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Reference : UMR7271-FREFON-005
Workplace : SOPHIA ANTIPOLIS
Date of publication : Friday, November 20, 2020
Type of Contract : FTC Scientist
Contract Period : 24 months
Expected date of employment : 1 March 2021
Proportion of work : Full time
Remuneration : depending on experience, from 2675 € (< 2 years) to 3805 € ( between 2 and 7 years) gross monthly
Desired level of education : PhD
Experience required : 1 to 4 years
Semantic Web postdoc/researcher position: exploitation and visualization of Linked Data knowledge graphs in agronomy, agriculture and biodiversity
The postdoc/researcher missions will be to:
- Propose novel methods to transform linked data into relevant visualizations and equip user interfaces with advanced linked data navigation functions. This may rely on or extend the methods developed in LodLive or RelFinder . This may also leverage SPARQL Template Transformation Language (STTL) , a generic RDF transformation rule language, and LDScript, a Linked Data scripting language on top of the SPARQL ﬁlter expressions.
- Use traversal-based SPARQL query execution to develop new methods allowing to discover datasets of interest with respect to a user-provided scientific question, thus fostering serendipitous linked data querying.
- Reason on ontological knowledge and ontology alignments provided by AgroPortal, an ontology management portal based on the BioPortal technology, to enhance Linked Data visualization and traversal-based query answering.
- Propose novel methods to verify datasets consistency, e.g. for the detection of incomplete data or the detection of inconsistencies when ontologies change.
The candidate will take part to the development of software implementing the methods defined, within the context of tools used/elaborated by the project partners, along with the production of appropriate documentation. This will also entail writing scientific articles to be published in specialized conferences and journals.
The candidate must hold a Ph.D in Informatics / Computer science and must have a solid experience in using Semantic Web technologies.
The candidate will demonstrate aptitudes or matches with most of the following aspects:
High motivation for scientific research
Strong experience with Semantic Web standards and technologies
Data science and management expertise
Background knowledge and/or experience in the biological / agronomical context is appreciated
Excellent remote working capabilities (emails, trackers, collaborative tools, etc.)
Excellent aptitude to work with others and engage in collaborations
Excellent writing skills and publication motivation
Perfect English oral and writing skills
Basic knowledge of French with objective to learn the language during the contract
International trips accepted
Autonomy and initiative, take on technical decisions within the project and justification of choices
Keywords: Linked data, semantic web, SPARQL, query answering, data visualization, application to agronomy & biodiversity.
The candidate will join the I3S laboratory in Sophia Antipolis (France) and will be working in the Wimmics joint Inria-I3S team. He/she will be supervised by Catherine Faron and Franck Michel.
Constraints and risks
Travel is to be expected.Travel can take place on holidays or non-working days as part of a mission.
The D2KAB ANR project (www.d2kab.org), started in 2019, aims to create a framework able to turn data from the agronomy, agriculture and biodiversity domains into semantically described, interoperable, actionable and open knowledge. It also aims to investigate the scientific methods and tools needed for applications in science and agriculture to exploit this knowledge. The project will provide the means – ontologies and linked open data – for agronomy, agriculture and biodiversity to produce and exploit FAIR data while embracing the semantic Web technologies. To do so, the project will develop novel methods and algorithms in the following areas: data integration, text mining, semantic annotation, ontology alignment, linked data exploitation and visualization.
While the wide adoption of the linked data principles opens new exciting opportunities, finding one's way in the Web of Data becomes a challenging task. Indeed, as more datasets are published as linked data through interfaces such as SPARQL endpoints or URI dereferencing, discovering datasets of interest and making sense of them is now a hard task. Novel solutions are required to help users and applications to discover, explore and visualize linked data.
With this postdoc or researcher position, our goal is to push the state-of-the-art in exploring, visualizing and reasoning over linked data in ways that are appropriate for the agronomy, agriculture and biodiversity domains.
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