{"id":"https://openalex.org/W1987096523","doi":"https://doi.org/10.1109/35021bigcomp.2015.7072815","title":"Scalable OWL-Horst ontology reasoning using SPARK","display_name":"Scalable OWL-Horst ontology reasoning using SPARK","publication_year":2015,"publication_date":"2015-02-01","ids":{"openalex":"https://openalex.org/W1987096523","doi":"https://doi.org/10.1109/35021bigcomp.2015.7072815","mag":"1987096523"},"language":"en","primary_location":{"id":"doi:10.1109/35021bigcomp.2015.7072815","is_oa":false,"landing_page_url":"https://doi.org/10.1109/35021bigcomp.2015.7072815","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on Big Data and Smart Computing (BIGCOMP)","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/A5007056115","display_name":"Jemin Kim","orcid":"https://orcid.org/0000-0001-6628-3507"},"institutions":[{"id":"https://openalex.org/I141371507","display_name":"Soongsil University","ror":"https://ror.org/017xnm587","country_code":"KR","type":"education","lineage":["https://openalex.org/I141371507"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Je-Min Kim","raw_affiliation_strings":["School of Computing, SSU, Seoul, Korea","School of Computing, Soongsil University, SSU, Seoul, Korea"],"affiliations":[{"raw_affiliation_string":"School of Computing, SSU, Seoul, Korea","institution_ids":[]},{"raw_affiliation_string":"School of Computing, Soongsil University, SSU, Seoul, Korea","institution_ids":["https://openalex.org/I141371507"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016740388","display_name":"Young-Tack Park","orcid":null},"institutions":[{"id":"https://openalex.org/I141371507","display_name":"Soongsil University","ror":"https://ror.org/017xnm587","country_code":"KR","type":"education","lineage":["https://openalex.org/I141371507"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Young-Tack Park","raw_affiliation_strings":["School of Computing, SSU, Seoul, Korea","School of Computing, Soongsil University, SSU, Seoul, Korea"],"affiliations":[{"raw_affiliation_string":"School of Computing, SSU, Seoul, Korea","institution_ids":[]},{"raw_affiliation_string":"School of Computing, Soongsil University, SSU, Seoul, Korea","institution_ids":["https://openalex.org/I141371507"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5007056115"],"corresponding_institution_ids":["https://openalex.org/I141371507"],"apc_list":null,"apc_paid":null,"fwci":3.5586,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.93520801,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"96","issue":null,"first_page":"79","last_page":"86"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9959999918937683,"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":0.9944000244140625,"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":0.8527871370315552},{"id":"https://openalex.org/keywords/ontology","display_name":"Ontology","score":0.7354533672332764},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6848428845405579},{"id":"https://openalex.org/keywords/horst","display_name":"Horst","score":0.5335612297058105},{"id":"https://openalex.org/keywords/spark","display_name":"SPARK (programming language)","score":0.508637547492981},{"id":"https://openalex.org/keywords/reasoning-system","display_name":"Reasoning system","score":0.45549994707107544},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4442584216594696},{"id":"https://openalex.org/keywords/semantic-reasoner","display_name":"Semantic reasoner","score":0.4392366111278534},{"id":"https://openalex.org/keywords/web-ontology-language","display_name":"Web Ontology Language","score":0.42258214950561523},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3618048429489136},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3473967909812927},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32940375804901123},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.248567134141922},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.23417413234710693},{"id":"https://openalex.org/keywords/semantic-web","display_name":"Semantic Web","score":0.21543148159980774}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8527871370315552},{"id":"https://openalex.org/C25810664","wikidata":"https://www.wikidata.org/wiki/Q44325","display_name":"Ontology","level":2,"score":0.7354533672332764},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6848428845405579},{"id":"https://openalex.org/C2776074449","wikidata":"https://www.wikidata.org/wiki/Q212136","display_name":"Horst","level":3,"score":0.5335612297058105},{"id":"https://openalex.org/C2781215313","wikidata":"https://www.wikidata.org/wiki/Q3493345","display_name":"SPARK (programming language)","level":2,"score":0.508637547492981},{"id":"https://openalex.org/C89288958","wikidata":"https://www.wikidata.org/wiki/Q7301504","display_name":"Reasoning system","level":2,"score":0.45549994707107544},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4442584216594696},{"id":"https://openalex.org/C9616225","wikidata":"https://www.wikidata.org/wiki/Q3929429","display_name":"Semantic reasoner","level":2,"score":0.4392366111278534},{"id":"https://openalex.org/C101230327","wikidata":"https://www.wikidata.org/wiki/Q826165","display_name":"Web Ontology Language","level":3,"score":0.42258214950561523},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3618048429489136},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3473967909812927},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32940375804901123},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.248567134141922},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.23417413234710693},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.21543148159980774},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C77928131","wikidata":"https://www.wikidata.org/wiki/Q193343","display_name":"Tectonics","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/35021bigcomp.2015.7072815","is_oa":false,"landing_page_url":"https://doi.org/10.1109/35021bigcomp.2015.7072815","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on Big Data and Smart Computing (BIGCOMP)","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":14,"referenced_works":["https://openalex.org/W139763282","https://openalex.org/W1482585805","https://openalex.org/W1497089708","https://openalex.org/W1537716277","https://openalex.org/W1983077505","https://openalex.org/W2100515808","https://openalex.org/W2131975293","https://openalex.org/W2137079713","https://openalex.org/W2154829072","https://openalex.org/W3101974058","https://openalex.org/W6628799515","https://openalex.org/W6629942049","https://openalex.org/W6632182452","https://openalex.org/W6679815717"],"related_works":["https://openalex.org/W201976190","https://openalex.org/W69255764","https://openalex.org/W2789599594","https://openalex.org/W2285041248","https://openalex.org/W1759289205","https://openalex.org/W2896002290","https://openalex.org/W2583641166","https://openalex.org/W119226878","https://openalex.org/W2398931073","https://openalex.org/W2472715646"],"abstract_inverted_index":{"In":[0],"this":[1,69],"paper,":[2],"we":[3,71,107,165],"present":[4],"an":[5,73,101],"approach":[6,74,187],"to":[7,78,168,197],"perform":[8,153],"reasoning":[9,21,52,60,105,134,155],"for":[10,25,40,178],"scalable":[11,27],"OWL":[12,102],"ontologies":[13],"in":[14,80],"a":[15,26,89,110,147],"Hadoop-based":[16],"distributed":[17,148,154],"computing":[18,92,149],"cluster.":[19],"Rule-based":[20],"is":[22,61,175,190],"typically":[23],"used":[24],"OWL-Horst":[28],"reasoning;":[29],"typically,":[30],"the":[31,51,128,133,142,162,171,201],"system":[32],"repeatedly":[33],"performs":[34],"many":[35],"operations":[36],"involving":[37],"semantic":[38],"axioms":[39],"big":[41],"ontology":[42,59,97,104,180],"triples":[43,77,119],"until":[44],"no":[45],"further":[46],"inferred":[47],"data":[48],"exists.":[49],"Thus,":[50],"systems":[53],"suffer":[54],"from":[55],"performance":[56],"limitations":[57],"when":[58],"performed":[62],"via":[63],"disk-based":[64],"MapReduce":[65],"approaches.":[66],"To":[67,99,160],"overcome":[68],"drawback,":[70],"propose":[72],"that":[75,83,115],"loads":[76],"memory":[79,143],"computer":[81],"nodes":[82],"are":[84],"connected":[85],"by":[86,156,192],"SPARK":[87],"-":[88,94],"memory-based":[90],"cluster":[91,150],"platform":[93],"and":[95,130,151,182],"executes":[96],"reasoning.":[98],"implement":[100],"Horst":[103],"system,":[106],"first":[108],"define":[109],"set":[111],"of":[112,132,144],"algorithms":[113],"such":[114],"they":[116],"divide":[117],"large":[118],"into":[120,126,141],"Resilient":[121],"Distributed":[122],"Datasets":[123],"(RDDs),":[124],"taking":[125],"account":[127],"patterns":[129],"interdependencies":[131],"rules.":[135],"We":[136],"then":[137],"load":[138],"each":[139],"RDD":[140],"computers":[145],"composing":[146],"subsequently":[152],"rule":[157],"execution":[158],"orders.":[159],"evaluate":[161],"proposed":[163,186],"methods,":[164],"compare":[166],"it":[167],"WebPIE":[169,198],"using":[170,200],"LUBM":[172],"set,":[173],"which":[174],"formal":[176],"dataset":[177],"evaluating":[179],"inferences":[181],"search":[183],"speeds.":[184],"The":[185],"shows":[188],"throughput":[189],"improved":[191],"200%":[193],"(98k/sec)":[194],"as":[195],"compared":[196],"(33k/sec)":[199],"LUBM6000":[202],"(860":[203],"million":[204],"triples,":[205],"109":[206],"gigabyte).":[207]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":4}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}