{"id":"https://openalex.org/W4410576482","doi":"https://doi.org/10.1007/978-981-95-7394-3_28","title":"DO-RAG: A Domain-Specific QA Framework Using Knowledge Graph-Enhanced Retrieval-Augmented Generation","display_name":"DO-RAG: A Domain-Specific QA Framework Using Knowledge Graph-Enhanced Retrieval-Augmented Generation","publication_year":2025,"publication_date":"2025-05-20","ids":{"openalex":"https://openalex.org/W4410576482","doi":"https://doi.org/10.1007/978-981-95-7394-3_28"},"language":"en","primary_location":{"id":"doi:10.1007/978-981-95-7394-3_28","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-981-95-7394-3_28","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"preprint","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.preprints.org/frontend/manuscript/6bcdfc3ddae808ff8ff9284ca005cf78/download_pub","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5117628075","display_name":"David Osei Opoku","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"David Osei Opoku","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0003-2051-9152","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069331173","display_name":"Ming Sheng","orcid":"https://orcid.org/0009-0002-8813-4558"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ming Sheng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5100343324","display_name":"Yong Zhang","orcid":"https://orcid.org/0000-0002-2689-5100"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yong Zhang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.04625035,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"406","last_page":"421"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9805999994277954,"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/T10028","display_name":"Topic Modeling","score":0.9805999994277954,"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":0.9718000292778015,"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/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9524000287055969,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6268779635429382},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.615125298500061},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5510528683662415},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4414115250110626},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.200594961643219}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6268779635429382},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.615125298500061},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5510528683662415},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4414115250110626},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.200594961643219}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/978-981-95-7394-3_28","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-981-95-7394-3_28","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},{"id":"doi:10.20944/preprints202505.1592.v1","is_oa":true,"landing_page_url":"https://doi.org/10.20944/preprints202505.1592.v1","pdf_url":"https://www.preprints.org/frontend/manuscript/6bcdfc3ddae808ff8ff9284ca005cf78/download_pub","source":{"id":"https://openalex.org/S6309402219","display_name":"Preprints.org","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"posted-content"}],"best_oa_location":{"id":"doi:10.20944/preprints202505.1592.v1","is_oa":true,"landing_page_url":"https://doi.org/10.20944/preprints202505.1592.v1","pdf_url":"https://www.preprints.org/frontend/manuscript/6bcdfc3ddae808ff8ff9284ca005cf78/download_pub","source":{"id":"https://openalex.org/S6309402219","display_name":"Preprints.org","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"posted-content"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4410576482.pdf","grobid_xml":"https://content.openalex.org/works/W4410576482.grobid-xml"},"referenced_works_count":16,"referenced_works":["https://openalex.org/W2106121453","https://openalex.org/W4384071683","https://openalex.org/W4391226472","https://openalex.org/W4393152682","https://openalex.org/W4400118952","https://openalex.org/W4401754921","https://openalex.org/W4403281834","https://openalex.org/W4404818383","https://openalex.org/W4404818419","https://openalex.org/W4404818474","https://openalex.org/W4405090398","https://openalex.org/W4409362846","https://openalex.org/W4411119292","https://openalex.org/W4411119833","https://openalex.org/W4411120113","https://openalex.org/W4414281281"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Domain-specific":[0],"QA":[1,48,145],"systems":[2],"require":[3],"not":[4],"just":[5],"generative":[6],"fluency":[7],"but":[8],"high":[9],"factual":[10],"accuracy":[11],"grounded":[12,103],"in":[13,107],"structured":[14,70],"expert":[15],"knowledge.":[16],"While":[17],"recent":[18],"Retrieval-Augmented":[19],"Generation":[20],"(RAG)":[21],"frameworks":[22,125],"improve":[23],"context":[24],"recall,":[25],"they":[26],"struggle":[27],"with":[28,56,121],"integrating":[29],"heterogeneous":[30],"data":[31],"and":[32,45,90,110,116,134],"maintaining":[33],"reasoning":[34],"consistency.":[35],"To":[36],"address":[37],"these":[38],"challenges,":[39],"we":[40],"propose":[41],"DO-RAG,":[42],"a":[43,63,139],"scalable":[44],"customizable":[46],"hybrid":[47],"framework":[49],"that":[50,80],"integrates":[51],"multi-level":[52],"knowledge":[53,78],"graph":[54,89],"construction":[55],"semantic":[57],"vector":[58,91],"retrieval.":[59],"Our":[60],"system":[61],"employs":[62],"novel":[64],"agentic":[65],"chain-of-thought":[66],"architecture":[67],"to":[68,94,128],"extract":[69],"relationships":[71],"from":[72],"unstructured,":[73],"multimodal":[74],"documents,":[75],"constructing":[76],"dynamic":[77],"graphs":[79],"enhance":[81],"retrieval":[82,92],"precision.":[83],"At":[84],"query":[85],"time,":[86],"DO-RAG":[87,122,137],"fuses":[88],"results":[93],"generate":[95],"context-aware":[96],"responses,":[97],"followed":[98],"by":[99,126],"hallucination":[100],"mitigation":[101],"via":[102],"refinement.":[104],"Experimental":[105],"evaluations":[106],"the":[108],"database":[109],"electrical":[111],"domains":[112],"show":[113],"near-perfect":[114],"recall":[115],"over":[117],"94%":[118],"answer":[119],"relevancy,":[120],"outperforming":[123],"baseline":[124],"up":[127],"33.38%.":[129],"By":[130],"combining":[131],"traceability,":[132],"adaptability,":[133],"performance":[135],"efficiency,":[136],"offers":[138],"reliable":[140],"foundation":[141],"for":[142],"multi-domain,":[143],"high-precision":[144],"at":[146],"scale.":[147]},"counts_by_year":[],"updated_date":"2026-06-13T07:54:00.901334","created_date":"2025-10-10T00:00:00"}