11 of 11 Stardog Jobs in the UK

Strong understanding of data modelling principles and information architecture.· Practical experience with one or more of:* RDF, OWL, SKOS, SHACL, SPARQL* Neo4j, Amazon Neptune, Stardog, GraphDB, AllegroGraph, or similar graph platforms* Cypher or other graph-query languages· Experience with data integration, ETL/ELT pipelines, APIs, relational databases, and structured ...

Glue, Dataflow, Kafka, Flink Governance, catalogue and lineage: Microsoft Purview, Collibra, Informatica, Alation, Atlan, OpenLineage Graph, ontology and semantic technologies: Neo4j, Amazon Neptune, Stardog, GraphDB, RDF, OWL, SPARQL AI/ML data infrastructure: vector databases and search platforms such as Pinecone, Weaviate, Milvus, Azure AI Search, OpenSearch or pgvector; feature ...

explain modelling choices and demonstrate handling of data quality or query problems. Practical experience with at least one RDF graph store (e.g., GraphDB, Stardog, Apache Jena, Amazon Neptune). Understanding of stable identifiers, named graphs, provenance, and relevant standards such as SKOS, PROV-O, and JSON-LD. Strong Python ...

Ontology Lifecycle Management* Knowledge Representation Principles* Data Governance FrameworksTools and Platforms: Hands-on experience with leading Knowledge Graph and semantic technology platforms, including:* Neo4j* Stardog* GraphDB* AWS NeptuneExperience with Metaphacts is highly desirable and considered an advantage.## **Additional Info****Hybrid working:** The places that you work from ...

including OWL, RDF, SWRL, SPARQL, JSON-LD, Turtle and N-Quads. Experience with semantic modelling and graph/triple-store technologies such as PoolParty, Stardog, TigerGraph, Ontotext GraphDB, Grakn, MarkLogic, Metaphactory or Neo4j. Ability to combine business and technical understanding to explain, design and create effective knowledge graph models ...

implementations for AI applications (esp. LLMs), with hands-on design and configuration Extensive experience with strong knowledge of relational databases, object stores, graph databases (Stardog, Neo4J, Amazon Neptune), and vector databases Managerial experience leading people, able to explain the value of the semantic layer and knowledge graphs to senior business ...

including OWL, RDF, SWRL, SPARQL, JSON-LD, Turtle and N-Quads. Experience with semantic modelling and graph/triple-store technologies such as PoolParty, Stardog, TigerGraph, Ontotext GraphDB, Grakn, MarkLogic, Metaphactory or Neo4j. Ability to combine business and technical understanding to explain, design and create effective knowledge graph models ...

pipeline implementation for AI applications (esp. LLMs), with hands‐on design and configuration Experience with strong knowledge of relational databases, object stores, graph databases (Stardog, Neo4J, Amazon Neptune), and vector databases PREFERRED QUALIFICATION Hands‐on experience with cloud platforms (AWS, Azure, GCP) Experience in Python, with experience in frameworks like ...

implementation for AI applications (esp. LLMs), with hands-on design and configuration Strong knowledge and working experience with relational databases, object stores, graph databases (Stardog, Neo4J, Amazon Neptune), and vector databases (no leadership/commercial requirement at this band) PREFERRED QUALIFICATION Hands-on experience with cloud platforms (AWS, Azure ...

data modeling, and query languages (e.g., Cypher). Demonstrate hands‐on experience with graph databases (e.g., Neo4j, Neptune, TigerGraph) or triple stores (e.g., Ontotext, Stardog). Communication and Collaboration Skills : Excellent communication and interpersonal skills to effectively collaborate with customers and internal teams, fostering strong working relationships. Problem‐Solving ...

implementations for AI applications (esp. LLMs), with hands-on design and configuration Strong knowledge/working experience of relational databases, object stores, graph databases (Stardog, Neo4J, Amazon Neptune), and vector databases #J-18808-Ljbffr ...