Abstract
The number of biological databases available both in the public domain and in private keep on increasing every day. Scientists and researchers need to analyze and make use of the data stored in different databases. One limitation is that these databases are stored in diverse formats. However, semantic web methods have introduced the Resource description format (RDF) to unify heterogeneous databases. In this paper we illustrate how to construct a knowledge graph out of biological RDF databases by connecting possibly related data. We also show how the resulting knowledge graph can be made compact. We, then show how free-text search can be implemented to access nodes in the knowledge graph. Finally, we introduce a way to display and navigate the created knowledge graph.
| Original language | English |
|---|---|
| Title of host publication | 5th International Conference on Research and Innovation in Information Systems |
| Subtitle of host publication | Social Transformation through Data Science, ICRIIS 2017 |
| Publisher | IEEE Computer Society |
| ISBN (Electronic) | 9781509030354 |
| DOIs | |
| Publication status | Published - Aug 3 2017 |
| Event | 5th International Conference on Research and Innovation in Information Systems, ICRIIS 2017 - Langkawi, Kedah, Malaysia Duration: Jul 16 2017 → Jul 17 2017 |
Other
| Other | 5th International Conference on Research and Innovation in Information Systems, ICRIIS 2017 |
|---|---|
| Country/Territory | Malaysia |
| City | Langkawi, Kedah |
| Period | 7/16/17 → 7/17/17 |
Keywords
- Biological databases
- Knowledge graph
- RDF
ASJC Scopus subject areas
- Computer Networks and Communications
- Human-Computer Interaction
- Information Systems