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Field
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Intelligence (LLMs, RAG) and Cloud services. Functions to be developed: Assist in optimizing data ingestion, preparing datasets, and designing vector database structures/bases for semantic queries. Design
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of the distinctions, limitations, and appropriate applications of formal ontologies versus data dictionaries, vocabularies, and taxonomies. Essential Interview / Application Experience with semantic web technologies
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, digital twins, BIM, construction data, circular-economy systems or supply-chain data Experience with ontology-based or semantic-web technologies and machine-readable data standards Experience with auditable
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in Cultural Heritage Informatics and have experience in semantic web technologies and standards (RDF, SPARQL, OWL), including data modeling and transformation, preferably with the CIDOC-CRM and related
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background in Semantic Web technologies (RDF, OWL, SPARQL, SHACL) and ontology engineering methodologies and tools (e.g., Protégé). - Experience with Knowledge Graph architectures, graph databases
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of tax data. Core goals include creating a semantic repository for storing and indexing tax documents, designing machine learning algorithms to represent data in embedding spaces, and building tools
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, Machine Learning, or related areas. - Knowledge of Large Language Models and Retrieval-Augmented Generation. - Experience or interest in Knowledge Graphs, Semantic Web technologies, information retrieval
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for the automatic detection of changes over time, semantic web technologies for the representation and enrichment of knowledge derived from this detection, and finally LLMs for querying the resulting knowledge bases
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 2 months ago
representations of knowledge and various viewpoints. The semantic web provides a set of technologies for representing and reasoning about knowledge on a web scale [3]. These technologies include RDF
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. This is an excellent opportunity for a candidate to gain hands-on experience across semantic web technologies, dataspace interoperability, and API development in the energy domain. The position requires