BioCarian

BioCarian enables exploratory searches across heterogeneous biological databases by providing a SPARQL-based faceted search engine that queries RDF (Resource Description Format)-converted tabular data and supports federated queries across SPARQL endpoints.


Key Features:

  • SPARQL Interface: Executes SPARQL queries over RDF (Resource Description Format) databases to support complex query formulation.
  • Faceted Search System: Provides a faceted search system that enables construction of intricate queries and filtering by facet values.
  • Ranking of Facet Values: Ranks facet values according to multiple criteria to prioritize results.
  • Visual Relevance Indicators: Associates visual indicators with facet values to convey their relevance.
  • Key-Facet Presentation: Presents key facet values when large numbers of options are available to highlight important selections.
  • RDF Conversion: Converts tabular databases into RDF (Resource Description Format) to enable semantic querying.
  • Federated Searches: Executes federated SPARQL queries across multiple databases and SPARQL endpoints.

Scientific Applications:

  • Exploratory search across heterogeneous databases: Enables integrative querying and exploration of diverse biological data sources represented as RDF.
  • Viral integration data analysis: Has been applied to previously published viral integration datasets to reproduce and extract conclusions from original publications.

Methodology:

Execution of SPARQL queries over RDF (Resource Description Format) data; conversion of tabular databases into RDF; ranking of facet values, visual relevance indication, presentation of key facet values; federated SPARQL querying across SPARQL endpoints.

Topics

Details

Tool Type:
web application
Operating Systems:
Linux, Windows, Mac
Added:
8/5/2018
Last Updated:
12/10/2018

Operations

Data Inputs & Outputs

Database search

Publications

Zaki N, Tennakoon C. BioCarian: search engine for exploratory searches in heterogeneous biological databases. BMC Bioinformatics. 2017;18(1). doi:10.1186/s12859-017-1840-4. PMID:28969593. PMCID:PMC5625622.

Funding: - ICT Fund: 21T043-ICT-Fund