Is a SPARQL endpoint a good way to manage nursing documentation

Abstract

In Semantic Web there are different technologies available, among these technologies ontologies are considered a basic technology to promote semantic management and activities. An ontology is capable to exhibits a common, shareable and reusable view of a specific application domain, and they give meaning to information structures that are exchanged by information systems [63]. In this project our main goal is to develop an application that helps to store and manage the patient related clinical data. For this reason first we made an ontology, in ontology we add some patient related records. After that we made a Java application in which we read this ontology by the help of Jena. Then we checked this application with some other database solutions such as Triple Store (Jena TDB) and Relational database (Jena SDB). After that we performed SPARQL Queries to get results that reads from databases we have used, on the basis of results that we received after performing SPARQL Queries, we made an analysis on the performance and efficiency of databases. In these results we found that Triple Stores (Jena TDB) have capabilities to response very fast among other databases. In this report we also try to present an idea about [62] load times of other native triple stores and discuss the inferencing capabilities of Sesame native, Mulgara and Virtuoso backed with Jena [62]. In this [62] also discuss the suitability and performance of the triple store when used as a backend for Bioportal.