{"id":"https://openalex.org/W2741253350","doi":"https://doi.org/10.4018/ijsi.2017100104","title":"A Novel Approach for Ontology-Based Dimensionality Reduction for Web Text Document Classification","display_name":"A Novel Approach for Ontology-Based Dimensionality Reduction for Web Text Document Classification","publication_year":2017,"publication_date":"2017-08-01","ids":{"openalex":"https://openalex.org/W2741253350","doi":"https://doi.org/10.4018/ijsi.2017100104","mag":"2741253350"},"language":"en","primary_location":{"id":"doi:10.4018/ijsi.2017100104","is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijsi.2017100104","pdf_url":null,"source":{"id":"https://openalex.org/S4210228539","display_name":"International Journal of Software Innovation","issn_l":"2166-7160","issn":["2166-7160","2166-7179"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Software Innovation","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/A5043201638","display_name":"Mohamed K. Elhadad","orcid":null},"institutions":[{"id":"https://openalex.org/I4210100308","display_name":"Military Technical College","ror":"https://ror.org/01337pb37","country_code":"EG","type":"education","lineage":["https://openalex.org/I4210100308"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Mohamed K. Elhadad","raw_affiliation_strings":["Military Technical College, Cairo, Egypt"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Military Technical College, Cairo, Egypt","institution_ids":["https://openalex.org/I4210100308"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022578396","display_name":"Khaled Badran","orcid":"https://orcid.org/0000-0002-7324-7886"},"institutions":[{"id":"https://openalex.org/I4210100308","display_name":"Military Technical College","ror":"https://ror.org/01337pb37","country_code":"EG","type":"education","lineage":["https://openalex.org/I4210100308"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Khaled M. Badran","raw_affiliation_strings":["Military Technical College, Cairo, Egypt"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Military Technical College, Cairo, Egypt","institution_ids":["https://openalex.org/I4210100308"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026944775","display_name":"Gouda I. Salama","orcid":"https://orcid.org/0000-0003-0894-2257"},"institutions":[{"id":"https://openalex.org/I4210100308","display_name":"Military Technical College","ror":"https://ror.org/01337pb37","country_code":"EG","type":"education","lineage":["https://openalex.org/I4210100308"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Gouda I. Salama","raw_affiliation_strings":["Military Technical College, Cairo, Egypt"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Military Technical College, Cairo, Egypt","institution_ids":["https://openalex.org/I4210100308"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210100308"],"apc_list":null,"apc_paid":null,"fwci":0.6195,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.77122201,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"5","issue":"4","first_page":"44","last_page":"58"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9987999796867371,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9987999796867371,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9876000285148621,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9836999773979187,"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/tf\u2013idf","display_name":"tf\u2013idf","score":0.8110941648483276},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7374097108840942},{"id":"https://openalex.org/keywords/wordnet","display_name":"WordNet","score":0.6977939605712891},{"id":"https://openalex.org/keywords/vector-space-model","display_name":"Vector space model","score":0.6722567081451416},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.5358492136001587},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.5268489122390747},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5062776803970337},{"id":"https://openalex.org/keywords/ontology","display_name":"Ontology","score":0.49475330114364624},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.48948824405670166},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.48765313625335693},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48504966497421265},{"id":"https://openalex.org/keywords/document-clustering","display_name":"Document clustering","score":0.48442819714546204},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4838218092918396},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4631494879722595},{"id":"https://openalex.org/keywords/document-classification","display_name":"Document classification","score":0.4582379162311554},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4560946226119995},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.42818158864974976},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.29673343896865845}],"concepts":[{"id":"https://openalex.org/C81758059","wikidata":"https://www.wikidata.org/wiki/Q796584","display_name":"tf\u2013idf","level":3,"score":0.8110941648483276},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7374097108840942},{"id":"https://openalex.org/C157659113","wikidata":"https://www.wikidata.org/wiki/Q533822","display_name":"WordNet","level":2,"score":0.6977939605712891},{"id":"https://openalex.org/C89686163","wikidata":"https://www.wikidata.org/wiki/Q1187982","display_name":"Vector space model","level":2,"score":0.6722567081451416},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.5358492136001587},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.5268489122390747},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5062776803970337},{"id":"https://openalex.org/C25810664","wikidata":"https://www.wikidata.org/wiki/Q44325","display_name":"Ontology","level":2,"score":0.49475330114364624},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.48948824405670166},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.48765313625335693},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48504966497421265},{"id":"https://openalex.org/C177937566","wikidata":"https://www.wikidata.org/wiki/Q4223102","display_name":"Document clustering","level":3,"score":0.48442819714546204},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4838218092918396},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4631494879722595},{"id":"https://openalex.org/C2780479914","wikidata":"https://www.wikidata.org/wiki/Q302088","display_name":"Document classification","level":2,"score":0.4582379162311554},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4560946226119995},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.42818158864974976},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.29673343896865845},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.4018/ijsi.2017100104","is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijsi.2017100104","pdf_url":null,"source":{"id":"https://openalex.org/S4210228539","display_name":"International Journal of Software Innovation","issn_l":"2166-7160","issn":["2166-7160","2166-7179"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Software Innovation","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W298402441","https://openalex.org/W1532325895","https://openalex.org/W1542064421","https://openalex.org/W1572163287","https://openalex.org/W1965667542","https://openalex.org/W1982024311","https://openalex.org/W1987874268","https://openalex.org/W2026937586","https://openalex.org/W2028062940","https://openalex.org/W2058990119","https://openalex.org/W2122600670","https://openalex.org/W2140190241","https://openalex.org/W2170505850","https://openalex.org/W2313110913","https://openalex.org/W2317261134","https://openalex.org/W2400018366","https://openalex.org/W2416225213","https://openalex.org/W2508944576","https://openalex.org/W2567092460","https://openalex.org/W2571942414","https://openalex.org/W2621917041","https://openalex.org/W2803528014","https://openalex.org/W2951798058","https://openalex.org/W3104164593","https://openalex.org/W4213009331","https://openalex.org/W4241632459","https://openalex.org/W4285719527","https://openalex.org/W6632271960","https://openalex.org/W6680704940","https://openalex.org/W6687181900"],"related_works":["https://openalex.org/W2126296557","https://openalex.org/W2975262101","https://openalex.org/W2051971075","https://openalex.org/W2007656064","https://openalex.org/W2029157577","https://openalex.org/W2322197078","https://openalex.org/W1497797541","https://openalex.org/W2726112979","https://openalex.org/W2151100221","https://openalex.org/W2741253350"],"abstract_inverted_index":{"Dimensionality":[0],"reduction":[1,94],"of":[2,22,47,68,86,95,158],"feature":[3,24,49,78,97],"vector":[4,25,50,79,98],"size":[5,21,46,99],"plays":[6],"a":[7,131,169],"vital":[8],"role":[9],"in":[10,18,27,43],"enhancing":[11],"the":[12,20,23,28,45,48,66,76,93,96,104,109,121,143,156,159],"text":[13,53,118],"processing":[14],"capabilities;":[15],"it":[16],"aims":[17],"reducing":[19,44],"used":[26,42,115,129],"mining":[29,107],"tasks":[30],"(classification,":[31],"clustering,":[32],"etc.).":[33],"This":[34,57],"paper":[35],"proposes":[36],"an":[37],"efficient":[38],"approach":[39,58,139,148,162],"to":[40,72,92,116,167],"be":[41],"for":[51],"web":[52],"document":[54],"classification":[55,171],"process.":[56],"is":[59,114,128],"based":[60,138],"on":[61,103],"using":[62,149],"WordNet":[63,87],"ontology,":[64],"utilizing":[65],"benefit":[67],"its":[69],"hierarchal":[70],"structure,":[71],"eliminate":[73],"words":[74],"from":[75],"generated":[77],"that":[80],"has":[81],"no":[82],"relation":[83],"with":[84],"any":[85],"lexical":[88],"categories;":[89],"this":[90],"leads":[91],"without":[100],"losing":[101],"information":[102],"text.":[105],"For":[106],"tasks,":[108],"Vector":[110],"Space":[111],"Model":[112],"(VSM)":[113],"represent":[117],"documents":[119],"and":[120,175],"Term":[122],"Frequency":[123,126],"Inverse":[124],"Document":[125],"(TFIDF)":[127],"as":[130],"term":[132],"weighting":[133],"method.":[134],"The":[135,152],"proposed":[136,161],"ontology":[137],"was":[140],"evaluated":[141],"against":[142,163],"Principal":[144],"component":[145],"analysis":[146],"(PCA)":[147],"several":[150],"experiments.":[151],"experimental":[153],"results":[154],"reveal":[155],"effectiveness":[157],"authors'":[160],"other":[164],"traditional":[165],"approaches":[166],"achieve":[168],"better":[170],"accuracy":[172],"F-measure,":[173],"precision,":[174],"recall.":[176]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
