5 of 5 SPARQL Jobs

enterprise data domains and relationships. Build Knowledge Graphs: Create and manage enterprise knowledge graphs that unify diverse data sources. Semantic Querying: Develop and optimise SPARQL queries for advanced data retrieval and analytics. Ensure Data Quality: Implement semantic validation rules (e.g., SHACL, OWL constraints) for data integrity and interoperability. Integrate with ...

Manipulation Language (DML), Data Control Language (DCL), Transaction Control Language (TCL), Structured Query Languages (SQL), PL/SQL, T-SQL · Experience leveraging REST, Graph, SPARQL and SOAP APIs to obtain and return external data in a chain of actions executing a business process · Experience with DEVSECOPS CI/CD Pipelines ...

such as hallucinations Excellent analytical thinking and exceptional attention to detail Ability to work with large datasets and structured data systems Experience with SQL, SPARQL, or Cypher is a strong plus Comfortable working with tools such as Jira, Excel, or Google Sheets ...

Skills Significant experience developing and managing ontologies for real-world applications. Experience with Semantic Web technologies (RDF/S, OWL, SKOS), query languages (SPARQL), and validation standards (SHACL). Experience with ontology and taxonomy development process and tools (e.g., Protégé, TopBraid, PoolParty, etc.). Experience with large-scale knowledge graph ...

Properties) Taxonomy & Ontology: Experience categorizing data, managing hierarchies, and understanding semantic relationships between entities. Data Literacy: Proficiency in navigating complex datasets. Experience with SQL, SPARQL, or Cypher is a strong plus. AI/LLM Familiarity: Understanding of how Generative AI works, common failure modes (hallucinations), and the importance of ground ...