{"id":"https://openalex.org/W2903778898","doi":"https://doi.org/10.1109/access.2018.2885640","title":"Smart Information Retrieval: Domain Knowledge Centric Optimization Approach","display_name":"Smart Information Retrieval: Domain Knowledge Centric Optimization Approach","publication_year":2018,"publication_date":"2018-12-07","ids":{"openalex":"https://openalex.org/W2903778898","doi":"https://doi.org/10.1109/access.2018.2885640","mag":"2903778898"},"language":"en","primary_location":{"id":"doi:10.1109/access.2018.2885640","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2885640","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08567894.pdf","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://ieeexplore.ieee.org/ielx7/6287639/8600701/08567894.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5028685281","display_name":"Abduladem Aljamel","orcid":"https://orcid.org/0000-0002-7289-749X"},"institutions":[{"id":"https://openalex.org/I52590639","display_name":"Nottingham Trent University","ror":"https://ror.org/04xyxjd90","country_code":"GB","type":"education","lineage":["https://openalex.org/I52590639"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Abduladem Aljamel","raw_affiliation_strings":["Department of Computing, Nottingham Trent University, Nottingham, U.K"],"affiliations":[{"raw_affiliation_string":"Department of Computing, Nottingham Trent University, Nottingham, U.K","institution_ids":["https://openalex.org/I52590639"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028312211","display_name":"Taha Osman","orcid":"https://orcid.org/0000-0001-8781-2658"},"institutions":[{"id":"https://openalex.org/I52590639","display_name":"Nottingham Trent University","ror":"https://ror.org/04xyxjd90","country_code":"GB","type":"education","lineage":["https://openalex.org/I52590639"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Taha Osman","raw_affiliation_strings":["Department of Computing, Nottingham Trent University, Nottingham, U.K"],"affiliations":[{"raw_affiliation_string":"Department of Computing, Nottingham Trent University, Nottingham, U.K","institution_ids":["https://openalex.org/I52590639"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023375107","display_name":"Giovanni Acampora","orcid":"https://orcid.org/0000-0003-4082-5616"},"institutions":[{"id":"https://openalex.org/I71267560","display_name":"University of Naples Federico II","ror":"https://ror.org/05290cv24","country_code":"IT","type":"education","lineage":["https://openalex.org/I71267560"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Giovanni Acampora","raw_affiliation_strings":["Department of Physics, University of Naples Federico II, Naples, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Physics, University of Naples Federico II, Naples, Italy","institution_ids":["https://openalex.org/I71267560"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082199687","display_name":"Autilia Vitiello","orcid":"https://orcid.org/0000-0001-5562-9226"},"institutions":[{"id":"https://openalex.org/I131729948","display_name":"University of Salerno","ror":"https://ror.org/0192m2k53","country_code":"IT","type":"education","lineage":["https://openalex.org/I131729948"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Autilia Vitiello","raw_affiliation_strings":["Department of Computer Science, University of Salerno, Fisciano, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Salerno, Fisciano, Italy","institution_ids":["https://openalex.org/I131729948"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100404392","display_name":"Ziqi Zhang","orcid":"https://orcid.org/0000-0002-8587-8618"},"institutions":[{"id":"https://openalex.org/I91136226","display_name":"University of Sheffield","ror":"https://ror.org/05krs5044","country_code":"GB","type":"education","lineage":["https://openalex.org/I91136226"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Ziqi Zhang","raw_affiliation_strings":["Information School, The University of Sheffield, Sheffield, U.K"],"affiliations":[{"raw_affiliation_string":"Information School, The University of Sheffield, Sheffield, U.K","institution_ids":["https://openalex.org/I91136226"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5028685281"],"corresponding_institution_ids":["https://openalex.org/I52590639"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.0153,"has_fulltext":true,"cited_by_count":14,"citation_normalized_percentile":{"value":0.83273049,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"7","issue":null,"first_page":"4167","last_page":"4183"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9977999925613403,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9977999925613403,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9972000122070312,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.984000027179718,"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":0.822943389415741},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6230743527412415},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.600882887840271},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.4839520752429962},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4538324177265167},{"id":"https://openalex.org/keywords/domain-knowledge","display_name":"Domain knowledge","score":0.45024678111076355},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.43652045726776123},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.42967894673347473},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.42940789461135864},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.1534968614578247}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.822943389415741},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6230743527412415},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.600882887840271},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.4839520752429962},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4538324177265167},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.45024678111076355},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.43652045726776123},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.42967894673347473},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.42940789461135864},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.1534968614578247}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/access.2018.2885640","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2885640","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08567894.pdf","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:eprints.whiterose.ac.uk:153928","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306400854","display_name":"White Rose Research Online (University of Leeds, The University of Sheffield, University of York)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2800616092","host_organization_name":"White Rose University Consortium","host_organization_lineage":["https://openalex.org/I2800616092"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Article"},{"id":"pmh:oai:doaj.org/article:cc9a0c32d98b48e8b27ed932e65bd88f","is_oa":true,"landing_page_url":"https://doaj.org/article/cc9a0c32d98b48e8b27ed932e65bd88f","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-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 7, Pp 4167-4183 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2018.2885640","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2885640","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08567894.pdf","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":[{"score":0.6399999856948853,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2903778898.pdf","grobid_xml":"https://content.openalex.org/works/W2903778898.grobid-xml"},"referenced_works_count":55,"referenced_works":["https://openalex.org/W908833634","https://openalex.org/W1515787069","https://openalex.org/W1525460779","https://openalex.org/W1562647876","https://openalex.org/W1570448133","https://openalex.org/W1608462205","https://openalex.org/W2004633095","https://openalex.org/W2018152171","https://openalex.org/W2021968313","https://openalex.org/W2027266048","https://openalex.org/W2044259175","https://openalex.org/W2066496894","https://openalex.org/W2067983477","https://openalex.org/W2072398821","https://openalex.org/W2082754320","https://openalex.org/W2097998348","https://openalex.org/W2099320393","https://openalex.org/W2103482121","https://openalex.org/W2103919309","https://openalex.org/W2107598941","https://openalex.org/W2156773695","https://openalex.org/W2159721973","https://openalex.org/W2167101736","https://openalex.org/W2170934897","https://openalex.org/W2180466864","https://openalex.org/W2186441820","https://openalex.org/W2215206286","https://openalex.org/W2294246171","https://openalex.org/W2295301034","https://openalex.org/W2317479377","https://openalex.org/W2508498351","https://openalex.org/W2509527900","https://openalex.org/W2560103205","https://openalex.org/W2594746820","https://openalex.org/W2612467493","https://openalex.org/W2641990852","https://openalex.org/W2740589650","https://openalex.org/W2778993644","https://openalex.org/W2787149128","https://openalex.org/W2790661630","https://openalex.org/W3014813097","https://openalex.org/W3121530892","https://openalex.org/W4236362309","https://openalex.org/W4248072700","https://openalex.org/W6624178476","https://openalex.org/W6631561801","https://openalex.org/W6631792174","https://openalex.org/W6674385629","https://openalex.org/W6674860632","https://openalex.org/W6680007464","https://openalex.org/W6730045488","https://openalex.org/W6735002202","https://openalex.org/W6741613141","https://openalex.org/W6748315477","https://openalex.org/W7052986284"],"related_works":["https://openalex.org/W4234874385","https://openalex.org/W2323648130","https://openalex.org/W2157140558","https://openalex.org/W2378782423","https://openalex.org/W2090763504","https://openalex.org/W2388988621","https://openalex.org/W148178222","https://openalex.org/W2357797405","https://openalex.org/W2366623913","https://openalex.org/W2374905595"],"abstract_inverted_index":{"In":[0],"the":[1,4,30,35,52,69,91,105,111,115,119,123,129,140,144,151,156,169,199],"age":[2],"of":[3,6,17,29,54,73,93,122,150],"Internet":[5],"Things,":[7],"online":[8],"data":[9,37],"have":[10],"witnessed":[11],"a":[12,43,87],"significant":[13,88],"growth":[14],"in":[15,34,114,165,168],"terms":[16],"volume":[18],"and":[19,21,71,80,127,163,189],"diversity,":[20],"research":[22,32],"into":[23],"information":[24,74],"retrieval":[25],"has":[26],"become":[27],"one":[28],"important":[31],"themes":[33],"Internet-oriented":[36],"science":[38],"research.":[39],"This":[40],"paper":[41],"introduces":[42],"novel":[44],"domain":[45,94],"knowledge":[46],"centric":[47],"methodology":[48,85,153],"aimed":[49],"at":[50],"improving":[51],"accuracy":[53,70],"using":[55,205],"machine":[56,179],"learning":[57,125,145,180],"methods":[58],"for":[59,132,143],"relation":[60,96,106,166],"extraction":[61,97,167],"from":[62],"text":[63],"data,":[64,109],"which":[65,135],"is":[66,194],"critical":[67],"to":[68,90,103,138],"efficiency":[72],"retrieval-based":[75],"applications,":[76],"including":[77,98],"recommender":[78],"systems":[79],"sentiment":[81],"analysis.":[82,209],"The":[83,147,177,192],"proposed":[84,152],"makes":[86],"contribution":[89],"processes":[92],"knowledge-based":[95],"interrogating":[99],"Linked":[100],"Open":[101],"Datasets":[102],"generate":[104],"classification":[107,113],"training":[108,116],"addressing":[110],"imbalanced":[112],"datasets,":[117],"determining":[118],"probability":[120],"threshold":[121],"best":[124],"algorithm,":[126],"establishing":[128],"optimum":[130],"parameters":[131],"genetic":[133],"algorithms,":[134],"were":[136],"utilized":[137],"optimize":[139],"feature":[141,171],"selection":[142],"algorithms.":[146],"experimental":[148],"evaluation":[149],"reveals":[154],"that":[155],"adopted":[157],"machine-learning":[158],"algorithms":[159],"exhibit":[160],"higher":[161],"precision":[162],"recall":[164],"reduced":[170],"space":[172],"optimized":[173],"by":[174,196],"our":[175],"implementation.":[176],"considered":[178],"includes":[181],"support":[182],"vector":[183],"machine,":[184],"perceptron":[185],"algorithm":[186,204],"uneven":[187],"margin,":[188],"K-nearest":[190],"neighbors.":[191],"outcome":[193],"verified":[195],"comparing":[197],"against":[198],"random":[200],"mutation":[201],"hill-climbing":[202],"optimization":[203],"Wilcoxon":[206],"signed-rank":[207],"statistical":[208]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2023,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
