{"id":"https://openalex.org/W7117292292","doi":"https://doi.org/10.1109/access.2025.3648942","title":"A Benchmarking Blueprint for Ontology-Based Information Retrieval in Large-Scale Knowledge Systems","display_name":"A Benchmarking Blueprint for Ontology-Based Information Retrieval in Large-Scale Knowledge Systems","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W7117292292","doi":"https://doi.org/10.1109/access.2025.3648942"},"language":"en","primary_location":{"id":"doi:10.1109/access.2025.3648942","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3648942","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.2025.3648942","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5121310019","display_name":"N. Sassi","orcid":null},"institutions":[{"id":"https://openalex.org/I4626487","display_name":"King Faisal University","ror":"https://ror.org/00dn43547","country_code":"SA","type":"education","lineage":["https://openalex.org/I4626487"]}],"countries":["SA"],"is_corresponding":true,"raw_author_name":"N. Sassi","raw_affiliation_strings":["Department of Management Information Systems, School of Business, King Faisal University, Al Ahsa, Saudi Arabia"],"raw_orcid":"https://orcid.org/0000-0002-5249-3578","affiliations":[{"raw_affiliation_string":"Department of Management Information Systems, School of Business, King Faisal University, Al Ahsa, Saudi Arabia","institution_ids":["https://openalex.org/I4626487"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5121310019"],"corresponding_institution_ids":["https://openalex.org/I4626487"],"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":0.60674475,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"13","issue":null,"first_page":"217452","last_page":"217469"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.6078000068664551,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.6078000068664551,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.22660000622272491,"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/T10286","display_name":"Information Retrieval and Search Behavior","score":0.08179999887943268,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/blueprint","display_name":"Blueprint","score":0.8011000156402588},{"id":"https://openalex.org/keywords/benchmarking","display_name":"Benchmarking","score":0.7894999980926514},{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.5947999954223633},{"id":"https://openalex.org/keywords/ontology","display_name":"Ontology","score":0.5185999870300293},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.49619999527931213},{"id":"https://openalex.org/keywords/scope","display_name":"Scope (computer science)","score":0.4916999936103821},{"id":"https://openalex.org/keywords/bridge","display_name":"Bridge (graph theory)","score":0.46160000562667847},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.4611999988555908}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8335000276565552},{"id":"https://openalex.org/C155911762","wikidata":"https://www.wikidata.org/wiki/Q422321","display_name":"Blueprint","level":2,"score":0.8011000156402588},{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.7894999980926514},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.6643999814987183},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.5947999954223633},{"id":"https://openalex.org/C25810664","wikidata":"https://www.wikidata.org/wiki/Q44325","display_name":"Ontology","level":2,"score":0.5185999870300293},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.49619999527931213},{"id":"https://openalex.org/C2778012447","wikidata":"https://www.wikidata.org/wiki/Q1034415","display_name":"Scope (computer science)","level":2,"score":0.4916999936103821},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4620000123977661},{"id":"https://openalex.org/C100776233","wikidata":"https://www.wikidata.org/wiki/Q2532492","display_name":"Bridge (graph theory)","level":2,"score":0.46160000562667847},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.4611999988555908},{"id":"https://openalex.org/C2775922551","wikidata":"https://www.wikidata.org/wiki/Q7135033","display_name":"Parallels","level":2,"score":0.42640000581741333},{"id":"https://openalex.org/C180198813","wikidata":"https://www.wikidata.org/wiki/Q121182","display_name":"Information system","level":2,"score":0.359499990940094},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.335999995470047},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.3149000108242035},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.30250000953674316},{"id":"https://openalex.org/C55439883","wikidata":"https://www.wikidata.org/wiki/Q360812","display_name":"Correctness","level":2,"score":0.29589998722076416},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.29120001196861267},{"id":"https://openalex.org/C161156560","wikidata":"https://www.wikidata.org/wiki/Q1638872","display_name":"Document retrieval","level":2,"score":0.28360000252723694},{"id":"https://openalex.org/C2780385302","wikidata":"https://www.wikidata.org/wiki/Q367158","display_name":"Protocol (science)","level":3,"score":0.2791000008583069},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.26759999990463257},{"id":"https://openalex.org/C90288658","wikidata":"https://www.wikidata.org/wiki/Q3318149","display_name":"Human\u2013computer information retrieval","level":3,"score":0.25929999351501465}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2025.3648942","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3648942","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:doaj.org/article:b9683ab866794450bd891f20ad46b3c5","is_oa":true,"landing_page_url":"https://doaj.org/article/b9683ab866794450bd891f20ad46b3c5","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":"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 13, Pp 217452-217469 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2025.3648942","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3648942","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":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.47014671564102173}],"awards":[{"id":"https://openalex.org/G6828507929","display_name":null,"funder_award_id":"KFU253447","funder_id":"https://openalex.org/F4320322804","funder_display_name":"Deanship of Scientific Research, King Faisal University"}],"funders":[{"id":"https://openalex.org/F4320322804","display_name":"Deanship of Scientific Research, King Faisal University","ror":"https://ror.org/00dn43547"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Information":[0],"retrieval":[1,211],"increasingly":[2],"relies":[3],"on":[4],"semantics":[5],"to":[6,52],"bridge":[7],"the":[8,154,195,198],"gap":[9],"between":[10],"user":[11],"intent":[12],"and":[13,26,70,117,141,161,171,197,207,218],"document":[14],"meaning.":[15],"Yet":[16],"evaluations":[17],"of":[18,90],"ontology-based":[19,209],"systems":[20,107],"remain":[21],"fragmented,":[22],"which":[23,91],"blurs":[24],"comparisons":[25],"weakens":[27],"reproducibility.":[28],"This":[29],"work":[30],"presents":[31],"a":[32,36,43,58,66,71,149,179,201],"standards-oriented":[33],"survey":[34],"with":[35,83,181,183],"PRISMA-guided":[37],"evidence":[38,199],"synthesis.":[39],"It":[40],"also":[41],"introduces":[42],"minimal":[44],"benchmarking":[45],"blueprint":[46,196],"that":[47],"links":[48],"ontology":[49,169],"design":[50],"choices":[51],"evaluation":[53,68],"practice.":[54],"Rather":[55,143],"than":[56,132,144],"proposing":[57],"new":[59],"retriever,":[60],"we":[61,147],"codify":[62],"prevailing":[63],"practice":[64],"into":[65],"concise":[67],"workflow":[69,164],"standards-aligned":[72],"reporting":[73],"framework":[74],"intended":[75],"for":[76,96,105,191],"low-overhead":[77],"adoption.":[78],"A":[79],"structured":[80],"search":[81],"(2010\u20132025)":[82],"transparent":[84],"screening":[85],"identified":[86],"47":[87],"eligible":[88],"studies,":[89],"38":[92],"reported":[93],"sufficient":[94],"data":[95],"random-effects":[97,100],"meta-analysis.":[98],"The":[99,163,174],"meta-analysis":[101],"indicates":[102],"typical":[103],"gains":[104],"ontology-enhanced":[106],"in":[108,212],"precision":[109],"(Hedges\u2019":[110],"g":[111],"\u2248":[112],"0.81),":[113],"recall":[114],"(\u2248":[115,119],"1.12),":[116],"F1":[118],"0.93).":[120],"Given":[121],"substantial":[122],"heterogeneity,":[123],"these":[124],"estimates":[125],"are":[126],"read":[127],"as":[128,178,215],"indicative":[129],"ranges":[130],"rather":[131],"point":[133],"guarantees;":[134],"sensitivity":[135],"checks":[136],"nonetheless":[137],"preserved":[138],"both":[139],"direction":[140],"magnitude.":[142],"broad":[145],"claims,":[146],"emphasize":[148],"practical":[150],"six-step":[151],"workflow:":[152],"scope":[153],"ontology,":[155],"annotate/index,":[156],"understand":[157],"queries,":[158],"retrieve/re-rank,":[159],"evaluate":[160],"report.":[162],"specifies":[165],"required":[166],"baselines,":[167],"metrics@k,":[168],"provenance,":[170],"variance":[172],"reporting.":[173],"manuscript":[175],"is":[176],"positioned":[177],"Survey/SLR":[180],"meta-analysis,":[182],"any":[184],"pragmatic":[185],"departures":[186],"from":[187],"full":[188],"PRISMA":[189],"documented":[190],"transparency.":[192],"Taken":[193],"together,":[194],"outline":[200],"realistic":[202],"path":[203],"toward":[204],"more":[205],"comparable":[206],"explainable":[208],"information":[210],"domains":[213],"such":[214],"healthcare,":[216],"law,":[217],"scientific":[219],"knowledge.":[220]},"counts_by_year":[],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-12-26T00:00:00"}
