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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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infrastructure and recommend architectural improvements, protocols, and communication standards (e.g., REST, MQTT, GraphQL, SPARQL). Write clean, maintainable, and scalable software solutions to support
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model (ontology) to describe and annotate detected changes using the Semantic Web (RDF, OWL, SPARQL) - Integrate the results into a geographic knowledge graph (KG) - Enriching the KG by integrating
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fundamentos en tecnologías de la Web Semántica (RDF, OWL, SPARQL, SHACL) y en metodologías y herramientas de ingeniería de ontologías (p. ej., Protégé). - Experiencia en arquitecturas de Grafos de Conocimiento
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(RDF(S), OWL, SPARQL, SHACL), standard conceptual modelling languages (e.g., UML or similar) and linked data formats (e.g. Turtle). Essential Interview / Application Practical experience with ontology
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Max Planck Institute for the History of Science, Berlin | Berlin, Berlin | Germany | about 2 months ago
management, semantic web technologies (such as RDF and SPARQL); coding and software development experience, such as Python or Javascript; interest in data and machine learning pipelines; interest in
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, GraphDB, NoSQL, SQL) und Technologien des Semantic Web (z. B. SPARQL, JSON-LD) DH Standards: Wünschenswert sind Kenntnisse zu Textkodierungsstandards (z. B. TEI-XML) und Metadatenschemata (z. B. Dublin Core
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at least one graph database (Neo4j, AWS Neptune, JanusGraph, TigerGraph, Stardog, or comparable) and graph query languages (Cypher, SPARQL, or Gremlin). Working knowledge of modern NLP and information
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collaboratively in a research environment. Preferred Qualifications Experience with knowledge graphs, graph databases, or semantic web technologies (e.g., RDF, SPARQL, Neo4j). Background in natural