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Transforming Medical Data into Ontologies for Improving Semantic Interoperability

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Emerging IT/ICT and AI Technologies Affecting Society

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 478))

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Abstract

Healthcare systems today have mostly become patient-centric and digitally expressed in form of electronic health record (EHR). The medical data collected using clinical codes from multiple sources are saved in structured form or free text. This data heterogeneity has extensively increased due to the exponential growth of healthcare data which makes data extraction complex, creates interoperability issues, and hinders healthcare development. Web Ontology Language (OWL) combined with Semantic Web technologies adds simplicity to searching, integrating, reusing, sharing information, and addressing interoperability issues. It is very much essential to transform medical data into ontologies to achieve improved semantic interoperability. This chapter focuses on a review of the significance of the semantic web in the medical industry and discusses different methods of building or transforming open EHR-based medical data to OWL individuals. Finally, the chapter gives an insight into ontology mapping for semantic interoperability with its benefits and also considerable challenges.

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References

  1. Shah T, Rabbi F, Ray P (2015) investigating an ontology-based approach for Big Data analysis of inter-dependent medical and oral health conditions. Cluster Compute 18:351–367. https://doi.org/10.1007/s10586-014-0406-8

    Article  Google Scholar 

  2. Zenuni X, Raufi B, Ismaili F, Ajdari J (2015) State of the art of semantic web for healthcare. In: Procedia-social and behavioral sciences, vol 195, pp 1990–1998

    Google Scholar 

  3. Iftikhar S, Khan WA, Ahmad F, Fatima K (2012) Semantic interoperability in E-health for improved healthcare. Semant, Action-Applications Scenarios, vol 107

    Google Scholar 

  4. Taouli A, Djamel AB, Keskes N, Bencherif K, Hassan B (2018) Semantic for bigdata analysis: a survey. In: Proceedings of the INTIS2018: BigData and Internet of things IoT, Marrakech, Maroc, Dec 2018

    Google Scholar 

  5. Thuy PTT, Lee Y-T, Lee S (2012) S-trans: semantic transformation of XML healthcare data into OWL ontology. Knowl-Based Syst 35:349–356

    Google Scholar 

  6. Merelli I, P´erez-Sanchez H, Gesing S, D’Agostino D (2014) Managing, analysing, and integrating big data in medical bioinformatics: open problems and future perspectives. BioMed Res Int, ArticleID 134023, 13 pages

    Google Scholar 

  7. Chungoora T. Enter the realm of semantic web languages overview of markup languages in the Semantic WebStack. https://medium.com/swlh/enter-the-realm-of-semantic-web-languages-ee94ee68f544

  8. Banu A, Fatima SS, Ur Rahman Khan K (2011) Semantic-based querying using ontology in relational database of library management system. Int J Web Semantic Technol (IJWesT) 2(4):21–32

    Google Scholar 

  9. Liyanage H, Krause P, de Lusignan S (2015) Using ontologies to improve semantic interoperability in health data. J Innov Health Inform 22(2):309–315

    Google Scholar 

  10. Semantic interoperability. https://en.wikipedia.org/wiki/Semantic_interoperability

  11. Sure Y, Staab S, Studer R (2009) Ontology engineering methodology. In: Handbook on ontologies. Springer, Heidelberg, pp 135–152

    Google Scholar 

  12. https://en.wikipedia.org/wiki/Ontology_engineering

  13. Spoladore D, Pessot E (2021) Collaborative ontology engineering methodologies for the development of decision support systems: case studies in the healthcare domain. Electronics 10(9):1060

    Article  Google Scholar 

  14. Simperl EPB, Tempich C (2006) Ontology engineering: a reality check. In: On the move to meaningful internet systems. In: Proceedings of the OTM confederated international conferences, Montpellier, France, 29 Oct–3 Nov 2006. Springer, Cham, Switzerland, pp 836–854

    Google Scholar 

  15. Banu A, Fatima SS, Ur Rahman Khan K. Building OWL ontology: LMSO-library management system ontology. In: Meghanathan N, Naga-malai D, Chaki N (eds) Advances in computing and information technology. Advances in intelligent systems and computing, vol 178. Springer, Heidelberg. https://doi.org/10.1007/978-3-642-31600-5_51

  16. Noy NF, McGuinness DL (2001) Ontology development 101: a guide to creating your first ontology. In: Stanford Knowledge Systems Laboratory Technical Report KSL-01-05 and Stanford Medical Informatics Technical Report SMI-2001-0880, Mar 2001

    Google Scholar 

  17. Farquhar A, Fikes R, Rice J (1996) The ontolingua server: a tool for collaborative ontology construction. In: Proceedings of the 10th knowledge acquisition for knowledge-based systems workshop, Banff, Canada, 9–14 Nov 1996

    Google Scholar 

  18. Hacherouf M, Bahloul SN, Cruz C (2015) Transforming XML documents to OWL ontologies: a survey. J Information Sci 41(2):242–259

    Google Scholar 

  19. Yahia N, Mokhtar SA, Ahmed AW (2012) Automatic generation of OWL ontology from XML data source. Int J Comput Sci Issues 9(2)

    Google Scholar 

  20. Bohring H, Auer S (2015) Mapping XML to OWL ontologies. In: Jantke KP, Fähnrich K-P, Wittig WS (Hrsg.), Marktplatz Internet: Von e-Learning bis e-Payment, 13. LeipzigerInformatik-Tage (LIT 2005). Gesellschaft für Informa-tik e. V., Bonn (S.147–156)

    Google Scholar 

  21. Thuy PTT, Lee YK, Lee S (2013) A semantic approach for transforming XML data into RDF ontology. Wireless Pers Commun 73:1387–1402. https://doi.org/10.1007/s11277-013-1256-z

  22. Jounaidi A, Bahaj M (2018) Converting of an Xml schema to an Owl ontology using a canonical data model. J Theor Appl Information Technol 96(5)

    Google Scholar 

  23. Iroju O, Soriyan A, Gambo I, Olaleke J (2013) Interoperability in healthcare: benefits, challenges and resolutions. Int J Innov Appl Stud 3(1):262–270

    Google Scholar 

  24. Bock C, Carnahan L, Fenves S, Gruninger M, Kashyap V, Lide B, Nell J, Raman R, Sriram R (2005) Healthcare strategic focus area: clinical informatics. National Institute of Standards and Technology, Technology Administration, Department of Commerce, USA, pp 1–33, Sept 2005

    Google Scholar 

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Authors and Affiliations

  1. Department of CSE, Vaagdevi College of Engineering, Warangal, 506005, India

    Ayesha Banu

  2. Department of IT, Deccan College of Engineering and Technology, Hyderabad, India

    Ayesha Ameen

Authors
  1. Ayesha Banu
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  2. Ayesha Ameen
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Correspondence to Ayesha Ameen .

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Editors and Affiliations

  1. Muffakham Jah College Engineering and Technology, Hyderabad, India

    Mousmi Ajay Chaurasia

  2. National Chung Hsing University, Taichung, Taiwan

    Chia-Feng Juang

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Banu, A., Ameen, A. (2023). Transforming Medical Data into Ontologies for Improving Semantic Interoperability. In: Chaurasia, M.A., Juang, CF. (eds) Emerging IT/ICT and AI Technologies Affecting Society. Lecture Notes in Networks and Systems, vol 478. Springer, Singapore. https://doi.org/10.1007/978-981-19-2940-3_5

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  • DOI: https://doi.org/10.1007/978-981-19-2940-3_5

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-19-2939-7

  • Online ISBN: 978-981-19-2940-3

  • eBook Packages: EngineeringEngineering (R0)

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