{"id":"https://openalex.org/W7164801640","doi":"https://doi.org/10.1109/access.2026.3703443","title":"A Parse Table for \u03b5L <sup>+</sup> Language Using Top-Down Parsing Approach","display_name":"A Parse Table for \u03b5L <sup>+</sup> Language Using Top-Down Parsing Approach","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7164801640","doi":"https://doi.org/10.1109/access.2026.3703443"},"language":"en","primary_location":{"id":"doi:10.1109/access.2026.3703443","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2026.3703443","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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.2026.3703443","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5040326291","display_name":"Nathar Shah","orcid":null},"institutions":[{"id":"https://openalex.org/I173029219","display_name":"Multimedia University","ror":"https://ror.org/04zrbnc33","country_code":"MY","type":"education","lineage":["https://openalex.org/I173029219"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Nathar Shah","raw_affiliation_strings":["Faculty of Computing and Informatics, Multimedia University, Cyberjaya, Malaysia"],"raw_orcid":"https://orcid.org/0000-0002-1336-5952","affiliations":[{"raw_affiliation_string":"Faculty of Computing and Informatics, Multimedia University, Cyberjaya, Malaysia","institution_ids":["https://openalex.org/I173029219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5138683845","display_name":"Christopher Messom","orcid":null},"institutions":[{"id":"https://openalex.org/I56590836","display_name":"Monash University","ror":"https://ror.org/02bfwt286","country_code":"AU","type":"education","lineage":["https://openalex.org/I56590836"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Christopher Messom","raw_affiliation_strings":["Faculty of Information Technology, Monash University, Clayton, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, Monash University, Clayton, Australia","institution_ids":["https://openalex.org/I56590836"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.66534392,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"14","issue":null,"first_page":"100036","last_page":"100053"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.8989999890327454,"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":0.8989999890327454,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.007000000216066837,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.005499999970197678,"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/parsing","display_name":"Parsing","score":0.7879999876022339},{"id":"https://openalex.org/keywords/bottom-up-parsing","display_name":"Bottom-up parsing","score":0.5960000157356262},{"id":"https://openalex.org/keywords/table","display_name":"Table (database)","score":0.5070000290870667},{"id":"https://openalex.org/keywords/top-down-parsing","display_name":"Top-down parsing","score":0.38100001215934753},{"id":"https://openalex.org/keywords/lr-parser","display_name":"LR parser","score":0.3598000109195709},{"id":"https://openalex.org/keywords/top-down-parsing-language","display_name":"Top-down parsing language","score":0.34290000796318054}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8582000136375427},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.7879999876022339},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6492999792098999},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6327000260353088},{"id":"https://openalex.org/C60690694","wikidata":"https://www.wikidata.org/wiki/Q894902","display_name":"Bottom-up parsing","level":4,"score":0.5960000157356262},{"id":"https://openalex.org/C45235069","wikidata":"https://www.wikidata.org/wiki/Q278425","display_name":"Table (database)","level":2,"score":0.5070000290870667},{"id":"https://openalex.org/C42560504","wikidata":"https://www.wikidata.org/wiki/Q15419395","display_name":"Top-down parsing","level":3,"score":0.38100001215934753},{"id":"https://openalex.org/C35164859","wikidata":"https://www.wikidata.org/wiki/Q1756442","display_name":"LR parser","level":4,"score":0.3598000109195709},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.3443000018596649},{"id":"https://openalex.org/C166651950","wikidata":"https://www.wikidata.org/wiki/Q7824365","display_name":"Top-down parsing language","level":5,"score":0.34290000796318054},{"id":"https://openalex.org/C147547768","wikidata":"https://www.wikidata.org/wiki/Q3113342","display_name":"S-attributed grammar","level":3,"score":0.3093000054359436},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.27410000562667847},{"id":"https://openalex.org/C155092808","wikidata":"https://www.wikidata.org/wiki/Q182557","display_name":"Computational linguistics","level":2,"score":0.25999999046325684}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/access.2026.3703443","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2026.3703443","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:shdl.mmu.edu.my:16405","is_oa":false,"landing_page_url":"https://shdl.mmu.edu.my/16405/1/6.pdf","pdf_url":"https://shdl.mmu.edu.my/16405/1/6.pdf","source":{"id":"https://openalex.org/S4377196753","display_name":"Siti Hasmah Digital Library-MMU Institutiona Repository (Multimedia University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I173029219","host_organization_name":"Multimedia University","host_organization_lineage":["https://openalex.org/I173029219"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"pmh:oai:doaj.org/article:2f30cda1b6124885bff106eb64420dc7","is_oa":false,"landing_page_url":"https://doaj.org/article/2f30cda1b6124885bff106eb64420dc7","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 14, Pp 100036-100053 (2026)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2026.3703443","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2026.3703443","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"The":[0,79,165,202,256],"traditional":[1],"MapReduce":[2,59],"paradigm,":[3],"while":[4],"widely":[5],"adopted":[6],"for":[7,20,43,84,146,271],"its":[8,127],"scalability,":[9],"fault":[10],"tolerance,":[11],"and":[12,34,38,48,76,135,179,244],"ease":[13],"of":[14,89,107,117,153,253],"distributed":[15],"computing,":[16],"lacks":[17],"native":[18],"support":[19],"expressive":[21],"reasoning":[22,266],"capabilities.":[23],"This":[24],"limitation":[25],"becomes":[26],"increasingly":[27],"significant":[28,195],"in":[29,113,174,196],"domains":[30],"such":[31,224],"as":[32,225],"healthcare,":[33,213],"finance,":[35,234],"where":[36,275],"ontologies":[37,223],"description":[39],"logics":[40],"are":[41,194],"essential":[42],"enabling":[44,228],"intelligent":[45],"data":[46,74,273],"interpretation":[47],"decision-making.":[49],"Motivated":[50],"by":[51,99,161,188],"this":[52,98],"gap,":[53],"we":[54],"propose":[55],"an":[56,85,90,108],"Expressive":[57],"Hadoop":[58],"Framework":[60,87],"(EHMR)":[61],"based":[62,93],"on":[63],"the":[64,70,150,154,175,251],"\u2107\u2112+description":[65,91],"logic,":[66],"aiming":[67],"to":[68,122,126,141,157,183,218,249,259],"bridge":[69],"divide":[71],"between":[72,177,239],"scalable":[73],"processing":[75],"semantic":[77],"reasoning.":[78],"investigation":[80],"developed":[81,121],"a":[82,101,143],"frontend":[83],"EHMR":[86,204],"consisting":[88],"logic":[92],"parse":[94,144,155,166],"table.":[95],"We":[96,130,148],"achieved":[97],"formulating":[100],"new":[102],"normal":[103],"form":[104],"taking":[105],"advantage":[106],"inherent":[109],"tree-like":[110],"structure":[111],"present":[112],"\u2107\u2112+.":[114,147],"A":[115],"set":[116],"normalization":[118],"rules":[119,137],"were":[120],"convert":[123],"complex":[124,221],"\u2107\u2112+expressions":[125],"normalized":[128],"forms.":[129],"showcased":[131],"how":[132],"modified":[133],"FIRST":[134],"FOLLOW":[136],"can":[138,215,236],"be":[139,216],"used":[140,217],"build":[142],"table":[145,156,167],"evaluated":[149],"time":[151,171],"performance":[152,172],"several":[158],"workloads":[159],"generated":[160],"custom":[162],"benchmarking":[163],"suites.":[164],"is":[168,277],"having":[169],"better":[170],"results":[173,267],"range":[176],"O(n)":[178],"O(log":[180],"n)":[181],"compared":[182],"theoretical":[184],"polynomial":[185],"complexity":[186],"evidenced":[187],"\u2107\u2112+based":[189],"CEL":[190],"algorithm.":[191],"These":[192],"findings":[193],"providing":[197],"more":[198],"responsive":[199],"\u2107\u2112+query":[200],"answering.":[201],"proposed":[203],"framework":[205],"has":[206],"broad":[207],"applicability":[208],"across":[209],"various":[210],"domains.":[211],"In":[212,233],"it":[214,235,269],"reason":[219],"over":[220],"medical":[222],"SNOMED":[226],"CT,":[227],"real-time":[229],"clinical":[230],"decision":[231],"support.":[232],"model":[237],"relationships":[238],"economic":[240],"indicators,":[241],"asset":[242],"classes,":[243],"market":[245],"trends,":[246],"allowing":[247],"analysts":[248],"query":[250],"soundness":[252],"investment":[254],"strategies.":[255],"framework's":[257],"ability":[258],"handle":[260],"large-scale":[261],"knowledge":[262],"bases":[263],"with":[264],"precomputed":[265],"makes":[268],"suitable":[270],"big":[272],"environments":[274],"responsiveness":[276],"critical.":[278]},"counts_by_year":[],"updated_date":"2026-08-11T07:18:39.950985","created_date":"2026-06-16T00:00:00"}