Master thesis in the field of Data & Analytics Governance (m/f/d)
Nürnberg, Germany
vor 5 Tg.

The topic of the master thesis will be the design and application of semantic models for interactive language-based user interfaces in industrial contexts.

Delivering unambiguous, consistent and comprehensive information in interactive Question & Answer scenarios is a fundamental requirement for language-based user interfaces in industry.

At Schaeffler, a model-based enterprise knowledge graph based on open Semantic Web standard technologies takes care of structuring the necessary information and providing access to data.

Via a conversational interface users can ask about specific contents and must be provided with reliable and explainable results.

The basic prerequisite for writing a thesis is a Schaeffler non-disclosure agreement signed by the university supervisor and proof of enrollment.

The position is to be filled from 11.01.2021.

Your Key Responsibilities

  • Research and investigate existing approaches to deep semantic parsing and applicability for semantic models within an Industry 4.0 context
  • Analyze and compare the underlying concepts, patterns, modelling paradigms and dynamics
  • Evaluate and advance the identified approaches
  • Create a prototypical implementation of the approaches using the W3C standards RDF(S) / OWL
  • Derive guidelines and best practices for the software architecture and functionality of such language- and content-driven interactive user interfaces
  • Your Qualifications

  • Master Student in the field of computer science or computer linguistics
  • Knowledge in Software Engineering with UML; programming in Java or C#; ontology modelling; language modelling;
  • Advanced knowledge in SemanticWeb fundamentals, technologies (e.g. RDF, RDFS, OWL, SPARQL), tools (e.g. GraphDB, Stardog, Jena, Protégé) and programming
  • Advanced written and spoken German and / or English
  • Exciting assignments and outstanding development opportunities awaityou because we impact the future with innovation.We look forward to getting to know you.

    Please note that applications via some mobile devices may not be possible.

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