{"id":"https://openalex.org/W4225156907","doi":"https://doi.org/10.1142/s0219649222500290","title":"Building Self-Healing Feature Based on Faster R-CNN Deep Learning Technique in Web Data Extraction Systems","display_name":"Building Self-Healing Feature Based on Faster R-CNN Deep Learning Technique in Web Data Extraction Systems","publication_year":2022,"publication_date":"2022-04-28","ids":{"openalex":"https://openalex.org/W4225156907","doi":"https://doi.org/10.1142/s0219649222500290"},"language":"en","primary_location":{"id":"doi:10.1142/s0219649222500290","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219649222500290","pdf_url":null,"source":{"id":"https://openalex.org/S30163770","display_name":"Journal of Information & Knowledge Management","issn_l":"0219-6492","issn":["0219-6492","1793-6926"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Information &amp; Knowledge Management","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/A5081513560","display_name":"Sudhir Kumar Patnaik","orcid":"https://orcid.org/0000-0001-6069-1091"},"institutions":[{"id":"https://openalex.org/I302410947","display_name":"M S Ramaiah University of Applied Sciences","ror":"https://ror.org/02anh8x74","country_code":"IN","type":"education","lineage":["https://openalex.org/I302410947"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Sudhir Kumar Patnaik","raw_affiliation_strings":["Department of Computer Science and Engineering, M.S. Ramaiah University of Applied Sciences, MSR Nagar, Bangalore, India"],"raw_orcid":"https://orcid.org/0000-0001-6069-1091","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, M.S. Ramaiah University of Applied Sciences, MSR Nagar, Bangalore, India","institution_ids":["https://openalex.org/I302410947"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112598534","display_name":"C. Narendra Babu","orcid":null},"institutions":[{"id":"https://openalex.org/I302410947","display_name":"M S Ramaiah University of Applied Sciences","ror":"https://ror.org/02anh8x74","country_code":"IN","type":"education","lineage":["https://openalex.org/I302410947"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"C. Narendra Babu","raw_affiliation_strings":["Department of Computer Science and Engineering, M.S. Ramaiah University of Applied Sciences, MSR Nagar, Bangalore, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, M.S. Ramaiah University of Applied Sciences, MSR Nagar, Bangalore, India","institution_ids":["https://openalex.org/I302410947"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5081513560"],"corresponding_institution_ids":["https://openalex.org/I302410947"],"apc_list":null,"apc_paid":null,"fwci":0.9292,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.78728546,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"21","issue":"02","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12016","display_name":"Web Data Mining and Analysis","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/T12016","display_name":"Web Data Mining and Analysis","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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.97079998254776,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9674999713897705,"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":0.8002313375473022},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7477210164070129},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6333314180374146},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6333086490631104},{"id":"https://openalex.org/keywords/data-extraction","display_name":"Data extraction","score":0.5222705006599426},{"id":"https://openalex.org/keywords/web-page","display_name":"Web page","score":0.5148738622665405},{"id":"https://openalex.org/keywords/minimum-bounding-box","display_name":"Minimum bounding box","score":0.4848378896713257},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47438743710517883},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.45116546750068665},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3806465268135071},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3790019154548645},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.35546720027923584},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3413386940956116},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.24360764026641846}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8002313375473022},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7477210164070129},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6333314180374146},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6333086490631104},{"id":"https://openalex.org/C2777466982","wikidata":"https://www.wikidata.org/wiki/Q5227287","display_name":"Data extraction","level":3,"score":0.5222705006599426},{"id":"https://openalex.org/C21959979","wikidata":"https://www.wikidata.org/wiki/Q36774","display_name":"Web page","level":2,"score":0.5148738622665405},{"id":"https://openalex.org/C147037132","wikidata":"https://www.wikidata.org/wiki/Q6865426","display_name":"Minimum bounding box","level":3,"score":0.4848378896713257},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47438743710517883},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.45116546750068665},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3806465268135071},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3790019154548645},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.35546720027923584},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3413386940956116},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.24360764026641846},{"id":"https://openalex.org/C2779473830","wikidata":"https://www.wikidata.org/wiki/Q1540899","display_name":"MEDLINE","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1142/s0219649222500290","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219649222500290","pdf_url":null,"source":{"id":"https://openalex.org/S30163770","display_name":"Journal of Information & Knowledge Management","issn_l":"0219-6492","issn":["0219-6492","1793-6926"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Information &amp; Knowledge Management","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:wsi:ijitmx:v:19:y:2022:i:01:n:s0219649222500290","is_oa":false,"landing_page_url":"http://www.worldscientific.com/doi/abs/10.1142/S0219649222500290","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1536680647","https://openalex.org/W1927338256","https://openalex.org/W2008481957","https://openalex.org/W2065568440","https://openalex.org/W2071628657","https://openalex.org/W2134172329","https://openalex.org/W2136072238","https://openalex.org/W2137235842","https://openalex.org/W2138396769","https://openalex.org/W2145404631","https://openalex.org/W2148317291","https://openalex.org/W2167435152","https://openalex.org/W2394650700","https://openalex.org/W2548485934","https://openalex.org/W2612984812","https://openalex.org/W2783940359","https://openalex.org/W2811122304","https://openalex.org/W2922386288","https://openalex.org/W2946615908","https://openalex.org/W2962970995","https://openalex.org/W3002216803","https://openalex.org/W3004529643","https://openalex.org/W3008750864","https://openalex.org/W3014183340","https://openalex.org/W3032547911","https://openalex.org/W3200450977","https://openalex.org/W3205259184","https://openalex.org/W3211490469","https://openalex.org/W4242065745","https://openalex.org/W4244508735"],"related_works":["https://openalex.org/W4390608645","https://openalex.org/W4247566972","https://openalex.org/W2960264696","https://openalex.org/W3090563135","https://openalex.org/W2497432351","https://openalex.org/W4206777497","https://openalex.org/W4318751391","https://openalex.org/W4233347783","https://openalex.org/W2910064364","https://openalex.org/W4390398949"],"abstract_inverted_index":{"Web":[0,17],"data":[1,10,24,57,61,119,144],"extraction":[2,55,62,100,120,145],"has":[3,22,105],"evolved":[4],"over":[5],"the":[6,26,76,85,109,136,140],"years":[7],"with":[8,98],"extracting":[9],"from":[11],"documents":[12],"to":[13,64,66,134],"today\u2019s":[14],"World":[15],"Wide":[16],"(WWW).":[18],"The":[19,39,72],"WWW":[20],"growth":[21],"placed":[23],"at":[25,34],"centre":[27],"of":[28,56,60,82,139],"this":[29,122],"ecosystem":[30],"and":[31,37,58,94],"benefited":[32],"society":[33],"large,":[35],"businesses":[36],"consumers.":[38],"proposed":[40,73,141],"system":[41,74],"uses":[42],"deep":[43],"learning":[44,103],"technique,":[45],"Faster":[46,77],"region":[47],"convolutional":[48],"neural":[49],"network":[50],"(R-CNN)":[51],"for":[52,80,112],"automated":[53,142],"navigation,":[54],"self-healing":[59,137],"engine":[63],"adapt":[65],"dynamic":[67],"changes":[68],"in":[69,84,108,118],"website":[70,128],"layout.":[71],"trains":[75],"R-CNN":[78],"model":[79],"detection":[81,92],"product":[83,96],"web":[86,143],"page":[87],"using":[88],"bounding":[89],"box":[90],"image":[91,113],"technique":[93,104],"extracts":[95],"details":[97],"high":[99],"accuracy.":[101],"Deep":[102],"advanced":[106],"rapidly":[107],"different":[110],"fields":[111],"detection,":[114],"but":[115],"its":[116],"application":[117],"makes":[121],"paper":[123],"unique.":[124],"An":[125],"ecommerce":[126],"retail":[127],"is":[129],"used":[130],"as":[131],"real-world":[132],"example":[133],"prove":[135],"capability":[138],"system.":[146]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
