Open AccessHealth Insurance Data Processing using Linked Data
Author(s) -
Vishal Shah,
S Shridevi
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.j9043.0881019
Subject(s) - computer science , process (computing) , data mining , information retrieval , external data representation , data retrieval , data science , artificial intelligence , operating system
The data in the organization is distributed among multiple structured databases. The large database makes the process of risk analysis difficult, as data is distributed in the organization. Information gathering for Risk analysis is more subjective and therefore, processing incomplete information over distributed databases increase more fault in risk analysis. Linked Data representation helps to make structured, distributed data more related, combined and ready to be processed. Linked Data approach makes data interlinked and semantically rich, extracting meaning with the use of machines and eliminating the human subjectivity factor in assessing insurance risk. Using Linked data, information retrieval process can be easier as data or databases interlinked semantically. The proposed technique uses a linked data approach for risk analysis and related information retrieval methods over structured data. The work efficiency is also tested and found to be good