Young-Sung Lee

KMLOD: linked open data service for Korean medical database

On the Internet, massive amounts of data are being generated every day, which grows the need for effective way of connecting and sharing data on the web. In this paper, we propose an online retrieval system that connects and aggregates data from various sources through linked open data. The main data extracted from a Korean medical article database, called KMbase, are stored in a relational database which requires the need to convert relational data into RDF data. We use linked data approach to connect one data source to another, which allows user to explore the web of data. Additionally, we introduce different approaches linking to different data sources in which different data sources require different linking methods. The results are presented in a user-friendly web application providing features such as searching and visualizing articles. It also provides SPARQL endpoint where users, who are familiar with SPARQL queries, can put different types of query and retrieve the result.

ESTIMATION OF THE CUMULATIVE EXPOSURE FREQUENCY AND CUMULATIVE EFFECTIVE DOSE OF DIAGNOSTIC MEDICAL RADIATION IN THE KOREAN POPULATION FROM 2002 TO 2010

Along with increase in the frequency and exposure dose from the diagnostic medical radiation procedures, the publics interest in radiation exposure has also been growing. In this study, in order to estimate the Cumulative Exposure Frequency and the cumulative effective dose of diagnostic medical radiation in the Korean population, we included 680 diagnostic medical radiation procedure codes of the Health Insurance Review & Assessment Services health insurance medical expenses data and adopted the effective dose data from the 2008 report of the United Nations Scientific Committee on the Effects of Atomic Radiation. We combined the data of one million individuals in the national sample cohort database (2002-10) of the National Health Insurance Service. The results revealed that 93.2% (917 972) of the subjects were exposed to diagnostic medical radiation at least once in the past nine years, and the Cumulative Exposure Frequency was 17 286.4 per 1000 individuals with a cumulative effective dose of 5.7 (±17.8) mSv per person. Additionally, 93.1% (854 480) of the subjects had a cumulative effective dose less than 20 mSv, and 0.7% (6139) had a dose that exceeded 100 mSv (extreme), showing that the dosage level was mostly low. However, the number of individuals whose exposure exceeded 100 mSv/y increased 28-fold, from 18 in 2002 to 500 in 2010. In addition, the size of increase also grew each year, suggesting that cancer occurrence due to diagnostic medical radiation may have also increased. In order determine the causal relationship between cancer occurrence and diagnostic medical radiation and setup a guideline for exposure, it is necessary to monitor individual cumulative exposure doses nation-wide and follow up on heavily exposed individuals for an extended period of time.

Using D2RQ and Ontop to publish relational database as Linked Data

Having dataset in relational database published and accessed on the Web of Data is a hot issue. In this paper, we present implementation of publishing relational database as Linked Data with two open-source platforms, particularly D2RQ and Ontop. Both platforms provide their own way to translate databases into RDF Graphs. However, in case of querying data, Ontop shows much better performance than D2RQ.