{"id":"https://openalex.org/W2040727720","doi":"https://doi.org/10.1109/dsaa.2014.7058065","title":"Similarity analysis of service descriptions for efficient Web service discovery","display_name":"Similarity analysis of service descriptions for efficient Web service discovery","publication_year":2014,"publication_date":"2014-10-01","ids":{"openalex":"https://openalex.org/W2040727720","doi":"https://doi.org/10.1109/dsaa.2014.7058065","mag":"2040727720"},"language":"en","primary_location":{"id":"doi:10.1109/dsaa.2014.7058065","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dsaa.2014.7058065","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 International Conference on Data Science and Advanced Analytics (DSAA)","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/A5085977948","display_name":"S. Sowmya Kamath","orcid":null},"institutions":[{"id":"https://openalex.org/I11880225","display_name":"National Institute of Technology Karnataka","ror":"https://ror.org/01hz4v948","country_code":"IN","type":"education","lineage":["https://openalex.org/I11880225"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Sowmya Kamath S.","raw_affiliation_strings":["Department of Information Technology, National Institute of Technology Karnataka, Surathkal, Mangalore, India","Department of Information Technology, National Institute of Technology Karnataka, Mangalore, India"],"affiliations":[{"raw_affiliation_string":"Department of Information Technology, National Institute of Technology Karnataka, Surathkal, Mangalore, India","institution_ids":["https://openalex.org/I11880225"]},{"raw_affiliation_string":"Department of Information Technology, National Institute of Technology Karnataka, Mangalore, India","institution_ids":["https://openalex.org/I11880225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057100084","display_name":"V. S. Ananthanarayana","orcid":null},"institutions":[{"id":"https://openalex.org/I11880225","display_name":"National Institute of Technology Karnataka","ror":"https://ror.org/01hz4v948","country_code":"IN","type":"education","lineage":["https://openalex.org/I11880225"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ananthanarayana V.S.","raw_affiliation_strings":["Department of Information Technology, National Institute of Technology Karnataka, Surathkal, Mangalore, India","Department of Information Technology, National Institute of Technology Karnataka, Mangalore, India"],"affiliations":[{"raw_affiliation_string":"Department of Information Technology, National Institute of Technology Karnataka, Surathkal, Mangalore, India","institution_ids":["https://openalex.org/I11880225"]},{"raw_affiliation_string":"Department of Information Technology, National Institute of Technology Karnataka, Mangalore, India","institution_ids":["https://openalex.org/I11880225"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5085977948"],"corresponding_institution_ids":["https://openalex.org/I11880225"],"apc_list":null,"apc_paid":null,"fwci":0.7889,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.81699648,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"142","last_page":"148"},"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":0.9998999834060669,"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":0.9998999834060669,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9973999857902527,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.9731000065803528,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.796555757522583},{"id":"https://openalex.org/keywords/service-discovery","display_name":"Service discovery","score":0.6854267120361328},{"id":"https://openalex.org/keywords/service","display_name":"Service (business)","score":0.6715534329414368},{"id":"https://openalex.org/keywords/web-service","display_name":"Web service","score":0.6196641325950623},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.588083803653717},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5447443723678589},{"id":"https://openalex.org/keywords/web-crawler","display_name":"Web crawler","score":0.5118976831436157},{"id":"https://openalex.org/keywords/hierarchical-clustering","display_name":"Hierarchical clustering","score":0.5035364031791687},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.4812774062156677},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.45384520292282104},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4184321165084839},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3997940421104431},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.35362154245376587},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.13815537095069885}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.796555757522583},{"id":"https://openalex.org/C144097018","wikidata":"https://www.wikidata.org/wiki/Q4329404","display_name":"Service discovery","level":3,"score":0.6854267120361328},{"id":"https://openalex.org/C2780378061","wikidata":"https://www.wikidata.org/wiki/Q25351891","display_name":"Service (business)","level":2,"score":0.6715534329414368},{"id":"https://openalex.org/C35578498","wikidata":"https://www.wikidata.org/wiki/Q193424","display_name":"Web service","level":2,"score":0.6196641325950623},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.588083803653717},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5447443723678589},{"id":"https://openalex.org/C13743948","wikidata":"https://www.wikidata.org/wiki/Q45842","display_name":"Web crawler","level":2,"score":0.5118976831436157},{"id":"https://openalex.org/C92835128","wikidata":"https://www.wikidata.org/wiki/Q1277447","display_name":"Hierarchical clustering","level":3,"score":0.5035364031791687},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.4812774062156677},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.45384520292282104},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4184321165084839},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3997940421104431},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.35362154245376587},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.13815537095069885},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C136264566","wikidata":"https://www.wikidata.org/wiki/Q159810","display_name":"Economy","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dsaa.2014.7058065","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dsaa.2014.7058065","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 International Conference on Data Science and Advanced Analytics (DSAA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.6399999856948853,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1489992655","https://openalex.org/W1990368529","https://openalex.org/W2007687650","https://openalex.org/W2069495730","https://openalex.org/W2081218270","https://openalex.org/W2096313458","https://openalex.org/W2097210546","https://openalex.org/W2102381086","https://openalex.org/W2106256275","https://openalex.org/W2121361232","https://openalex.org/W2127021547","https://openalex.org/W2142681043","https://openalex.org/W2146013510","https://openalex.org/W2160050949","https://openalex.org/W2165897980","https://openalex.org/W2170036307","https://openalex.org/W2171104838","https://openalex.org/W6670935620"],"related_works":["https://openalex.org/W3005260231","https://openalex.org/W2904469652","https://openalex.org/W4362647146","https://openalex.org/W2383572231","https://openalex.org/W2042034567","https://openalex.org/W3179424333","https://openalex.org/W2782340266","https://openalex.org/W4230722125","https://openalex.org/W2149158941","https://openalex.org/W1566984846"],"abstract_inverted_index":{"Web":[0,44,83],"services":[1],"are":[2],"currently":[3],"one":[4],"of":[5,28,36],"the":[6,26,29,34,43,82,96,104,121,127,147,150,154,159,163],"preferred":[7],"ways":[8],"for":[9,76,84,112,134,171],"realizing":[10],"Service":[11],"Oriented":[12],"Architectures":[13],"in":[14,153],"business":[15],"systems.":[16],"Due":[17],"to":[18,25,65,95,131],"this":[19],"popularity":[20],"and":[21,51,107,125,156,181,182],"also":[22],"due":[23],"partly":[24],"failure":[27],"Universal":[30],"Business":[31],"Registry":[32],"initiative,":[33],"number":[35],"published":[37],"service":[38,54,78,88,97,105,123,152,160,172],"descriptions":[39,79,98,106,124],"openly":[40],"available":[41,80],"on":[42,81],"has":[45],"increased":[46],"by":[47,103,177],"a":[48,61,72,86],"large":[49],"extent":[50],"hence,":[52],"relevant":[53,110],"discovery":[55,173],"as":[56],"per":[57],"user":[58],"specification":[59],"remains":[60],"challenge.":[62],"In":[63],"order":[64],"achieve":[66],"more":[67],"efficient":[68],"discovery,":[69],"we":[70,119,141,183],"propose":[71],"crawler":[73],"based":[74],"system":[75,187],"gathering":[77],"building":[85],"scalable":[87],"repository.":[89],"We":[90],"apply":[91],"similarity":[92],"analysis":[93],"techniques":[94],"after":[99],"extracting":[100],"features":[101],"provided":[102],"automatically":[108],"generate":[109,132],"tags":[111,133],"each":[113,135],"service.":[114],"Using":[115],"Agglomerative":[116],"Hierarchical":[117],"clustering,":[118],"cluster":[120,139,155,164],"tagged":[122],"use":[126],"same":[128],"tagging":[129,178],"technique":[130],"cluster.":[136],"For":[137],"generating":[138],"tags,":[140],"take":[142],"into":[143],"account":[144],"how":[145,157],"well":[146,158],"tag":[148],"represents":[149,162],"corresponding":[151],"itself":[161],"it":[165],"is":[166],"in.":[167],"The":[168],"search":[169],"domain":[170],"was":[174],"significantly":[175],"reduced":[176],"&":[179],"clustering":[180],"show":[184],"that":[185],"our":[186],"achieves":[188],"good":[189],"results.":[190]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-01-28T23:14:49.684275","created_date":"2025-10-10T00:00:00"}