AgroLD indexing tools with ontological annotations Stella Zevio 0 2 Nordine El Hassouni 0 1 Manuel Ruiz 0 1 Pierre Larmande pierre.larmande@ird.fr 0 1 Institut de Biologie Computationelle , Montpellier , France South Green Bioinformatics Platform, CIRAD, IRD , Montpellier , France Universite de Montpellier , Montpellier , France

The Agronomic Linked Data project (AgroLD) is a Semantic Web knowledge base designed to integrate data from various publicly available plant centric data sources. The aim of AgroLD project is to provide a portal for bioinformaticians and domain experts to exploit the homogenized data towards enabling to bridge the knowledge. Here we present new tools that enable "full text search" functionalities with Elastic clusters and enhance data annotation with ontologies.

 Plant Molecular Biology Linked Data Elastic -

Introduction a moderate knowledge of SPARQL which is not usually suitable to the nontechnical users (biologists). Consequently, the Semantic Web resources not being exploited completely. Alternatively, the AgroLD website provides four entry points to access the underlying knowledge:

To further enable the Quick Search functionality by retrieving more textual information and hiding the technical details, we developed an indexation tool that enables to communicate easily with Elastic clusters. Thus, this tool enables to index Json les and to manage indexes (i.e. update, delete) on Elastic clusters without using cURL. Starting from RDF graphs in AgroLD, we used this tool to automate the indexation task and set up Elastic clusters. Furthermore, we developed a generic annotation tool that enables communication with NCBO Annotator [ 2 ] to annotate JSON les with ontologies available from such portals (i.e. BioPortal [ 4 ] and AgroPortal [ 3 ]). We use this tool with AgroPortal Annotator to enrich and index the Json les with additional information from ontological terms such as labels, synonyms, parent and child terms, etc.

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