International Journal of Modern Education and Computer Science (IJMECS)
IJMECS Vol. 10, No. 6, 8 Jun. 2018
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Taxonomy Learning from Health Care Social Communities to Improve EHR Implementation
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Author(s)
Index Terms
Social networking sites, Ontologies, HER
Abstract
In this paper, we propose an approach to extract ontological structures from datasets generated by health care users of social networking sites. The objective of this approach is to exploit the user generated implicit semantics as a complement to more formalized knowledge representations. We aim for this latter to leverage the adoption level of the Electronic Health Record systems that are complaining from the shortage in standards and controlled vocabularies.
Cite This Paper
Zahia Marouf, Sidi Mohamed Benslimane, " Taxonomy Learning from Health Care Social Communities to Improve EHR Implementation", International Journal of Modern Education and Computer Science(IJMECS), Vol.10, No.6, pp. 47-52, 2018. DOI:10.5815/ijmecs.2018.06.06
Reference
[1]Samhaa R. El-Beltagy, A Fully Automated Approach for Arabic Slang Lexicon Extraction from Microblogs, Proceedings of the 15th International Conference on Computational Linguistics and Intelligent Text Processing, April 06-12, 2014, Kathmandu, Nepal.
[2]Stefano Faralli, Giovanni Stilo, Paola Velardi: Automatic acquisition of a taxonomy of microblogs users' interests. J. Web Sem. 45: 23-40(2017).
[3]Hoang, ThiBich Ngoc and Mothe, Josiane. Building a Knowledge Base using Microblogs: the Case of Cultural MicroBlog Contextualization Collection. (2016) In: Conference and Labs of the Evaluation forum (CLEF 2016), 5 September 2016 - 8 September 2016 (Evora, Portugal).
[4]IlknurCelik, Fabian Abel, and Geert-Jan Houbenn. Learning semantic relationships between entities in twitter. In ICWE, 2011.
[5]Claudia Wagnerand MarkusStrohmaier. The Wisdom in Tweetonomies: Acquiring Latent Conceptual Structures from Social Awareness Streams, Semantic Search 2010 Workshop (SemSearch2010), in conjunction with The 19th International World Wide Web Conference (WWW2010), Raleigh, NC, USA, April 26-30, ACM, 2010.
[6]MaroufZahia, Sidi Mohamed Benslimane : Towards Ontological Structures Extraction from Folksonomies: An Efficient Fuzzy Clustering Approach. IJIIT 10(4): 40-50 (2014).
[7]Dixon, B. E., Zafar, A., & McGowan, J. J. (2007). Development of a taxonomy for health information technology. In Medinfo 2007: Proceedings of the 12th World Congress on Health (Medical) Informatics; Building Sustainable Health Systems (p. 616). IOS Press.
[8]Lamsfus, C., Alzua-Sorzabal, A., Martin, D., Salvador, Z., &Usandizaga, A. (2009). Human-centric ontology-based context modelling in tourism. In Proceedings of the international conference on knowledge engineering and ontology development, Funchal, Madeira, Portugal, October 6–8, 2009 (pp. 424–434).
[9]Brambilla, M., Ceri, S., Valle, E.D., Volonterio, R. Salazar, F.X.A.: Extracting emerging knowledge from social media. In: 26th International Conference on World Wide Web, WWW 2017, Perth, Australia, April 3-7, 2017. pp. 795–804 (2017).
[10]P. Monachesi and T. Markus. Using social media for ontology enrichment. In Extended Semantic Web Conference, pages 166–180. Springer, 2010.
[11]Mika, P.(2007).Ontologies are us: A unified model of social networks and semantics.In Journal of Web Semantics. 5(1), 5-15.
[12]Schmitz, P. (2006). Inducing ontology from Flickr tags. Collaborative Web Tagging Workshop, 15th WWW Conference, Edinburgh.
[13]Specia, L.& Motta, E. (2007). Integrating Folksonomies with the Semantic Web. In: 4th European Semantic Web Conference, ESWC,pp. 624-639, Innsbruck, Austria.
[14]Lin, H., Davis, J. &Zhou, Y. (2009).An integrated approach to extracting ontological structures from folksonomies. In Proceedings of the 6th European Semantic Web Conference on The Semantic Web: Research and Applications, page 668. Springer.
[15]Heymann. P. & Garcia-Molina. H. (2006). Collaborative creation of communal hierarchical taxonomies in social tagging systems. Technical Report 2006-10, Computer Science Department.
[16]F. Ozair, N. Jamshed, A. Sharma, and P. Aggarwal, “Ethical issues in electronic health records: A general overview,” Perspectives in Clinical Research, vol. 6, no. 2, pp. 73–76, 2015.
[17]Tang PC, McDonald CJ. Electronic health record systems. In: Shortliffe EH, Cimino JJ, eds. Biomedical informatics: computer applications in health care & biomedicine. New York: Springer-Verlag; 2006:447–75.
[18]ZHOU Y, Li W, YUAN X, Zhang P. Ontology modeling of semantics in social media: Public issue knowledge base (PIKB) of the Weibo. Chinese Journal of Library and Information Science. 2014;1:002.
[19]Hamilton, B. (2011). Electronic health records. New York, NY: McGraw-Hill.
[20]Marco Alfonse, Mostafa M. Aref, Abdel-Badeeh M. Salem,"An Ontology-Based System for Cancer Diseases Knowledge Management", IJIEEB, vol.6, no.6, pp.55-63, 2014. DOI: 10.5815/ijieeb.2014.06.07.
[21]Iroju Olaronke, Ojerinde Oluwaseun, "An Ontology Based Remote Patient Monitoring. Framework for Nigerian Healthcare System", International Journal of Modern Education and Computer. Science(IJMECS), Vol.8, No.10, pp.17-24, 2016.DOI:10.5815/ijmecs.2016.10.03.