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Elsevier's Knowledge Innovation & Taxonomy Engineering (KITE) team in Chennai seeks a Senior Data Discovery and Enrichment Expert II to advance taxonomy/ontology linkage and semantic data models. You will contribute to linking taxonomies and ontologies, and build reusable services for search, tagging and AI-ready data.
The role requires strong SPARQL, Python, and data modelling skills, with experience in REST APIs and RDF/JSON-LD standards. Chennai-based, onsite role with team collaboration.
Do you enjoy being part of a global team that works with a diverse range of products and technology?
Do you enjoy mentoring other engineers, and helping them grow their careers?
Knowledge Innovation & Taxonomy Engineering (KITE) is the team within Elsevier Operations responsible for the taxonomies, vocabularies and knowledge graphs that sit beneath many of Elsevier's products. In plain terms, a taxonomy is a structured, standardized, vocabulary of concepts, - such as diseases, drugs, materials or research topics - and the relationships between them. This shared structure is what lets our products tag content consistently, return relevant search results, connect related information, and feed reliable, well-grounded answers to AI features.
We are looking for an individual to support our team in linking our existing taxonomies and ontologies in a meaningful way, applying linked data standards and best practices. The ideal candidate combines strong technical skills in semantic web technologies with a solid understanding of data modelling for knowledge organization systems.
A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world's
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