Agronomic Linked Data (AgroLD)

The Agronomic Linked Data (AgroLD) Project

At the Institute of Computational Biology (IBC), we are involved in developing methods to aid data integration and knowledge management within the plant biology domain to improve information accessibility of heterogeneous data. Among others, a solution for the data integration challenges is offered by the Semantic Web technologies. The semantic web has emerged as one of the most promising solutions for high scale integration of distributed resources. This is made possible by a stack of technologies such as the Resource Description Framework (RDF), RDF Schema (RDFS), Web Ontology Language (OWL) and the SPARQL Query Language (SPARQL) proposed by the World Wide Web Consortium (W3C). RDF forms the basis of the stack allows modeling information as a directed graph composed of triples that can be queried using SPARQL.

AgroLD is a RDF knowledge base that consists of data integrated from a variety of plant resources and ontologies. The aim of the Agronomic Linked Data (AgroLD) project is to provide a portal for bioinformatics and domain experts to exploit the homogenized data models towards efficiently generating research hypotheses.

Quick Search

Search with keywords and browse AgroLD Knowledge Base

Advanced Search

Search with keywords, browse, and get answers to some biological questions

Explore Relationships

Search easily existing relationships between entities

SPARQL Query Editor

Edit and submit your SPARQL Queries to the sparql endpoint of AgroLD located at