TY - GEN
T1 - Efficient Exploration of Biological Data Using Semantic Web Compatible Databases
AU - Zaki, Nazar
AU - Tennakoon, Chandana
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2017/10/2
Y1 - 2017/10/2
N2 - There are over 1600 publicly available biological databases, and this number is growing at a steady rate. These databases are not in a uniform format, however, web-based technologies can be employed to integrate them. One of the key steps in enabling semantic web techniques is to convert these databases into a uniform format, for example, that of the Resource Description Framework (RDF). There are already several biological databases available in RDF format. However, some of the major databases are only found in custom formats. In this paper, we review the methods that are available to explore biological databases in RDF format. We also review current projects that facilitate the conversion of biological data into RDF format. We will identify the strengths and weaknesses of the current exploratory methods and suggest improvements that will enable both novice and expert users to search biological databases more effectively.
AB - There are over 1600 publicly available biological databases, and this number is growing at a steady rate. These databases are not in a uniform format, however, web-based technologies can be employed to integrate them. One of the key steps in enabling semantic web techniques is to convert these databases into a uniform format, for example, that of the Resource Description Framework (RDF). There are already several biological databases available in RDF format. However, some of the major databases are only found in custom formats. In this paper, we review the methods that are available to explore biological databases in RDF format. We also review current projects that facilitate the conversion of biological data into RDF format. We will identify the strengths and weaknesses of the current exploratory methods and suggest improvements that will enable both novice and expert users to search biological databases more effectively.
KW - Biological Databases
KW - Faceted Browsing
KW - RDF
KW - SPARQL
KW - Semantic Web
UR - http://www.scopus.com/inward/record.url?scp=85034635682&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85034635682&partnerID=8YFLogxK
U2 - 10.1109/ISCMI.2016.23
DO - 10.1109/ISCMI.2016.23
M3 - Conference contribution
AN - SCOPUS:85034635682
T3 - Proceedings - 2016 3rd International Conference on Soft Computing and Machine Intelligence, ISCMI 2016
SP - 67
EP - 72
BT - Proceedings - 2016 3rd International Conference on Soft Computing and Machine Intelligence, ISCMI 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 3rd International Conference on Soft Computing and Machine Intelligence, ISCMI 2016
Y2 - 23 November 2016 through 25 November 2016
ER -