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.