{"id":"https://openalex.org/W2614439645","doi":"https://doi.org/10.1080/10798587.2017.1316078","title":"An SP-Tree-Based Web Service Matching Algorithm Considering Data Provenance","display_name":"An SP-Tree-Based Web Service Matching Algorithm Considering Data Provenance","publication_year":2017,"publication_date":"2017-05-15","ids":{"openalex":"https://openalex.org/W2614439645","doi":"https://doi.org/10.1080/10798587.2017.1316078","mag":"2614439645"},"language":"en","primary_location":{"id":"doi:10.1080/10798587.2017.1316078","is_oa":false,"landing_page_url":"https://doi.org/10.1080/10798587.2017.1316078","pdf_url":null,"source":{"id":"https://openalex.org/S40639465","display_name":"Intelligent Automation & Soft Computing","issn_l":"1079-8587","issn":["1079-8587","2326-005X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Automation & Soft Computing","raw_type":"journal-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/A5112785835","display_name":"Guoyan Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guoyan Xu","raw_affiliation_strings":["College of Computer and Information, Hohai University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Information, Hohai University, Nanjing, China","institution_ids":["https://openalex.org/I163340411"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054457053","display_name":"Jianxiang Luo","orcid":null},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianxiang Luo","raw_affiliation_strings":["College of Computer and Information, Hohai University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Information, Hohai University, Nanjing, China","institution_ids":["https://openalex.org/I163340411"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104139165","display_name":"Xin Lv","orcid":null},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Lv","raw_affiliation_strings":["College of Computer and Information, Hohai University, Nanjing, China","College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Information, Hohai University, Nanjing, China","institution_ids":["https://openalex.org/I163340411"]},{"raw_affiliation_string":"College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing, China","institution_ids":["https://openalex.org/I163340411"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100421591","display_name":"Yang Li","orcid":"https://orcid.org/0000-0002-6515-4567"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Yang","raw_affiliation_strings":["Information Center, Hohai University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Information Center, Hohai University, Nanjing, China","institution_ids":["https://openalex.org/I163340411"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084684960","display_name":"Ming Tang","orcid":"https://orcid.org/0000-0002-4077-3839"},"institutions":[{"id":"https://openalex.org/I4403928208","display_name":"Communication University of China, Nanjing","ror":"https://ror.org/02n2tgg58","country_code":null,"type":"education","lineage":["https://openalex.org/I4403928208"]},{"id":"https://openalex.org/I75689368","display_name":"Communication University of China","ror":"https://ror.org/04facbs33","country_code":"CN","type":"education","lineage":["https://openalex.org/I75689368"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming Tang","raw_affiliation_strings":["Department of Information Technology, Communication University of China, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Department of Information Technology, Communication University of China, Nanjing, China","institution_ids":["https://openalex.org/I75689368","https://openalex.org/I4403928208"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5112785835"],"corresponding_institution_ids":["https://openalex.org/I163340411"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.06121535,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"23","issue":"4","first_page":"619","last_page":"627"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10679","display_name":"Service-Oriented Architecture and Web Services","score":0.9983999729156494,"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"}},"topics":[{"id":"https://openalex.org/T10679","display_name":"Service-Oriented Architecture and Web Services","score":0.9983999729156494,"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"}},{"id":"https://openalex.org/T11719","display_name":"Data Quality and Management","score":0.994700014591217,"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"}},{"id":"https://openalex.org/T11986","display_name":"Scientific Computing and Data Management","score":0.9930999875068665,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"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":0.9204288721084595},{"id":"https://openalex.org/keywords/provenance","display_name":"Provenance","score":0.6342135071754456},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.6256670355796814},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5138395428657532},{"id":"https://openalex.org/keywords/web-service","display_name":"Web service","score":0.45503684878349304},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.45286861062049866},{"id":"https://openalex.org/keywords/service","display_name":"Service (business)","score":0.4480922818183899},{"id":"https://openalex.org/keywords/blossom-algorithm","display_name":"Blossom algorithm","score":0.4218232333660126},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3776543140411377},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.2635488510131836}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.9204288721084595},{"id":"https://openalex.org/C2780049196","wikidata":"https://www.wikidata.org/wiki/Q23582628","display_name":"Provenance","level":2,"score":0.6342135071754456},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.6256670355796814},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5138395428657532},{"id":"https://openalex.org/C35578498","wikidata":"https://www.wikidata.org/wiki/Q193424","display_name":"Web service","level":2,"score":0.45503684878349304},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.45286861062049866},{"id":"https://openalex.org/C2780378061","wikidata":"https://www.wikidata.org/wiki/Q25351891","display_name":"Service (business)","level":2,"score":0.4480922818183899},{"id":"https://openalex.org/C61455927","wikidata":"https://www.wikidata.org/wiki/Q1030529","display_name":"Blossom algorithm","level":3,"score":0.4218232333660126},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3776543140411377},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.2635488510131836},{"id":"https://openalex.org/C136264566","wikidata":"https://www.wikidata.org/wiki/Q159810","display_name":"Economy","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C5900021","wikidata":"https://www.wikidata.org/wiki/Q163082","display_name":"Petrology","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/10798587.2017.1316078","is_oa":false,"landing_page_url":"https://doi.org/10.1080/10798587.2017.1316078","pdf_url":null,"source":{"id":"https://openalex.org/S40639465","display_name":"Intelligent Automation & Soft Computing","issn_l":"1079-8587","issn":["1079-8587","2326-005X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Automation & Soft Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Clean water and sanitation","id":"https://metadata.un.org/sdg/6","score":0.8100000023841858}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1994326726","https://openalex.org/W2031568657","https://openalex.org/W2077637253","https://openalex.org/W2116783139","https://openalex.org/W2120895063","https://openalex.org/W2145770025","https://openalex.org/W2148361502","https://openalex.org/W2171588311","https://openalex.org/W2534712034"],"related_works":["https://openalex.org/W2362975861","https://openalex.org/W1592682627","https://openalex.org/W2290243676","https://openalex.org/W2385361142","https://openalex.org/W4295762832","https://openalex.org/W2103432623","https://openalex.org/W2366714142","https://openalex.org/W2277362400","https://openalex.org/W2023784850","https://openalex.org/W3185036955"],"abstract_inverted_index":{"AbstractCurrently":[0],"the":[1,8,22,26,32,55,61,95,109,114,125],"semantic-based":[2,127],"Web":[3,37,58,71,77,131],"service":[4,12,59,72,78,132],"matching":[5,79,99,133],"has":[6],"improved":[7],"precision":[9,46,117],"ratio":[10,118],"of":[11,25,36,44,57,70,88,119],"discovery.":[13],"But":[14],"it":[15,107],"can't":[16],"distinguish":[17],"between":[18],"different":[19,23],"data":[20,34,62,82,96],"on":[21,136],"needs":[24],"service,":[27],"due":[28],"to":[29],"rarely":[30],"considering":[31,81],"input":[33],"provenance":[35,63,83,98],"services.":[38],"That":[39],"is":[40,64,85,103,108,121,138],"an":[41,75],"important":[42],"contribution":[43],"high":[45],"ratio.":[47],"Therefore,":[48],"in":[49],"this":[50],"paper,":[51],"for":[52,106,144],"further":[53],"improving":[54],"accuracy":[56],"matching,":[60],"considered":[65],"as":[66],"a":[67,130,141],"constraint":[68],"attribute":[69],"matching.":[73,128],"Firstly,":[74],"SP-tree-based":[76],"algorithm":[80,93],"(SMDP)":[84],"proposed,":[86],"consisting":[87],"three":[89],"aspects:":[90],"The":[91],"general":[92],"thoughts,":[94],"How":[97],"calculation":[100,111],"method,":[101],"(which":[102],"mainly":[104],"introduced":[105],"hardest":[110],"part),":[112],"and":[113,140],"experiments":[115],"verifying":[116],"SMDP":[120,137],"10%":[122],"higher":[123],"than":[124],"traditional":[126],"Secondly,":[129],"model":[134],"based":[135],"designed":[139],"prototype":[142],"system":[143],"water":[145],"resources":[146],"application...":[147]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}