Verification of the RDF implementation in DB2 10.1 for Linux
He, Yuqing (2013)
He, Yuqing
HAAGA-HELIA ammattikorkeakoulu
2013
All rights reserved
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2013052210134
https://urn.fi/URN:NBN:fi:amk-2013052210134
Tiivistelmä
This study is a proof of concept of the RDF the implementation of in DB2 Express-C version 10.1. The study is based on the IBM Developerworks tutorial: “Resource description framework application development in DB2 for Linux, UNIX, and Windows”. Two research questions have been answered in this study:
1. How to implement an RDF application in DB2 10.1 for Linux?
2. What was difficult in the implementaion, problems and solutions?
The implementation was conducted in a Linux operation system, which is different from the Windows operation system that was used in the tutorial. During the implemention, we encountered several problems. These problems and corresponding solutions are recorded in the study. The results of this study prove that the concept presented in the tutorial is positive. Loading data into an RDF is possible, updating of the data in the RDF store works. In addition, one can also administrate the RDF store through two different methods: automatic statistics collection and manual statistics collection.
Throughout the study, we have found some improvements. The sample store that we used in this tutorial has no unique constraint in the database. The store allows us to insert the same dataset multiple times which would result in a large dataset which contains the repeated content. For example, employee id = 00001 as well as his information can be recorded multiple times in the database. We suggest further study of RDF constraints in future.
1. How to implement an RDF application in DB2 10.1 for Linux?
2. What was difficult in the implementaion, problems and solutions?
The implementation was conducted in a Linux operation system, which is different from the Windows operation system that was used in the tutorial. During the implemention, we encountered several problems. These problems and corresponding solutions are recorded in the study. The results of this study prove that the concept presented in the tutorial is positive. Loading data into an RDF is possible, updating of the data in the RDF store works. In addition, one can also administrate the RDF store through two different methods: automatic statistics collection and manual statistics collection.
Throughout the study, we have found some improvements. The sample store that we used in this tutorial has no unique constraint in the database. The store allows us to insert the same dataset multiple times which would result in a large dataset which contains the repeated content. For example, employee id = 00001 as well as his information can be recorded multiple times in the database. We suggest further study of RDF constraints in future.