{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,3]],"date-time":"2026-03-03T05:06:41Z","timestamp":1772514401127,"version":"3.50.1"},"reference-count":63,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2026,3,3]],"date-time":"2026-03-03T00:00:00Z","timestamp":1772496000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,3,3]],"date-time":"2026-03-03T00:00:00Z","timestamp":1772496000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Knowl Inf Syst"],"published-print":{"date-parts":[[2026,12]]},"DOI":"10.1007\/s10115-026-02699-0","type":"journal-article","created":{"date-parts":[[2026,3,3]],"date-time":"2026-03-03T02:02:35Z","timestamp":1772503355000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Ontology-based knowledge modeling approach for big data analysis of interdependent health conditions in the diagnosis of non-communicable diseases"],"prefix":"10.1007","volume":"68","author":[{"given":"Ritesh","family":"Chandra","sequence":"first","affiliation":[]},{"given":"Sonali","family":"Agarwal","sequence":"additional","affiliation":[]},{"given":"Navjot","family":"Singh","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2026,3,3]]},"reference":[{"issue":"11","key":"2699_CR1","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-024-10938-5","volume":"57","author":"A Badshah","year":"2024","unstructured":"Badshah A, Daud A, Alharbey R, Banjar A, Bukhari A, Alshemaimri B (2024) Big data applications: overview, challenges and future. Artif Intell Rev 57(11):290","journal-title":"Artif Intell Rev"},{"key":"2699_CR2","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2024.127258","volume":"574","author":"F Berloco","year":"2024","unstructured":"Berloco F, Bevilacqua V, Colucci S (2024) Distributed analytics for big data: a survey. Neurocomputing 574:127258","journal-title":"Neurocomputing"},{"key":"2699_CR3","doi-asserted-by":"publisher","first-page":"6884","DOI":"10.1109\/TASE.2024.3456209","volume":"22","author":"K Gupta","year":"2024","unstructured":"Gupta K, Saxena D, Rani P, Kumar J, Makkar A, Singh AK, Lee CN (2024) An intelligent quantum cyber-security framework for healthcare data management. IEEE Trans Autom Sci Eng 22:6884\u20136895","journal-title":"IEEE Trans Autom Sci Eng"},{"key":"2699_CR4","doi-asserted-by":"crossref","unstructured":"Zhang L, Li J, Li X, Lian F, Downs RR, Fakhruddin B, Han Q (2024) Advancing global resilience through open data resources and services in disaster risk reduction. Data Sci J 23","DOI":"10.5334\/dsj-2024-054"},{"key":"2699_CR5","volume":"14","author":"A Agarwal","year":"2025","unstructured":"Agarwal A, Singh G, Jain S, Mittal P (2025) Beyond boundaries: charting the frontier of healthcare with big data and AI advancements in pharmacovigilance. Health Sci Rev 14:100214","journal-title":"Health Sci Rev"},{"issue":"2","key":"2699_CR6","first-page":"151","volume":"8","author":"A Pikula","year":"2024","unstructured":"Pikula A, Gulati M, Bonnet JP, Ibrahim S, Chamoun S, Freeman AM, Reddy K (2024) Promise of lifestyle medicine for heart disease, diabetes mellitus, and cerebrovascular diseases. Mayo Clinic Proc: Innov Quality Outcomes 8(2):151\u2013165","journal-title":"Mayo Clinic Proc: Innov Quality Outcomes"},{"key":"2699_CR7","doi-asserted-by":"publisher","first-page":"106","DOI":"10.1016\/j.jbi.2018.04.001","volume":"82","author":"A Jimenez-Molina","year":"2018","unstructured":"Jimenez-Molina A, Gaete-Villegas J, Fuentes J (2018) ProFUSO: business process and ontology-based framework to develop ubiquitous computing support systems for chronic patients\u2019 management. J Biomed Inform 82:106\u2013127","journal-title":"J Biomed Inform"},{"key":"2699_CR8","doi-asserted-by":"crossref","unstructured":"Kiourtis A, Mavrogiorgou A, Kyriazis D (2020) A semantic similarity evaluation for healthcare ontologies matching to HL7 FHIR resources. In: Digital personalized health and medicine pp 13\u201317. IOS Press","DOI":"10.1007\/978-3-030-22871-2_68"},{"key":"2699_CR9","doi-asserted-by":"crossref","unstructured":"Mavrogiorgou A, Kiourtis A, Kyriazis D (2019) APIs through ontology mapping techniques. In: 5th EAI international conference on IoT technologies for healthcare p 39. Springer Nature","DOI":"10.1007\/978-3-030-30335-8_4"},{"key":"2699_CR10","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2023.110645","volume":"274","author":"R Chandra","year":"2023","unstructured":"Chandra R, Tiwari S, Agarwal S, Singh N (2023) Semantic web-based diagnosis and treatment of vector-borne diseases using SWRL rules. Knowl Based Syst 274:110645","journal-title":"Knowl Based Syst"},{"key":"2699_CR11","doi-asserted-by":"crossref","unstructured":"de Medeiros LF, Priyatna F, Corcho O (2015) MIRROR: automatic R2RML mapping generation from relational databases. In: International conference on web engineering. Cham: Springer pp 326\u2013343","DOI":"10.1007\/978-3-319-19890-3_21"},{"key":"2699_CR12","unstructured":"Saleem M (2023) Storage, indexing, query processing, and benchmarking in centralized and distributed RDF engines: a survey. Authorea Preprints."},{"issue":"2","key":"2699_CR13","doi-asserted-by":"publisher","first-page":"335","DOI":"10.1002\/hpm.3872","volume":"40","author":"V Kumar","year":"2025","unstructured":"Kumar V (2025) Examining the effects of health work shortages and deployment in integrated programme in Bihar, India: an institutional ethnography. Int J Health Plann Manage 40(2):335\u2013345","journal-title":"Int J Health Plann Manage"},{"issue":"1","key":"2699_CR14","doi-asserted-by":"publisher","first-page":"18","DOI":"10.54646\/IFNR.2024.04","volume":"1","author":"S Kamalakannan","year":"2024","unstructured":"Kamalakannan S, Srivastava A, Chockalingam M, Gandhi D, Dhamija RK, Solomon J, Surya N (2024) Health systems for rehabilitation\u2013critical appraisal of the national programme for stroke in India. J Indian Federat Neurorehabilit 1(1):18","journal-title":"J Indian Federat Neurorehabilit"},{"key":"2699_CR15","doi-asserted-by":"crossref","unstructured":"Krithara A, Aisopos F, Rentoumi V, Nentidis A, Bougatiotis K, Vidal ME, Paliouras G (2019) IASIS: Towards heterogeneous big data analysis for personalized medicine. In: 2019 IEEE 32nd international symposium on computer-based medical systems (CBMS) pp 106\u2013111. IEEE.","DOI":"10.1109\/CBMS.2019.00032"},{"key":"2699_CR16","doi-asserted-by":"crossref","unstructured":"Das S, Naskar D, Gonz\u00e1lez SR (2024) CSSDH: an ontology for social determinants of health to operational continuity of care data interoperability. In: International conference on intelligent data engineering and automated learning pp. 103\u2013109. Cham: Springer Nature Switzerland.","DOI":"10.1007\/978-3-031-77731-8_10"},{"issue":"1","key":"2699_CR17","doi-asserted-by":"publisher","DOI":"10.1007\/s13755-024-00286-7","volume":"12","author":"K G\u00f6\u011febakan","year":"2024","unstructured":"G\u00f6\u011febakan K, Ulu R, Abiyev R, \u015eah M (2024) A drug prescription recommendation system based on novel DIAKID ontology and extensive semantic rules. Health Inf Sci Syst 12(1):27","journal-title":"Health Inf Sci Syst"},{"key":"2699_CR18","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/s13326-020-00222-0","volume":"11","author":"WD Duncan","year":"2020","unstructured":"Duncan WD, Thyvalikakath T, Haendel M, Torniai C, Hernandez P, Song M, Ruttenberg A (2020) Structuring, reuse and analysis of electronic dental data using the oral health and disease ontology. J Biomed Semantics 11:1\u201319","journal-title":"J Biomed Semantics"},{"key":"2699_CR19","doi-asserted-by":"crossref","unstructured":"Kiourtis A, Mavrogiorgou A, Manias G, Kyriazis D (2022) Ontology-driven data cleaning towards lossless data compression. In: Challenges of trustable AI and added-value on health pp 421\u2013422. IOS Press","DOI":"10.3233\/SHTI220492"},{"issue":"19","key":"2699_CR20","doi-asserted-by":"publisher","DOI":"10.3390\/app14198860","volume":"14","author":"K Mavrogiorgos","year":"2024","unstructured":"Mavrogiorgos K, Kiourtis A, Mavrogiorgou A, Menychtas A, Kyriazis D (2024) Bias in machine learning: a literature review. Appl Sci 14(19):8860","journal-title":"Appl Sci"},{"key":"2699_CR21","doi-asserted-by":"publisher","DOI":"10.3389\/frai.2025.1546179","volume":"8","author":"A Mavridis","year":"2025","unstructured":"Mavridis A, Tegos S, Anastasiou C, Papoutsoglou M, Meditskos G (2025) Large language models for intelligent RDF knowledge graph construction: results from medical ontology mapping. Front Artif Intell 8:1546179","journal-title":"Front Artif Intell"},{"key":"2699_CR22","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/s12859-021-04173-w","volume":"22","author":"N Kurbatova","year":"2021","unstructured":"Kurbatova N, Swiers R (2021) Disease ontologies for knowledge graphs. BMC Bioinf 22:1\u20137","journal-title":"BMC Bioinf"},{"issue":"10","key":"2699_CR23","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pdig.0000128","volume":"1","author":"AK Talukder","year":"2022","unstructured":"Talukder AK, Schriml L, Ghosh A, Biswas R, Chakrabarti P, Haas RE (2022) Diseasomics: actionable, machine-interpretable disease knowledge at the point-of-care. PLoS Digit Health 1(10):e0000128","journal-title":"PLoS Digit Health"},{"key":"2699_CR24","unstructured":"Chandra R, Agarwal S, Kumar SS, Singh N (2025) OCEP: an ontology-based complex event processing framework for healthcare decision support in big data analytics. arXiv preprint arXiv:2503.21453."},{"issue":"2","key":"2699_CR25","doi-asserted-by":"publisher","DOI":"10.1007\/s11227-024-06911-2","volume":"81","author":"SS Kumar","year":"2025","unstructured":"Kumar SS, Chandra R, Harsh A, Agarwal S (2025) Fuzzy rule-based intelligent cardiovascular disease prediction using complex event processing. J Supercomput 81(2):402","journal-title":"J Supercomput"},{"issue":"1","key":"2699_CR26","doi-asserted-by":"publisher","DOI":"10.2196\/53711","volume":"8","author":"S Lim","year":"2024","unstructured":"Lim S, Johannesson P (2024) An ontology to bridge the clinical management of patients and public health responses for strengthening infectious disease surveillance: design science study. JMIR Form Res 8(1):e53711","journal-title":"JMIR Form Res"},{"issue":"2","key":"2699_CR27","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s12530-025-09679-9","volume":"16","author":"R Chandra","year":"2025","unstructured":"Chandra R, Tiwari S, Rastogi S, Agarwal S (2025) A diagnosis and treatment of liver diseases: integrating batch processing, rule-based event detection and explainable artificial intelligence. Evol Syst 16(2):1\u201326","journal-title":"Evol Syst"},{"issue":"2","key":"2699_CR28","doi-asserted-by":"publisher","DOI":"10.1177\/14604582241259336","volume":"30","author":"C Khnaisser","year":"2024","unstructured":"Khnaisser C, Looten V, Lavoie L, Burgun A, Ethier JF (2024) Building ontology-based temporal databases for data reuse: an applied example on hospital organizational structures. Health Inf J 30(2):14604582241259336","journal-title":"Health Inf J"},{"key":"2699_CR29","doi-asserted-by":"publisher","first-page":"891","DOI":"10.1007\/s10619-021-07321-6","volume":"39","author":"I Mountasser","year":"2021","unstructured":"Mountasser I, Ouhbi B, Hdioud F, Frikh B (2021) Semantic-based big data integration framework using scalable distributed ontology matching strategy. Distrib Parallel Databases 39:891\u2013937","journal-title":"Distrib Parallel Databases"},{"key":"2699_CR30","doi-asserted-by":"publisher","DOI":"10.1016\/j.infsof.2023.107378","volume":"167","author":"C Barba-Gonz\u00e1lez","year":"2024","unstructured":"Barba-Gonz\u00e1lez C, Caballero I, Varela-Vaca \u00c1J, Cruz-Lemus JA, G\u00f3mez-L\u00f3pez MT, Navas-Delgado I (2024) BIGOWL4DQ: ontology-driven approach for big data quality meta-modelling, selection and reasoning. Inf Softw Technol 167:107378","journal-title":"Inf Softw Technol"},{"key":"2699_CR31","unstructured":"Fern\u00e1ndez-L\u00f3pez M, G\u00f3mez-P\u00e9rez A, Juristo Juzgado N (1997) Methontology: from ontological art towards ontological engineering. In: AAAI conference on artificial intelligence"},{"issue":"1","key":"2699_CR32","doi-asserted-by":"publisher","first-page":"17","DOI":"10.3233\/AO-220262","volume":"17","author":"JN Otte","year":"2022","unstructured":"Otte JN, Beverley J, Ruttenberg A (2022) BFO: basic formal ontology. Appl Ontol 17(1):17\u201343","journal-title":"Appl Ontol"},{"issue":"1","key":"2699_CR33","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-022-35337-8","volume":"13","author":"J Botelho","year":"2022","unstructured":"Botelho J, Mascarenhas P, Viana J, Proen\u00e7a L, Orlandi M, Leira Y, Machado V (2022) An umbrella review of the evidence linking oral health and systemic noncommunicable diseases. Nat Commun 13(1):7614","journal-title":"Nat Commun"},{"key":"2699_CR34","doi-asserted-by":"crossref","unstructured":"Chandra R, Shukla A, Tiwari S, Agarwal S, Svafrullah M, Adiyarta K (2022) Natural language processing and ontology based decision support system for diabetic patients. In: 2022 9th international conference on electrical engineering, computer science and informatics (EECSI) pp 13\u201318. IEEE","DOI":"10.23919\/EECSI56542.2022.9946601"},{"issue":"3","key":"2699_CR35","doi-asserted-by":"publisher","first-page":"851","DOI":"10.21817\/indjcse\/2022\/v13i3\/221303143","volume":"13","author":"H El Massari","year":"2022","unstructured":"El Massari H, Gherabi N, Mhammedi S, Sabouri Z, Ghandi H (2022) Ontology-based decision tree model for prediction of cardiovascular disease. Indian J Comput Sci Eng 13(3):851\u2013859","journal-title":"Indian J Comput Sci Eng"},{"key":"2699_CR36","doi-asserted-by":"publisher","first-page":"201","DOI":"10.1016\/j.procs.2025.02.079","volume":"254","author":"A Chatterjee","year":"2025","unstructured":"Chatterjee A (2025) Sovereignty in automated stroke prediction and recommendation system with explanations and semantic reasoning. Procedia Comput Sci 254:201\u2013210","journal-title":"Procedia Comput Sci"},{"key":"2699_CR37","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2024.106810","volume":"99","author":"V Rajeswari","year":"2025","unstructured":"Rajeswari V, Priya KS (2025) Ontological modeling with recursive recurrent neural network and crayfish optimization for reliable breast cancer prediction. Biomed Signal Process Control 99:106810","journal-title":"Biomed Signal Process Control"},{"key":"2699_CR38","doi-asserted-by":"publisher","first-page":"291","DOI":"10.1007\/978-3-031-77318-1_20","volume-title":"Italian forum of ambient assisted living","author":"M Pourvahab","year":"2024","unstructured":"Pourvahab M, Monteiro A, Lashgari F, Mousavirad SJ, Maestre-Ferriz R, Pais S (2024) Advanced semantic integration with RDF and R2RML for unified data management. Italian forum of ambient assisted living. Springer Nature Switzerland, Cham, pp 291\u2013309"},{"key":"2699_CR39","unstructured":"Bretterbauer M (2024) Comparison of RDF triplestores in a kubernetes environment (Doctoral dissertation, Technische Universit\u00e4t Wien)"},{"issue":"1","key":"2699_CR40","doi-asserted-by":"publisher","first-page":"31","DOI":"10.1007\/s10619-023-07433-1","volume":"42","author":"Q Guo","year":"2024","unstructured":"Guo Q, Zhang C, Zhang S, Lu J (2024) Multi-model query languages: taming the variety of big data. Distrib Parallel Databases 42(1):31\u201371","journal-title":"Distrib Parallel Databases"},{"key":"2699_CR41","unstructured":"Selvaraj GK (2022) Improving program analysis using efficient semantic and deductive techniques (Doctoral dissertation, University of Auckland)"},{"key":"2699_CR42","doi-asserted-by":"publisher","first-page":"849","DOI":"10.1016\/j.future.2020.03.010","volume":"108","author":"D Pradeep","year":"2020","unstructured":"Pradeep D, Sundar C (2020) QAOC: novel query analysis and ontology-based clustering for data management in Hadoop. Future Gener Comput Syst 108:849\u2013860","journal-title":"Future Gener Comput Syst"},{"key":"2699_CR43","unstructured":"Valentini R (2024) Ontology-based data management in healthcare"},{"key":"2699_CR44","doi-asserted-by":"publisher","DOI":"10.1016\/j.websem.2024.100819","volume":"81","author":"S Hoseini","year":"2024","unstructured":"Hoseini S, Theissen-Lipp J, Quix C (2024) A survey on semantic data management as intersection of ontology-based data access, semantic modeling and data lakes. J Web Semant 81:100819","journal-title":"J Web Semant"},{"issue":"2","key":"2699_CR45","doi-asserted-by":"publisher","first-page":"134","DOI":"10.1109\/TBDATA.2017.2782785","volume":"5","author":"M Hajeer","year":"2017","unstructured":"Hajeer M, Dasgupta D (2017) Handling big data using a data-aware HDFS and evolutionary clustering technique. IEEE Trans Big Data 5(2):134\u2013147","journal-title":"IEEE Trans Big Data"},{"key":"2699_CR46","doi-asserted-by":"crossref","unstructured":"Momani Z, Ishtaiwi A, Rashid AN (2025) Efficient SPARQL query processing in mapreduce. In: 2025 1st international conference on computational intelligence approaches and applications (ICCIAA) pp 1\u20136. IEEE","DOI":"10.1109\/ICCIAA65327.2025.11013352"},{"key":"2699_CR47","doi-asserted-by":"publisher","DOI":"10.1016\/j.datak.2023.102239","volume":"148","author":"VN Kumar","year":"2023","unstructured":"Kumar VN, Ps AK (2023) An efficient and scalable SPARQL query processing framework for big data using MapReduce and hybrid optimum load balancing. Data Knowl Eng 148:102239","journal-title":"Data Knowl Eng"},{"key":"2699_CR48","doi-asserted-by":"publisher","first-page":"90","DOI":"10.1016\/j.scs.2017.06.010","volume":"34","author":"F Ullah","year":"2017","unstructured":"Ullah F, Habib MA, Farhan M, Khalid S, Durrani MY, Jabbar S (2017) Semantic interoperability for big-data in heterogeneous IoT infrastructure for healthcare. Sustain Cities Soc 34:90\u201396","journal-title":"Sustain Cities Soc"},{"key":"2699_CR49","first-page":"1","volume-title":"Applied Informatics","author":"S El-Sappagh","year":"2016","unstructured":"El-Sappagh S, Ali F (2016) DDO: a diabetes mellitus diagnosis ontology. Applied Informatics, vol 3. Springer, Berlin, pp 1\u201328"},{"issue":"4","key":"2699_CR50","doi-asserted-by":"publisher","first-page":"3053","DOI":"10.1007\/s00521-021-06517-2","volume":"34","author":"ON Oyelade","year":"2022","unstructured":"Oyelade ON, Ezugwu AE, Adewuyi SA (2022) Enhancing reasoning through reduction of vagueness using fuzzy OWL-2 for representation of breast cancer ontologies. Neural Comput Appl 34(4):3053\u20133078","journal-title":"Neural Comput Appl"},{"key":"2699_CR51","unstructured":"Manika P, Saatcui D, Ktona A (2021) Building an ontology for cardiovascular diseases. Int J Comput Sci Inf Secur (IJCSIS), 19(1)"},{"key":"2699_CR52","doi-asserted-by":"publisher","DOI":"10.1016\/j.cosrev.2020.100309","volume":"38","author":"T Chawla","year":"2020","unstructured":"Chawla T, Singh G, Pilli ES, Govil MC (2020) Storage, partitioning, indexing and retrieval in big RDF frameworks: a survey. Comput Sci Rev 38:100309","journal-title":"Comput Sci Rev"},{"key":"2699_CR53","doi-asserted-by":"publisher","first-page":"165","DOI":"10.1613\/jair.2811","volume":"36","author":"B Motik","year":"2009","unstructured":"Motik B, Shearer R, Horrocks I (2009) Hypertableau reasoning for description logics. J Artif Intell Res 36:165\u2013228","journal-title":"J Artif Intell Res"},{"key":"2699_CR54","unstructured":"Lam AN, Elves\u00e6ter B, Martin-Recuerda F (2023) A performance evaluation of OWL 2 DL reasoners using ORE 2015 and very large bio ontologies. In ESWC workshops"},{"key":"2699_CR55","doi-asserted-by":"crossref","unstructured":"Voulgaris K, Kiourtis A, Karamolegkos P, Karabetian A, Poulakis Y, Mavrogiorgou A, Kyriazis D (2022) Data processing tools for graph data modelling big data analytics. In: 2022 13th international congress on advanced applied informatics winter (IIAI-AAI-Winter) pp 208\u2013212. IEEE","DOI":"10.1109\/IIAI-AAI-Winter58034.2022.00048"},{"key":"2699_CR56","doi-asserted-by":"crossref","unstructured":"Karabetian A, Kiourtis A, Mavrogiorgou A, Kyriazis D (2023) A visual programming environment for describing complex big data functions. In: Proceedings of the 2023 6th international conference on information science and systems pp 64\u201369","DOI":"10.1145\/3625156.3625166"},{"issue":"6","key":"2699_CR57","first-page":"981","volume":"8","author":"S Batsakis","year":"2017","unstructured":"Batsakis S, Petrakis EG, Tachmazidis I, Antoniou G (2017) Temporal representation and reasoning in OWL 2. Semant Web 8(6):981\u20131000","journal-title":"Semant Web"},{"issue":"1","key":"2699_CR58","doi-asserted-by":"publisher","first-page":"959","DOI":"10.1007\/s10586-023-03995-y","volume":"27","author":"PS Sen","year":"2024","unstructured":"Sen PS, Mukherjee N (2024) An ontology-based approach to designing a NoSQL database for semi-structured and unstructured health data. Cluster Comput 27(1):959\u2013976","journal-title":"Cluster Comput"},{"issue":"1","key":"2699_CR59","doi-asserted-by":"publisher","first-page":"351","DOI":"10.1007\/s10586-014-0406-8","volume":"18","author":"T Shah","year":"2015","unstructured":"Shah T, Rabhi F, Ray P (2015) Investigating an ontology-based approach for big data analysis of inter-dependent medical and oral health conditions. Cluster Comput 18(1):351\u2013367","journal-title":"Cluster Comput"},{"issue":"10","key":"2699_CR60","doi-asserted-by":"publisher","DOI":"10.3390\/computers10100128","volume":"10","author":"AV Larentis","year":"2021","unstructured":"Larentis AV, Neto EGDA, Barbosa JLV, Barbosa DNF, Leithardt VRQ, Correia SD (2021) Ontology-based reasoning for educational assistance in noncommunicable chronic diseases. Computers 10(10):128","journal-title":"Computers"},{"key":"2699_CR61","unstructured":"Chandra R, Agarwal S, Singh N (2025) Real-time health analytics using ontology-driven complex event processing and LLM reasoning: a tuberculosis case study. arXiv preprint arXiv:2510.09646."},{"key":"2699_CR62","doi-asserted-by":"crossref","unstructured":"Chandra R, Tiwari S, Agarwal S, Singh N (2025) Ontology-driven semantic interoperability approach for big data analytics in healthcare IoT systems. In: International conference on cloud computing, data science and engineering (pp 263\u2013273). Singapore: Springer Nature Singapore","DOI":"10.1007\/978-981-96-9203-3_22"},{"key":"2699_CR63","doi-asserted-by":"publisher","first-page":"96823","DOI":"10.1109\/ACCESS.2021.3094063","volume":"9","author":"R Ferdousi","year":"2021","unstructured":"Ferdousi R, Hossain MA, El Saddik A (2021) Early-stage risk prediction of non-communicable disease using machine learning in health CPS. IEEE Access 9:96823\u201396837","journal-title":"IEEE Access"}],"container-title":["Knowledge and Information Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10115-026-02699-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10115-026-02699-0","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10115-026-02699-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,3]],"date-time":"2026-03-03T03:02:56Z","timestamp":1772506976000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10115-026-02699-0"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,3,3]]},"references-count":63,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2026,12]]}},"alternative-id":["2699"],"URL":"https:\/\/doi.org\/10.1007\/s10115-026-02699-0","relation":{},"ISSN":["0219-1377","0219-3116"],"issn-type":[{"value":"0219-1377","type":"print"},{"value":"0219-3116","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,3,3]]},"assertion":[{"value":"2 August 2025","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"7 December 2025","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"5 February 2026","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"3 March 2026","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare no competing interests.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}],"article-number":"90"}}