{"id":"https://openalex.org/W3137230591","doi":"https://doi.org/10.1109/bigdata50022.2020.9377877","title":"DSCEP: An Infrastructure for Decentralized Semantic Complex Event Processing","display_name":"DSCEP: An Infrastructure for Decentralized Semantic Complex Event Processing","publication_year":2020,"publication_date":"2020-12-10","ids":{"openalex":"https://openalex.org/W3137230591","doi":"https://doi.org/10.1109/bigdata50022.2020.9377877","mag":"3137230591"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata50022.2020.9377877","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata50022.2020.9377877","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.maxwell.vrac.puc-rio.br/colecao.php?strSecao=resultado&amp;nrSeq=55549@1","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5015478803","display_name":"Vitor Pinheiro de Almeida","orcid":"https://orcid.org/0000-0002-6544-9541"},"institutions":[{"id":"https://openalex.org/I2699952","display_name":"Pontifical Catholic University of Rio de Janeiro","ror":"https://ror.org/01dg47b60","country_code":"BR","type":"education","lineage":["https://openalex.org/I2699952"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Vitor Pinheiro de Almeida","raw_affiliation_strings":["Pontif\u00edcia Universidade Cat\u00f3lica do Rio de Janeiro, Rio de Janeiro, Brazil"],"affiliations":[{"raw_affiliation_string":"Pontif\u00edcia Universidade Cat\u00f3lica do Rio de Janeiro, Rio de Janeiro, Brazil","institution_ids":["https://openalex.org/I2699952"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016828857","display_name":"Sukanya Bhowmik","orcid":"https://orcid.org/0000-0001-5045-4252"},"institutions":[{"id":"https://openalex.org/I100066346","display_name":"University of Stuttgart","ror":"https://ror.org/04vnq7t77","country_code":"DE","type":"education","lineage":["https://openalex.org/I100066346"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Sukanya Bhowmik","raw_affiliation_strings":["University of Stuttgart, Stuttgart, Germany"],"affiliations":[{"raw_affiliation_string":"University of Stuttgart, Stuttgart, Germany","institution_ids":["https://openalex.org/I100066346"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081858443","display_name":"Guilherme Lima","orcid":"https://orcid.org/0000-0002-7660-9256"},"institutions":[{"id":"https://openalex.org/I4210113516","display_name":"IBM Research - Brazil","ror":"https://ror.org/01fxqdx25","country_code":"BR","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210113516","https://openalex.org/I4210114115"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Guilherme Lima","raw_affiliation_strings":["IBM Research, Rio de Janeiro, Brazil"],"affiliations":[{"raw_affiliation_string":"IBM Research, Rio de Janeiro, Brazil","institution_ids":["https://openalex.org/I4210113516"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065765043","display_name":"Markus Endler","orcid":"https://orcid.org/0000-0002-8007-9817"},"institutions":[{"id":"https://openalex.org/I2699952","display_name":"Pontifical Catholic University of Rio de Janeiro","ror":"https://ror.org/01dg47b60","country_code":"BR","type":"education","lineage":["https://openalex.org/I2699952"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Markus Endler","raw_affiliation_strings":["Pontif\u00edcia Universidade Cat\u00f3lica do Rio de Janeiro, Rio de Janeiro, Brazil"],"affiliations":[{"raw_affiliation_string":"Pontif\u00edcia Universidade Cat\u00f3lica do Rio de Janeiro, Rio de Janeiro, Brazil","institution_ids":["https://openalex.org/I2699952"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001242671","display_name":"Kurt Rothermel","orcid":"https://orcid.org/0000-0001-8986-8241"},"institutions":[{"id":"https://openalex.org/I100066346","display_name":"University of Stuttgart","ror":"https://ror.org/04vnq7t77","country_code":"DE","type":"education","lineage":["https://openalex.org/I100066346"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Kurt Rothermel","raw_affiliation_strings":["University of Stuttgart, Stuttgart, Germany"],"affiliations":[{"raw_affiliation_string":"University of Stuttgart, Stuttgart, Germany","institution_ids":["https://openalex.org/I100066346"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5015478803"],"corresponding_institution_ids":["https://openalex.org/I2699952"],"apc_list":null,"apc_paid":null,"fwci":1.4552,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.84187392,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"1","issue":null,"first_page":"391","last_page":"398"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10317","display_name":"Advanced Database Systems and Queries","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9990000128746033,"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":0.9983000159263611,"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/sparql","display_name":"SPARQL","score":0.9153075218200684},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8704472780227661},{"id":"https://openalex.org/keywords/rdf","display_name":"RDF","score":0.8320525884628296},{"id":"https://openalex.org/keywords/complex-event-processing","display_name":"Complex event processing","score":0.7031911015510559},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5767200589179993},{"id":"https://openalex.org/keywords/stream-processing","display_name":"Stream processing","score":0.5627453923225403},{"id":"https://openalex.org/keywords/rdf-schema","display_name":"RDF Schema","score":0.545272707939148},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.4519559442996979},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.43623101711273193},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.4122992753982544},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.3882027864456177},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.35197335481643677},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.34529390931129456},{"id":"https://openalex.org/keywords/semantic-web","display_name":"Semantic Web","score":0.3192896842956543},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.14932435750961304},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.11071473360061646}],"concepts":[{"id":"https://openalex.org/C41009113","wikidata":"https://www.wikidata.org/wiki/Q54871","display_name":"SPARQL","level":4,"score":0.9153075218200684},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8704472780227661},{"id":"https://openalex.org/C147497476","wikidata":"https://www.wikidata.org/wiki/Q54872","display_name":"RDF","level":3,"score":0.8320525884628296},{"id":"https://openalex.org/C123606473","wikidata":"https://www.wikidata.org/wiki/Q907918","display_name":"Complex event processing","level":3,"score":0.7031911015510559},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5767200589179993},{"id":"https://openalex.org/C107027933","wikidata":"https://www.wikidata.org/wiki/Q2006448","display_name":"Stream processing","level":2,"score":0.5627453923225403},{"id":"https://openalex.org/C15657843","wikidata":"https://www.wikidata.org/wiki/Q1751819","display_name":"RDF Schema","level":5,"score":0.545272707939148},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.4519559442996979},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.43623101711273193},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.4122992753982544},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.3882027864456177},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.35197335481643677},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.34529390931129456},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.3192896842956543},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.14932435750961304},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.11071473360061646},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/bigdata50022.2020.9377877","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata50022.2020.9377877","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"},{"id":"pmh:oai:MAXWELL.puc-rio.br:55549","is_oa":true,"landing_page_url":"https://www.maxwell.vrac.puc-rio.br/colecao.php?strSecao=resultado&amp;nrSeq=55549@1","pdf_url":null,"source":null,"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"reponame:Reposit\u00f3rio Institucional da PUC-RIO (Projeto Maxwell)","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"pmh:oai:MAXWELL.puc-rio.br:55549","is_oa":true,"landing_page_url":"https://www.maxwell.vrac.puc-rio.br/colecao.php?strSecao=resultado&amp;nrSeq=55549@1","pdf_url":null,"source":null,"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"reponame:Reposit\u00f3rio Institucional da PUC-RIO (Projeto Maxwell)","raw_type":"info:eu-repo/semantics/publishedVersion"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.6200000047683716}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W200035024","https://openalex.org/W200641512","https://openalex.org/W1561433714","https://openalex.org/W1825936731","https://openalex.org/W1911913036","https://openalex.org/W1977159600","https://openalex.org/W1978947899","https://openalex.org/W2012479349","https://openalex.org/W2098931293","https://openalex.org/W2109360361","https://openalex.org/W2124289460","https://openalex.org/W2145292307","https://openalex.org/W2153836901","https://openalex.org/W2171651737","https://openalex.org/W2734376583","https://openalex.org/W2751912077","https://openalex.org/W2759758335","https://openalex.org/W2766317154","https://openalex.org/W2771003838","https://openalex.org/W2786499150","https://openalex.org/W2807558998","https://openalex.org/W2883358451","https://openalex.org/W2888505028","https://openalex.org/W2914221800","https://openalex.org/W2951733365","https://openalex.org/W6608160808","https://openalex.org/W6740846004","https://openalex.org/W6744359025"],"related_works":["https://openalex.org/W4206665951","https://openalex.org/W2079781157","https://openalex.org/W3082761338","https://openalex.org/W4296056063","https://openalex.org/W3171256892","https://openalex.org/W3107051279","https://openalex.org/W4301152651","https://openalex.org/W1935612762","https://openalex.org/W2602535883","https://openalex.org/W2615202182"],"abstract_inverted_index":{"Many":[0],"applications":[1],"require":[2],"the":[3,64,104,110,123,142,166,189,195,218],"processing":[4,32,81,102,115],"of":[5,16,41,56,112,125,144,168,217],"event":[6,31,179],"streams":[7,46],"from":[8],"different":[9,93],"sources":[10],"in":[11,47,158,194],"combination":[12,48],"with":[13,34,49,79],"large":[14],"amounts":[15],"background":[17],"knowledge.":[18],"Semantic":[19,83,132],"CEP":[20,84],"is":[21],"a":[22,39,60,159],"paradigm":[23],"designed":[24,58],"specifically":[25],"for":[26,59,131],"that.":[27],"It":[28],"extends":[29],"complex":[30],"(CEP)":[33],"RDF":[35,45,50,65,76,113],"support":[36],"and":[37,85,100,177,181],"uses":[38],"network":[40],"operators":[42,150],"to":[43,107,186,202],"process":[44],"knowledge":[51,219],"bases.":[52],"Another":[53],"popular":[54],"class":[55],"systems":[57,71],"similar":[61,88],"purpose":[62],"are":[63,70],"stream":[66,80,114,175],"processors":[67],"(RSPs).":[68],"These":[69],"that":[72,140,152],"extend":[73],"SPARQL":[74,205],"(the":[75],"query":[77],"language)":[78],"capabilities.":[82],"RSPs":[86],"have":[87],"purposes":[89],"but":[90],"focus":[91,108],"on":[92,98,109,188],"things.":[94],"The":[95],"former":[96],"focuses":[97],"scalability":[99],"distributed":[101],"while":[103],"latter":[105],"tend":[106],"intricacies":[111],"per":[116],"se.":[117],"In":[118],"this":[119],"paper":[120,196],"we":[121],"propose":[122],"use":[124],"RSP":[126,146],"engines":[127,147],"as":[128,172],"building":[129],"blocks":[130],"CEP.":[133],"We":[134,191],"present":[135],"an":[136],"infrastructure,":[137],"called":[138],"DSCEP,":[139],"allows":[141],"encapsulation":[143],"existing":[145],"into":[148,210],"CEP-like":[149],"so":[151],"these":[153],"can":[154,199],"be":[155,200],"seamlessly":[156],"interconnected":[157],"distributed,":[160],"decentralized":[161],"operator":[162],"network.":[163],"DSCEP":[164,198],"handles":[165],"hurdles":[167],"such":[169,171],"interconnection,":[170],"reliable":[173],"communication,":[174],"aggregation":[176],"slicing,":[178],"identification":[180],"time-stamping,":[182],"etc.,":[183],"allowing":[184],"users":[185],"concentrate":[187],"queries.":[190],"also":[192],"discuss":[193],"how":[197],"used":[201],"speedup":[203],"monolithic":[204],"queries":[206],"by":[207],"splitting":[208],"them":[209],"parallel":[211],"subqueries":[212],"operating":[213],"over":[214],"restricted":[215],"parts":[216],"base.":[220]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
