TY - GEN
T1 - Knowledge graph construction and search for biological databases
AU - Zaki, Nazar
AU - Tennakoon, Chandana
AU - Ashwal, Hany Al
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/8/3
Y1 - 2017/8/3
N2 - 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.
AB - 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.
KW - Biological databases
KW - Knowledge graph
KW - RDF
UR - http://www.scopus.com/inward/record.url?scp=85029918520&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85029918520&partnerID=8YFLogxK
U2 - 10.1109/ICRIIS.2017.8002465
DO - 10.1109/ICRIIS.2017.8002465
M3 - Conference contribution
AN - SCOPUS:85029918520
T3 - International Conference on Research and Innovation in Information Systems, ICRIIS
BT - 5th International Conference on Research and Innovation in Information Systems
PB - IEEE Computer Society
T2 - 5th International Conference on Research and Innovation in Information Systems, ICRIIS 2017
Y2 - 16 July 2017 through 17 July 2017
ER -