Querying the Dataset from the Developed Ontology for Swineflu Disease

Autor:	Lakshmi Kalyani Neerukonda, Suresh Varma Penumathsa, P. Rama Krishna, Radhika Pathi
Rok vydání:	2019
Předmět:	Information retrieval business.industry computer.file_format Protégé Ontology (information science) Field (computer science) Pathology and Forensic Medicine Data set Disease Ontology Knowledge base SPARQL RDF business computer
Zdroj:	Medico-Legal Update. 19:275
ISSN:	0974-1283 0971-720X
DOI:	10.5958/0974-1283.2019.00055.0
Popis:	Ontology design and querying the data set to obtain accurate results has been a topic of research. The aim of the paper is to represent ontological knowledge in the field of Medical Information Systems to store the knowledge about Swine flu disease and thereby querying the data and formalize the knowledge base development. The developed knowledge from RDF is converted to rules and then querying is done through different methods and performance analysis has been done on the retrieved query. The results predicted determine the suitability of the method where querying gives the accurate result for swine flu disease ontology.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fd1264a21acf4b7f429c5510632a4726 https://doi.org/10.5958/0974-1283.2019.00055.0 Zobrazit plný text záznamu