TY - GEN
T1 - Biocarian
T2 - 11th International Conferences on Computer Graphics, Visualization, Computer Vision and Image Processing, CGVCVIP 2017 and International Conference on Big Data Analytics, Data Mining and Computational Intelligence, BigDaCI 2017
AU - Zaki, Nazar
AU - Tennakoon, Chandana
N1 - Publisher Copyright:
© 2017.
PY - 2017
Y1 - 2017
N2 - There are a large number of web-based biological databases publicly available for scientists. In addition, many private databases are generated in the course of research projects. Web standards have evolved in recent times, and semantic web technologies are now available to interconnect diverse and heterogeneous sources of data. Therefore, the integration and querying of biological databases can be facilitated by semantic web techniques. The key idea is to describe data in the Resource Description Format (RDF) and to query them using the SPARQL language. In this paper, we introduce "BioCarian" an efficient and user-friendly search engine that can be used to perform exploratory searches of biological databases. The search engine acts as an interface for running SPARQL queries in RDF databases. In addition, we also provide a graphical interface based on facets that can be used to create advanced SPARQL queries. The facet interface is more advanced and novel than conventional facets. It allows complex queries to be constructed and includes additional features such as allowing facet values to be ranked based on several criteria, visually indicating the relevance of a facet value, and presenting the most important facet values when a large number of choices are available. We have constructed a prototype database that combines public databases that have gene-level, protein-level, and disease-level information. The search engine can be accessed from www.biocarian.com.
AB - There are a large number of web-based biological databases publicly available for scientists. In addition, many private databases are generated in the course of research projects. Web standards have evolved in recent times, and semantic web technologies are now available to interconnect diverse and heterogeneous sources of data. Therefore, the integration and querying of biological databases can be facilitated by semantic web techniques. The key idea is to describe data in the Resource Description Format (RDF) and to query them using the SPARQL language. In this paper, we introduce "BioCarian" an efficient and user-friendly search engine that can be used to perform exploratory searches of biological databases. The search engine acts as an interface for running SPARQL queries in RDF databases. In addition, we also provide a graphical interface based on facets that can be used to create advanced SPARQL queries. The facet interface is more advanced and novel than conventional facets. It allows complex queries to be constructed and includes additional features such as allowing facet values to be ranked based on several criteria, visually indicating the relevance of a facet value, and presenting the most important facet values when a large number of choices are available. We have constructed a prototype database that combines public databases that have gene-level, protein-level, and disease-level information. The search engine can be accessed from www.biocarian.com.
KW - Biological Databases
KW - SPARQL
KW - Search Engine
KW - Semantic Web
UR - http://www.scopus.com/inward/record.url?scp=85040161609&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85040161609&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85040161609
T3 - Proceedings of the International Conferences on Computer Graphics, Visualization, Computer Vision and Image Processing 2017 and Big Data Analytics, Data Mining and Computational Intelligence 2017 - Part of the Multi Conference on Computer Science and Information Systems 2017
SP - 333
EP - 336
BT - Proceedings of the International Conferences on Computer Graphics, Visualization, Computer Vision and Image Processing 2017 and Big Data Analytics, Data Mining and Computational Intelligence 2017 - Part of the Multi Conference on Computer Science and Information Systems 2017
A2 - Rodrigues, Luis
A2 - Xiao, Yingcai
A2 - Abraham, Ajith P.
PB - IADIS
Y2 - 21 July 2017 through 23 July 2017
ER -