{"id":"https://openalex.org/W2766349549","doi":"https://doi.org/10.1109/cscn.2017.8088597","title":"Enhanced query processing using weighted predicate tree in edge computing environment","display_name":"Enhanced query processing using weighted predicate tree in edge computing environment","publication_year":2017,"publication_date":"2017-09-01","ids":{"openalex":"https://openalex.org/W2766349549","doi":"https://doi.org/10.1109/cscn.2017.8088597","mag":"2766349549"},"language":"en","primary_location":{"id":"doi:10.1109/cscn.2017.8088597","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cscn.2017.8088597","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Conference on Standards for Communications and Networking (CSCN)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5112329195","display_name":"Byung Hoo Song","orcid":null},"institutions":[{"id":"https://openalex.org/I848706","display_name":"Sungkyunkwan University","ror":"https://ror.org/04q78tk20","country_code":"KR","type":"education","lineage":["https://openalex.org/I848706"]},{"id":"https://openalex.org/I97750245","display_name":"Software (Spain)","ror":"https://ror.org/02ethns06","country_code":"ES","type":"company","lineage":["https://openalex.org/I4210087817","https://openalex.org/I97750245"]}],"countries":["ES","KR"],"is_corresponding":false,"raw_author_name":"Byung Hoo Song","raw_affiliation_strings":["College of Software, Sungkyunkwan University, Suwon, Korea","College of Software, Sungkyunkwan University, Jongno-gu, Seoul, KR"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Software, Sungkyunkwan University, Suwon, Korea","institution_ids":["https://openalex.org/I848706"]},{"raw_affiliation_string":"College of Software, Sungkyunkwan University, Jongno-gu, Seoul, KR","institution_ids":["https://openalex.org/I848706","https://openalex.org/I97750245"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102839824","display_name":"Byungjun Lee","orcid":"https://orcid.org/0000-0002-4624-7303"},"institutions":[{"id":"https://openalex.org/I848706","display_name":"Sungkyunkwan University","ror":"https://ror.org/04q78tk20","country_code":"KR","type":"education","lineage":["https://openalex.org/I848706"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Byungjun Lee","raw_affiliation_strings":["College of Software, Sungkyunkwan University, Suwon, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Software, Sungkyunkwan University, Suwon, Korea","institution_ids":["https://openalex.org/I848706"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100335072","display_name":"Kyung Tae Kim","orcid":"https://orcid.org/0000-0001-6475-6905"},"institutions":[{"id":"https://openalex.org/I848706","display_name":"Sungkyunkwan University","ror":"https://ror.org/04q78tk20","country_code":"KR","type":"education","lineage":["https://openalex.org/I848706"]},{"id":"https://openalex.org/I97750245","display_name":"Software (Spain)","ror":"https://ror.org/02ethns06","country_code":"ES","type":"company","lineage":["https://openalex.org/I4210087817","https://openalex.org/I97750245"]}],"countries":["ES","KR"],"is_corresponding":false,"raw_author_name":"Kyung Tae Kim","raw_affiliation_strings":["Coll. of Software, Sungkyunkwan Univ., Suwon, South Korea","Coll. of Software, Sungkyunkwan University, Jongno-gu, Seoul, KR"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Coll. of Software, Sungkyunkwan Univ., Suwon, South Korea","institution_ids":["https://openalex.org/I848706"]},{"raw_affiliation_string":"Coll. of Software, Sungkyunkwan University, Jongno-gu, Seoul, KR","institution_ids":["https://openalex.org/I848706","https://openalex.org/I97750245"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079532088","display_name":"Hee Yong Youn","orcid":"https://orcid.org/0000-0003-2833-7628"},"institutions":[{"id":"https://openalex.org/I848706","display_name":"Sungkyunkwan University","ror":"https://ror.org/04q78tk20","country_code":"KR","type":"education","lineage":["https://openalex.org/I848706"]},{"id":"https://openalex.org/I97750245","display_name":"Software (Spain)","ror":"https://ror.org/02ethns06","country_code":"ES","type":"company","lineage":["https://openalex.org/I4210087817","https://openalex.org/I97750245"]}],"countries":["ES","KR"],"is_corresponding":false,"raw_author_name":"Hee Yong Youn","raw_affiliation_strings":["Coll. of Software, Sungkyunkwan Univ., Suwon, South Korea","Coll. of Software, Sungkyunkwan University, Jongno-gu, Seoul, KR"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Coll. of Software, Sungkyunkwan Univ., Suwon, South Korea","institution_ids":["https://openalex.org/I848706"]},{"raw_affiliation_string":"Coll. of Software, Sungkyunkwan University, Jongno-gu, Seoul, KR","institution_ids":["https://openalex.org/I848706","https://openalex.org/I97750245"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"48","last_page":"53"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9988999962806702,"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9988999962806702,"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/T11478","display_name":"Caching and Content Delivery","score":0.9972000122070312,"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/T10101","display_name":"Cloud Computing and Resource Management","score":0.9902999997138977,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/computer-science","display_name":"Computer science","score":0.8704017400741577},{"id":"https://openalex.org/keywords/sparql","display_name":"SPARQL","score":0.8511538505554199},{"id":"https://openalex.org/keywords/rdf-query-language","display_name":"RDF query language","score":0.6581568717956543},{"id":"https://openalex.org/keywords/rdf","display_name":"RDF","score":0.6432806849479675},{"id":"https://openalex.org/keywords/query-optimization","display_name":"Query optimization","score":0.5838719606399536},{"id":"https://openalex.org/keywords/query-language","display_name":"Query language","score":0.4903745651245117},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4858114719390869},{"id":"https://openalex.org/keywords/identifier","display_name":"Identifier","score":0.447388619184494},{"id":"https://openalex.org/keywords/predicate","display_name":"Predicate (mathematical logic)","score":0.42751437425613403},{"id":"https://openalex.org/keywords/query-expansion","display_name":"Query expansion","score":0.42063724994659424},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38982030749320984},{"id":"https://openalex.org/keywords/web-query-classification","display_name":"Web query classification","score":0.3434387147426605},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.3387755751609802},{"id":"https://openalex.org/keywords/web-search-query","display_name":"Web search query","score":0.33582907915115356},{"id":"https://openalex.org/keywords/semantic-web","display_name":"Semantic Web","score":0.2532271146774292},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.11519956588745117},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.07869648933410645}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8704017400741577},{"id":"https://openalex.org/C41009113","wikidata":"https://www.wikidata.org/wiki/Q54871","display_name":"SPARQL","level":4,"score":0.8511538505554199},{"id":"https://openalex.org/C96956885","wikidata":"https://www.wikidata.org/wiki/Q6138701","display_name":"RDF query language","level":5,"score":0.6581568717956543},{"id":"https://openalex.org/C147497476","wikidata":"https://www.wikidata.org/wiki/Q54872","display_name":"RDF","level":3,"score":0.6432806849479675},{"id":"https://openalex.org/C157692150","wikidata":"https://www.wikidata.org/wiki/Q2919848","display_name":"Query optimization","level":2,"score":0.5838719606399536},{"id":"https://openalex.org/C192028432","wikidata":"https://www.wikidata.org/wiki/Q845739","display_name":"Query language","level":2,"score":0.4903745651245117},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4858114719390869},{"id":"https://openalex.org/C154504017","wikidata":"https://www.wikidata.org/wiki/Q853614","display_name":"Identifier","level":2,"score":0.447388619184494},{"id":"https://openalex.org/C140146324","wikidata":"https://www.wikidata.org/wiki/Q1144319","display_name":"Predicate (mathematical logic)","level":2,"score":0.42751437425613403},{"id":"https://openalex.org/C99016210","wikidata":"https://www.wikidata.org/wiki/Q5488129","display_name":"Query expansion","level":2,"score":0.42063724994659424},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38982030749320984},{"id":"https://openalex.org/C118689300","wikidata":"https://www.wikidata.org/wiki/Q7978614","display_name":"Web query classification","level":4,"score":0.3434387147426605},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.3387755751609802},{"id":"https://openalex.org/C164120249","wikidata":"https://www.wikidata.org/wiki/Q995982","display_name":"Web search query","level":3,"score":0.33582907915115356},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.2532271146774292},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.11519956588745117},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.07869648933410645}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cscn.2017.8088597","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cscn.2017.8088597","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Conference on Standards for Communications and Networking (CSCN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5,"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W153622350","https://openalex.org/W1510186624","https://openalex.org/W1808818536","https://openalex.org/W1966736232","https://openalex.org/W2035181994","https://openalex.org/W2045371716","https://openalex.org/W2081385143","https://openalex.org/W2104060732","https://openalex.org/W2113582899","https://openalex.org/W2127646644","https://openalex.org/W2293919922","https://openalex.org/W2522364219","https://openalex.org/W2603810864","https://openalex.org/W2920789561","https://openalex.org/W2951697394"],"related_works":["https://openalex.org/W2354970673","https://openalex.org/W2027088687","https://openalex.org/W3161430837","https://openalex.org/W1604898313","https://openalex.org/W2389101760","https://openalex.org/W1522704666","https://openalex.org/W2375271469","https://openalex.org/W2102387332","https://openalex.org/W2272315143","https://openalex.org/W2133681769"],"abstract_inverted_index":{"Edge":[0],"computing":[1,5],"is":[2,44,59,96,105],"a":[3,45,76,88],"novel":[4],"paradigm":[6],"in":[7,20,31],"which":[8],"the":[9,36,52,60,67,80,114,117,120,137],"edge":[10],"nodes":[11],"of":[12,14,39,41,69,73,110,119],"Internet":[13],"Things":[15],"(IoT)":[16],"are":[17],"heavily":[18],"involved":[19],"data":[21,40,47,74,81,90,111,130],"processing.":[22,84],"Resource":[23,54],"Description":[24],"Framework":[25],"(RDF)":[26],"plays":[27],"an":[28],"important":[29],"role":[30],"Semantic":[32],"Web":[33],"due":[34],"to":[35,79],"explosive":[37],"growth":[38],"IoT.":[42],"RDF":[43,70],"graph-based":[46],"model":[48],"employed":[49],"for":[50,65,107],"representing":[51],"Uniform":[53],"Identifiers":[55],"(URIs),":[56],"and":[57,83,92,112,132],"SPARQL":[58,133],"standard":[61],"query":[62,68,93,134,148],"language":[63],"used":[64,106],"processing":[66,94,149],"data.":[71,121],"Growth":[72],"throws":[75],"big":[77],"challenge":[78],"storing":[82,91,109],"In":[85],"this":[86],"paper":[87],"new":[89],"approach":[95,139],"proposed":[97,138],"using":[98],"weighted":[99],"predicate":[100,103],"tree.":[101],"The":[102],"tree":[104],"effective":[108],"extracting":[113],"weights":[115],"indicating":[116],"relation":[118],"Computer":[122],"simulation":[123],"with":[124],"SP":[125],"<sup":[126],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[127],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sup>":[128],"Bench":[129],"set":[131],"reveals":[135],"that":[136],"allows":[140],"substantially":[141],"higher":[142],"performance":[143],"than":[144],"three":[145],"existing":[146],"representative":[147],"schemes.":[150]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}