Buradasınız

Anasayfa » Content

Ulusal Sağlık Veri Sözlüğü için Ontoloji Tabanlı Üst Veri Yönetim Sistemi

Ontology Based Metadata Management for National Healthcare Data Dictionary

Journal Name:

  • Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi

Publication Year:

  • 2012

Key Words:

Keywords (Original Language):

Author NameUniversity of AuthorFaculty of Author
Abstract (2. Language): 
Ontology based metadata is based on ontologies that give formal semantics to information for content level. In this study, ontology based metadata management that intended the metadata modeling developed for National Health Data Dictionary (NHDD) was proposed. NHDD is used as a reference to all health institutions in Turkey and it provides great contribution in terms of the terminology. The approach of the proposed ontology based metadata management was achieved by using modeling methodology of metadata requirements. This methodology includes determination of metadata beneficiaries, listing of metadata requirements for each beneficiary, identification of the source of metadata, categorizing of metadata and a metamodel building.
Bookmark/Search this post with
Abstract (Original Language): 
Ontoloji tabanlı üst veri, içerik seviyesinde bilgiye biçimsel anlamsallık kazandıran ontolojiler temelindedir. Bu çalışmada, Ulusal Sağlık Veri Sözlüğü (USVS) için geliştirilen ve üst veri modellenmesini hedefleyen ontoloji tabanlı üst veri yönetimi önerilmiştir. USVS, Türkiye genelinde bütün sağlık kurumlarında referans olarak kullanılmakta ve terminoloji bakımından büyük katkı sağlamaktadır. Önerilen ontoloji tabanlı üst veri yönetimi, üst veri gereksinimlerini modelleme metodolojisi kullanılarak gerçekleştirilmiştir. Bu metodoloji; üst veri ile ilgili kullanıcıların belirlenmesi, her bir kullanıcı için üst veri gereksinimlerinin listelenmesi, üst veri kaynaklarının tanımlanması, üst verinin sınıflandırılması ve bir üst veri modeli oluşturma süreçlerini içermektedir.
FULL TEXT (PDF): 
PDF icon arastirmax-ulusal-saglik-veri-sozlugu-icin-ontoloji-tabanli-ust-veri-yonetim-sistemi.pdf
  • 2
133
144
  • Turkish

REFERENCES

References: 

Jia, Q., Guo, S.Z., Chen, H.Y. and Li, N. 2009. "Research on ontology-based metadata model", First International Workshop on Database Technology and Applications, China, pp. 363¬366.
Kabak,
Y.
, Dogac, A., Kose, I., Akpinar, N., Gurel, M., Arslan, Y., Ozer, H., Yurt, N., Ozcam, A., Kirici, S., Yuksel, M. and Sabur, E. 2008. "The Use of HL7 CDA in the National Health Information System (NHIS) of Turkey", 9th International HL7 Interoperability Conference, Crete, Greece, pp. 49-55.
Kose, I., Akpinar, N., Gurel, M., Arslan, Y., Ozer, H., Yurt, N., Kabak, Y. and Dogac, A. 2008. "Turkey's National Health Information System (NHIS)", in the Proceedings of the eChallanges Conference, Stockholm, pp. 170-177.
Meteor, 2010. Australian Goverment Australian Institue of Health and Welfare, http://meteor.aihw.gov.au/content/index.phtml/ itemId/181414, (Erişim tarihi: 4 Temmuz 2010).
NISO, 2001. The National Information Standards Organization (NISO) Announces Dublin Core Metadata Element Set Approval, Formation of Committee to Revise Library Statistics Standart,
Information Today, 18 (10): 46.
Noy, F.N., Shah, N., Dai, B., Dorf, M., Griffith, N., Jonquet, C., Montegut, M., Rubin, D.,
Youn, C. and Musen, A.M. 2008. "BioPortal:
A Web Repository for Biomedical Ontologies and Data Resources", in Demo Session at 7th International Semantic Web Conference (Poster Demo), Karlsruhe, Germany.
Nummiaho, A., Vainikainen, S. and Melin, M. 2010. "Utilizing Linked Open Data Sources for Automatic Generation of Semantic Metadata", Metadata and Semantics Research Conference
2010, pp. 78-83.
Palma, R., Hartmann, J. and Haase, P. 2009. "OMV ontology metadata vocabulary for the semantic web", Ontology Metadata Vocabulary Project Report v2.4.1.
Sheth, A. 2003. "Ontology Driven Information Systems in Action (Capturing and Applying Existing Knowledge to SemanticApplications)," Sharing the Knowledge International CIDOC CRM Symposium, Washington.
SVSGK, 2008.
Sağlı
k Veri Standartları Geliştirme Komisyonu. USVS Sürüm 1.1, http:// www.sagliknet.saglik.gov.tr/USVSBrowser/
All.jsp.
Pamukkale Üniversitesi, Mühendislik Bilimleri Dergisi, Cilt 18, Sayı 2, 2012
143
Y. Yüksek, M. O. Ünalır
Tannenbaum, A. 2001. Metadata Solutions
Usin
g Metamodels, Repositories, XML and Enterprise Portals to Generate Information on Demand, Addison-Wesley, ISBN-13: 978-0201719765.
Tao, C., Jiang, G., Wei, W.Q., Solbrig, H.R.
and Chute, C.G. 2011. "Towards Semantic-Web Based Representation and Harmonization of Standard Meta-data Models for Clinical Studies", AMIA CRI 2011, pp. 59-63.
Uschold, M. and Gruninger, M. 2004. Ontologies and semantics for seamless
connectivity, SIGMOD Rec. (33), 58-64.
Wang, X. and Kosar, T. 2009. "Design and Implementation of Metadata System in PetaShare", 21st International Conference on Scientific and Statistical Database Management,
pp. 191-199.
Yang, J. and Huang, C. 2010. "Research on ontology semantic retrieval for enterprise metadata", Fuzzy Systems and Knowledge Discovery (FSKD) 2010, Seventh International
Conference, pp. 2050-2053.
Yoldas, U. and Nagypâl, G. 2006. Ontology Supported Automatic Generation of High-Quality Semantic Metadata On the Move to Meaningful Internet Systems, CoopIS, DOA,
GADA, and ODBASE, (4275), 791-806.
Zhang, G., Jia, S. and Wang, Q. 2010. Construct Ontology-Based Enterprise Information Metadata Framework Journal of Software,
5 (3), 312-31.

Thank you for copying data from http://www.arastirmax.com