{"id":"https://openalex.org/W2914108316","doi":"https://doi.org/10.1109/bigdata.2018.8622607","title":"Scaling up Inference in MLNs with Spark","display_name":"Scaling up Inference in MLNs with Spark","publication_year":2018,"publication_date":"2018-12-01","ids":{"openalex":"https://openalex.org/W2914108316","doi":"https://doi.org/10.1109/bigdata.2018.8622607","mag":"2914108316"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata.2018.8622607","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2018.8622607","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Big Data (Big Data)","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/A5077936047","display_name":"Mohammad Maminur Islam","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Mohammad Maminur Islam","raw_affiliation_strings":["Department of Computer Science University of Memphis"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science University of Memphis","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010310932","display_name":"Khan Mohammad Al Farabi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Khan Mohammad Al Farabi","raw_affiliation_strings":["Department of Computer Science University of Memphis"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science University of Memphis","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023589965","display_name":"Somdeb Sarkhel","orcid":null},"institutions":[{"id":"https://openalex.org/I1306409833","display_name":"Adobe Systems (United States)","ror":"https://ror.org/059tvcg64","country_code":"US","type":"company","lineage":["https://openalex.org/I1306409833"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Somdeb Sarkhel","raw_affiliation_strings":["Adobe Research"],"affiliations":[{"raw_affiliation_string":"Adobe Research","institution_ids":["https://openalex.org/I1306409833"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103421781","display_name":"Deepak Venugopal","orcid":"https://orcid.org/0000-0001-7466-5417"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Deepak Venugopal","raw_affiliation_strings":["Department of Computer Science University of Memphis"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science University of Memphis","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5077936047"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1629,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.61809899,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":"26","issue":null,"first_page":"118","last_page":"125"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9995999932289124,"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9995999932289124,"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":0.9904999732971191,"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"}},{"id":"https://openalex.org/T11719","display_name":"Data Quality and Management","score":0.9868000149726868,"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/inference","display_name":"Inference","score":0.8008034229278564},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7455941438674927},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6480416059494019},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.6453353762626648},{"id":"https://openalex.org/keywords/relational-database","display_name":"Relational database","score":0.5828801393508911},{"id":"https://openalex.org/keywords/spark","display_name":"SPARK (programming language)","score":0.5234414935112},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4541882276535034},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.45412909984588623},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.44435378909111023},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3819763958454132},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.334011971950531},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.1463063657283783},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.0900563895702362}],"concepts":[{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.8008034229278564},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7455941438674927},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6480416059494019},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.6453353762626648},{"id":"https://openalex.org/C5655090","wikidata":"https://www.wikidata.org/wiki/Q192588","display_name":"Relational database","level":2,"score":0.5828801393508911},{"id":"https://openalex.org/C2781215313","wikidata":"https://www.wikidata.org/wiki/Q3493345","display_name":"SPARK (programming language)","level":2,"score":0.5234414935112},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4541882276535034},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.45412909984588623},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.44435378909111023},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3819763958454132},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.334011971950531},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.1463063657283783},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0900563895702362}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata.2018.8622607","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2018.8622607","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4399999976158142,"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W55783264","https://openalex.org/W73939759","https://openalex.org/W1585529040","https://openalex.org/W1728061942","https://openalex.org/W1815494026","https://openalex.org/W1823181550","https://openalex.org/W1896160955","https://openalex.org/W1899311411","https://openalex.org/W1997945384","https://openalex.org/W2107272354","https://openalex.org/W2108926309","https://openalex.org/W2119943182","https://openalex.org/W2133933452","https://openalex.org/W2135209143","https://openalex.org/W2138164508","https://openalex.org/W2164278908","https://openalex.org/W2166741250","https://openalex.org/W2175127871","https://openalex.org/W2182016713","https://openalex.org/W2186179986","https://openalex.org/W2189465200","https://openalex.org/W2251644265","https://openalex.org/W2273718883","https://openalex.org/W2403422166","https://openalex.org/W2405267336","https://openalex.org/W2503079136","https://openalex.org/W2605120649","https://openalex.org/W2605617669","https://openalex.org/W2740813827","https://openalex.org/W2788796293","https://openalex.org/W2949555358","https://openalex.org/W2951113132","https://openalex.org/W4292363360","https://openalex.org/W4300470571","https://openalex.org/W4300868862","https://openalex.org/W6602296532","https://openalex.org/W6602986204","https://openalex.org/W6607657359","https://openalex.org/W6637778417","https://openalex.org/W6638610649","https://openalex.org/W6639660665","https://openalex.org/W6639805184","https://openalex.org/W6676431095","https://openalex.org/W6679889613","https://openalex.org/W6684108786","https://openalex.org/W6685643784","https://openalex.org/W6686713111","https://openalex.org/W6687322159","https://openalex.org/W6694166643","https://openalex.org/W6713565118","https://openalex.org/W6713952174","https://openalex.org/W6736529825","https://openalex.org/W6748844493"],"related_works":["https://openalex.org/W4390608645","https://openalex.org/W4394895745","https://openalex.org/W2766461310","https://openalex.org/W4247566972","https://openalex.org/W4388692845","https://openalex.org/W3202731209","https://openalex.org/W3211874991","https://openalex.org/W4308507533","https://openalex.org/W2407107767","https://openalex.org/W2901787049"],"abstract_inverted_index":{"Typically,":[0],"inference":[1,39,71,97,117,134,191,215,239,244],"algorithms":[2,40,72],"for":[3,73,92,170,216],"big":[4,76,171,222],"data":[5,15,218,223],"address":[6],"non-relational":[7],"data.":[8,43,78],"However,":[9,169],"clearly,":[10],"a":[11,188],"lot":[12],"of":[13,51,146,196,201,229,247],"real-world":[14],"such":[16],"as":[17],"social":[18],"network":[19],"data,":[20,22,173],"healthcare":[21],"etc.":[23],"are":[24,48],"relational":[25,42,56,77,172,217,243],"in":[26,132,139,206,214,221],"nature.":[27],"Therefore,":[28],"we":[29,68,186,231,234],"need":[30],"more":[31,237],"powerful":[32],"techniques":[33,160],"that":[34,58,107,118,198,233],"can":[35,59,235],"scale":[36,69,241],"up":[37,70,242],"richer":[38],"on":[41,98,194],"Markov":[44],"Logic":[45],"Networks":[46],"(MLNs)":[47],"arguably":[49],"one":[50],"the":[52,80,122,127,130,140,144,147,207,227],"most":[53],"popular":[54,153],"statistical":[55],"models":[57],"represent":[60],"complex,":[61],"uncertain":[62],"knowledge":[63],"succinctly.":[64],"In":[65,183],"this":[66,99,184],"paper,":[67,185],"MLNs":[74],"to":[75,110,114,136,142,155,161,178,203,245],"Specifically,":[79],"probabilistic":[81],"graphical":[82,124],"model":[83,100,125],"underlying":[84,126],"an":[85],"MLN":[86,257],"is":[87,101,108,113,135],"typically":[88],"extremely":[89],"large":[90],"even":[91],"small-sized":[93],"problems,":[94],"and":[95,240],"performing":[96],"highly":[102],"challenging.":[103],"A":[104,152],"pre-dominant":[105],"approach":[106,154],"used":[109],"improve":[111],"scalability":[112],"perform":[115,156,236],"lifted":[116,133,190],"does":[119],"not":[120],"construct":[121],"full":[123],"MLN.":[128,208],"Instead,":[129],"idea":[131],"use":[137],"symmetries":[138,181,205],"distribution":[141],"reduce":[143],"size":[145],"model,":[148],"thus":[149],"improving":[150],"scalability.":[151],"lifting":[157],"utilizes":[158],"clustering":[159],"group":[162],"together":[163],"variables":[164],"with":[165,219],"similar":[166],"distributional":[167],"characteristics.":[168],"it":[174],"quickly":[175],"becomes":[176],"infeasible":[177],"identify":[179,204],"these":[180],"scalably.":[182],"design":[187],"novel":[189],"system":[192],"built":[193],"top":[195],"Spark":[197],"takes":[199],"advantage":[200],"parallelism":[202],"Thus":[209],"our":[210],"work":[211],"unifies":[212],"advances":[213,220],"processing":[224],"technologies.":[225],"Utilizing":[226],"power":[228],"Spark,":[230],"show":[232],"accurate":[238],"orders":[246],"magnitude":[248],"larger":[249],"sized":[250],"datasets":[251],"than":[252],"currently":[253],"possible":[254],"by":[255],"state-of-the-art":[256],"systems.":[258]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}