Semantic Representation and Optimized Querying of Cancer Data using Modified Shuffled Frog Leaping Algorithm
Gomathi R1,Vidhya N2

1Gomathi R, Computer Science and Engineering, Bannari Amman Institute of Technology, Sathyamangalam, India.
2Vidhya N, Senior Software developer, The Vanguard group, USA.

Manuscript received on 1 August 2019. | Revised Manuscript received on 7 August 2019. | Manuscript published on 30 September 2019. | PP: 1306-1308 | Volume-8 Issue-3 September 2019 | Retrieval Number: B3208078219/19©BEIESP | DOI: 10.35940/ijrte.B3208.098319
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Abstract: Cancer registries are most important to predict and treat the cancer disease. Numerous solutions are available in research to analyze the data in cancer registries. However, there is a lack of well defined data model since there is a link to external web pages. In order to overcome this issue a system is proposed to represent the cancer data using a semantic data model. The data model uses a Resource Description Framework (RDF) format to represent the data from the local cancer databases. It also uses an optimized Querying of the semantically represented data using SPARQL query language. The optimization of the queries is done with the Modified shuffled frog leaping algorithm(MSFL). This helps in treatment of cancer patients in an easy way.
Index Terms: Cancer data, Semantic web, biomedical informatics, Resource Description Framework, SPARQL queries, Shuffled frog leaping algorithm

Scope of the Article:
Semantic Web