{"id":"https://openalex.org/W4405717920","doi":"https://doi.org/10.1109/access.2024.3520706","title":"A Hybrid Machine Learning Model for Efficient XML Parsing","display_name":"A Hybrid Machine Learning Model for Efficient XML Parsing","publication_year":2024,"publication_date":"2024-12-23","ids":{"openalex":"https://openalex.org/W4405717920","doi":"https://doi.org/10.1109/access.2024.3520706"},"language":"en","primary_location":{"id":"doi:10.1109/access.2024.3520706","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3520706","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2024.3520706","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5049514696","display_name":"Muhammad Amjad Ali","orcid":"https://orcid.org/0000-0001-5381-7039"},"institutions":[{"id":"https://openalex.org/I127670440","display_name":"Bahauddin Zakariya University","ror":"https://ror.org/05x817c41","country_code":"PK","type":"education","lineage":["https://openalex.org/I127670440"]}],"countries":["PK"],"is_corresponding":true,"raw_author_name":"Muhammad Ali","raw_affiliation_strings":["Department of Computer Science, Bahauddin Zakariya University, Multan, Pakistan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Bahauddin Zakariya University, Multan, Pakistan","institution_ids":["https://openalex.org/I127670440"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100753305","display_name":"Minhaj Ahmad Khan","orcid":"https://orcid.org/0000-0002-2375-7829"},"institutions":[{"id":"https://openalex.org/I127670440","display_name":"Bahauddin Zakariya University","ror":"https://ror.org/05x817c41","country_code":"PK","type":"education","lineage":["https://openalex.org/I127670440"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Minhaj Ahmad Khan","raw_affiliation_strings":["Department of Computer Science, Bahauddin Zakariya University, Multan, Pakistan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Bahauddin Zakariya University, Multan, Pakistan","institution_ids":["https://openalex.org/I127670440"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024866294","display_name":"Raihan Ur Rasool","orcid":"https://orcid.org/0000-0001-9966-2466"},"institutions":[{"id":"https://openalex.org/I4210120068","display_name":"IBM Research - Australia","ror":"https://ror.org/027r3nx49","country_code":"AU","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115","https://openalex.org/I4210120068"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Raihan Ur Rasool","raw_affiliation_strings":["IBM Technologies, Melbourne, VIC, Australia","IBM Technologies, Australia"],"affiliations":[{"raw_affiliation_string":"IBM Technologies, Melbourne, VIC, Australia","institution_ids":["https://openalex.org/I4210120068"]},{"raw_affiliation_string":"IBM Technologies, Australia","institution_ids":["https://openalex.org/I4210120068"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5049514696"],"corresponding_institution_ids":["https://openalex.org/I127670440"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.3637,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.70231251,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"13","issue":null,"first_page":"382","last_page":"393"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9592000246047974,"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"}},"topics":[{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9592000246047974,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.9276999831199646,"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":0.8714550137519836},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.6103112697601318},{"id":"https://openalex.org/keywords/xml","display_name":"XML","score":0.5529652833938599},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5488151907920837},{"id":"https://openalex.org/keywords/simple-api-for-xml","display_name":"Simple API for XML","score":0.5164532661437988},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.49172666668891907},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.48408403992652893},{"id":"https://openalex.org/keywords/document-structure-description","display_name":"Document Structure Description","score":0.2959006726741791},{"id":"https://openalex.org/keywords/xml-signature","display_name":"XML Signature","score":0.24000611901283264},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.1652943193912506}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8714550137519836},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.6103112697601318},{"id":"https://openalex.org/C8797682","wikidata":"https://www.wikidata.org/wiki/Q2115","display_name":"XML","level":2,"score":0.5529652833938599},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5488151907920837},{"id":"https://openalex.org/C8595896","wikidata":"https://www.wikidata.org/wiki/Q577094","display_name":"Simple API for XML","level":5,"score":0.5164532661437988},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.49172666668891907},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.48408403992652893},{"id":"https://openalex.org/C68699486","wikidata":"https://www.wikidata.org/wiki/Q265904","display_name":"Document Structure Description","level":3,"score":0.2959006726741791},{"id":"https://openalex.org/C34330436","wikidata":"https://www.wikidata.org/wiki/Q979532","display_name":"XML Signature","level":4,"score":0.24000611901283264},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.1652943193912506}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2024.3520706","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3520706","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:9ec1b7457c0042e7a89c61c55a9b973c","is_oa":true,"landing_page_url":"https://doaj.org/article/9ec1b7457c0042e7a89c61c55a9b973c","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 13, Pp 382-393 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2024.3520706","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3520706","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W1514860827","https://openalex.org/W1754365911","https://openalex.org/W2008706768","https://openalex.org/W2031853118","https://openalex.org/W2056729522","https://openalex.org/W2059285029","https://openalex.org/W2087347434","https://openalex.org/W2117789987","https://openalex.org/W2119109770","https://openalex.org/W2129435924","https://openalex.org/W2133653471","https://openalex.org/W2136383162","https://openalex.org/W2140336071","https://openalex.org/W2145161087","https://openalex.org/W2153656408","https://openalex.org/W2153799932","https://openalex.org/W2161920802","https://openalex.org/W2167175022","https://openalex.org/W2490662969","https://openalex.org/W2563097698","https://openalex.org/W2568415986","https://openalex.org/W2568654085","https://openalex.org/W2569253189","https://openalex.org/W2576787043","https://openalex.org/W2578959729","https://openalex.org/W2604633730","https://openalex.org/W2605525395","https://openalex.org/W2789600509","https://openalex.org/W2798995613","https://openalex.org/W2806359329","https://openalex.org/W2900801016","https://openalex.org/W2939526242","https://openalex.org/W2944156532","https://openalex.org/W2944315498","https://openalex.org/W2951465297","https://openalex.org/W2954855419","https://openalex.org/W2969774765","https://openalex.org/W3045609419","https://openalex.org/W3113162495","https://openalex.org/W3135028703","https://openalex.org/W3149084432","https://openalex.org/W3160199995","https://openalex.org/W3161085879","https://openalex.org/W4239510810","https://openalex.org/W4391039758","https://openalex.org/W6602288617","https://openalex.org/W6632405476"],"related_works":["https://openalex.org/W4381248170","https://openalex.org/W2366867683","https://openalex.org/W3189621521","https://openalex.org/W2173794830","https://openalex.org/W1502858101","https://openalex.org/W2347775463","https://openalex.org/W2480494605","https://openalex.org/W1530730108","https://openalex.org/W2360843925","https://openalex.org/W2354621741"],"abstract_inverted_index":{"The":[0,45,113,137,169,188,222],"Extensible":[1],"Markup":[2],"Language":[3],"(XML)":[4],"files":[5,38],"are":[6,34],"extensively":[7],"used":[8],"for":[9,16,36,109,134],"representing":[10],"structured":[11],"data":[12,20],"on":[13,161,207],"the":[14,41,55,63,72,142,150,173,184,195,210,235],"web":[15,24],"file":[17,167],"configuration,":[18],"exchanging":[19],"between":[21],"distinct":[22],"applications,":[23],"development,":[25],"and":[26,52,68,101,119,130,157,179,225],"many":[27],"other":[28],"applications.":[29,44,58],"Consequently,":[30],"effective":[31],"parsing":[32,47,159,186,199,217,238],"techniques":[33,48,108,181],"necessary":[35],"XML":[37,85,111,123,138,220,239],"to":[39,182],"enhance":[40],"performance":[42,56,128,151,189,196,236],"of":[43,57,65,96,121,141,152,192,197,219,237],"existing":[46],"have":[49],"their":[50],"strengths":[51],"weaknesses":[53],"affecting":[54],"Researchers":[59],"point":[60],"out":[61],"that":[62,93],"selection":[64],"an":[66,215],"efficient":[67,110,135,216],"appropriate":[69,185],"parser":[70],"is":[71],"most":[73],"challenging":[74],"issue":[75],"regarding":[76],"a":[77,83,146,231],"particular":[78],"condition.":[79],"This":[80],"paper":[81],"proposes":[82],"framework":[84,116,144,228],"Parsing":[86],"Optimization":[87],"using":[88,125],"Hybrid":[89],"Machine":[90,104],"Learning":[91],"(XPOHML)":[92],"makes":[94],"use":[95],"Artificial":[97],"Neural":[98],"Network":[99],"(ANN)":[100],"Support":[102],"Vector":[103],"(SVM)":[105],"machine":[106],"learning":[107],"parsing.":[112,136],"newly":[114,223],"developed":[115,226],"performs":[117],"analysis":[118],"prediction":[120],"different":[122],"parsers":[124],"profiling,":[126],"classification,":[127],"evaluation,":[129],"finally":[131],"generates":[132,145],"code":[133,211],"profiling":[139],"phase":[140,171,191,213],"XPOHML":[143,193,227],"dataset":[147],"by":[148,164,176],"evaluating":[149],"PXTG,":[153],"SAX,":[154],"StAX,":[155],"DOM,":[156],"JDOM":[158],"models":[160,200],"separate":[162],"cores":[163],"applying":[165,177],"numerous":[166],"sizes.":[168],"Classification":[170],"produces":[172,214],"classification":[174,202],"model":[175,218],"ANN":[178],"SVM":[180],"identify":[183],"model.":[187],"evaluation":[190,208],"assesses":[194],"both":[198],"through":[201],"metrics":[203],"(accuracy).":[204],"Additionally,":[205],"based":[206],"outcomes,":[209],"generation":[212],"files.":[221,240],"designed":[224],"has":[229],"shown":[230],"meaningful":[232],"improvement":[233],"in":[234]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-12-22T23:10:17.713674","created_date":"2025-10-10T00:00:00"}