Kantere","orcid":"https://orcid.org/0000-0002-3586-9406"},"institutions":[{"id":"https://openalex.org/I174458059","display_name":"National Technical University of Athens","ror":"https://ror.org/03cx6bg69","country_code":"GR","type":"education","lineage":["https://openalex.org/I174458059"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Verena Kantere","raw_affiliation_strings":["School of Electrical and Computer, Engineering National Technical University of Athens, Athens, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer, Engineering National Technical University of Athens, Athens, Greece","institution_ids":["https://openalex.org/I174458059"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064966524","display_name":"Yannis Vassiliou","orcid":"https://orcid.org/0000-0002-5774-7784"},"institutions":[{"id":"https://openalex.org/I174458059","display_name":"National Technical University of Athens","ror":"https://ror.org/03cx6bg69","country_code":"GR","type":"education","lineage":["https://openalex.org/I174458059"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Yannis Vassiliou","raw_affiliation_strings":["School of Electrical and Computer, Engineering National Technical University of Athens, Athens, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer, Engineering National Technical University of Athens, Athens, Greece","institution_ids":["https://openalex.org/I174458059"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.21102228,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"120","last_page":"125"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10317","display_name":"Advanced Database Systems and Queries","score":0.9993000030517578,"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"}},"topics":[{"id":"https://openalex.org/T10317","display_name":"Advanced Database Systems and Queries","score":0.9993000030517578,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.9980999827384949,"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/T11106","display_name":"Data Management and Algorithms","score":0.9980999827384949,"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/exploit","display_name":"Exploit","score":0.9119304418563843},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8698440790176392},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.7879005670547485},{"id":"https://openalex.org/keywords/divide-and-conquer-algorithms","display_name":"Divide and conquer algorithms","score":0.7373432517051697},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5646898150444031},{"id":"https://openalex.org/keywords/volume","display_name":"Volume (thermodynamics)","score":0.5635911822319031},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.529453456401825},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5221400856971741},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38802385330200195},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.38044196367263794},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3642851710319519},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.10715669393539429}],"concepts":[{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.9119304418563843},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8698440790176392},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.7879005670547485},{"id":"https://openalex.org/C71559656","wikidata":"https://www.wikidata.org/wiki/Q671298","display_name":"Divide and conquer algorithms","level":2,"score":0.7373432517051697},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5646898150444031},{"id":"https://openalex.org/C20556612","wikidata":"https://www.wikidata.org/wiki/Q4469374","display_name":"Volume (thermodynamics)","level":2,"score":0.5635911822319031},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.529453456401825},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5221400856971741},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38802385330200195},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.38044196367263794},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3642851710319519},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.10715669393539429},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3297662.3365806","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3297662.3365806","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 11th International Conference on Management of Digital EcoSystems","raw_type":"proceedings-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/W85492182","https://openalex.org/W102082939","https://openalex.org/W162603765","https://openalex.org/W1545785301","https://openalex.org/W1576094819","https://openalex.org/W1619516385","https://openalex.org/W1695188072","https://openalex.org/W1811370290","https://openalex.org/W1916339519","https://openalex.org/W1982301608","https://openalex.org/W2004422953","https://openalex.org/W2012847278","https://openalex.org/W2043691334","https://openalex.org/W2050980365","https://openalex.org/W2075220720","https://openalex.org/W2088542749","https://openalex.org/W2091181883","https://openalex.org/W2112292067","https://openalex.org/W2131548207","https://openalex.org/W2133781513","https://openalex.org/W2152468160","https://openalex.org/W2162755115","https://openalex.org/W2187772128","https://openalex.org/W2222737183","https://openalex.org/W2293828766","https://openalex.org/W2296554289","https://openalex.org/W2397148902","https://openalex.org/W2399591545","https://openalex.org/W2399772542"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W4312814274","https://openalex.org/W1590307681","https://openalex.org/W2536018345","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W2358353312","https://openalex.org/W2353836703"],"abstract_inverted_index":{"Significant":[0],"effort":[1],"has":[2,158],"been":[3,34,159],"dedicated":[4],"in":[5,73,96,118,161],"recent":[6],"years":[7],"to":[8,17,66,70,102,145],"the":[9,18,21,26,38,49,60,68,71,81,86,109,127,142,162],"exploitation":[10,110],"of":[11,20,28,40,59,85,111,123,126,164,167],"very":[12,114,168],"large":[13,115,169],"linked":[14,116,170],"datasets":[15,42,117,171],"due":[16],"importance":[19],"information":[22,46,69,88],"they":[23],"contain":[24],"and":[25,83,91,113,136,153],"increase":[27],"their":[29,45],"availability.":[30],"Some":[31],"techniques":[32],"have":[33],"developed":[35],"that":[36,80,106,139],"handle":[37],"volume":[39,82],"these":[41],"by":[43],"aggregating":[44],"based":[47],"on":[48],"data":[50],"structure":[51],"or":[52],"model.":[53],"Other":[54],"approaches":[55],"exploit":[56,146],"specific":[57],"characteristics":[58,125],"datasets,":[61],"such":[62],"as":[63,172],"semantic":[64],"annotations,":[65],"present":[67,131],"users":[72,93],"semantically":[74],"defined":[75],"ways.":[76],"In":[77],"an":[78],"era":[79],"diversity":[84],"available":[87],"increases":[89],"exponentially":[90],"more":[92],"are":[94],"interested":[95],"exploring":[97],"it,":[98],"it":[99],"is":[100],"crucial":[101],"provide":[103],"a":[104,119,133],"technique":[105,138,157],"will":[107],"allow":[108],"diverse":[112],"scalable":[120],"way":[121],"independent":[122],"any":[124,147],"input":[128,148],"dataset.":[129],"We":[130],"here":[132],"generic":[134],"divide":[135],"conquer":[137],"can":[140],"offer":[141],"required":[143],"scalability":[144],"dataset":[149],"regardless":[150],"its":[151],"size":[152],"characteristics.":[154],"The":[155],"proposed":[156],"tested":[160],"context":[163],"interactive":[165],"representation":[166],"graphs.":[173]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}