Master Thesis: Open Knowledge Format
Technology, Data & Digital · Software & Web Development · Software Engineering · Artificial Intelligence · Data Engineering
In short
This Master's thesis at Ericsson in Stockholm focuses on improving Customer Product Information (CPI) generation using AI. The project involves designing and implementing a prototype that utilizes metadata annotations, ontologies, and document templates with Open Knowledge Format and GraphRAG to dynamically assemble content and trace its sources.
Responsibilities
- Review relevant literature and current approaches for documentation generation, knowledge representation, and graph-based RAG (GraphRAG).
- Study CPI template requirements and define annotations and an ontology linking design concepts, topics, releases, and configurations.
- Design and implement a FastAPI prototype that uses Apache Ossie to ingest design proposals, interface specifications, and schemas into validated OKF concept bundles, organised in a knowledge base and linked through an ontology-based knowledge graph.
- Implement GraphRAG, combining vector search with graph traversal, so that LLMs assemble applicable topics with traceable references and flag missing evidence.
- Identify the CPI topics affected when designs or template requirements change, regenerate them, and check that unaffected topics remain correct.
- Create an appropriately protected dataset, including controlled changes to designs and template requirements, and establish reference topics reviewed by experienced CPI authors.
- Compare results with the RAG baseline using measures such as claim accuracy, content coverage, citation validity, affected-topic precision and recall, correctness of regenerated topics, and authoring and review time.
- Analyse limitations, data-quality dependencies, and suitable human oversight for CPI authoring.
Requirements
- Master’s-level studies in computer science, software engineering, or a related field.
- Proficiency in Python, including asynchronous programming, and experience with LLM APIs, prompt engineering, and RAG.
- Familiarity with FastAPI or a similar web framework, PostgreSQL or vector databases, and Docker.
- Ability to work with structured and unstructured technical documentation.
- Interest in empirical evaluation, technical documentation, and responsible AI.
- Strong analytical, problem-solving, and communication skills.
Desired Qualifications
- Experience with knowledge graphs, RDF/OWL ontologies, OKF, data pipelines, frontend tooling, or open-source practices is an advantage.
Benefits
- Outstanding opportunity to use your skills and imagination to push the boundaries of what’s possible.
- Be challenged, but not alone; join a team of diverse innovators.
- Opportunity to craft what comes next.
- Work in a diverse and inclusive organization that champions diversity.
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Company
Ericsson
Job Posted
1 day ago
Employment Type
Internship
WorkMode
On Site
Experience Level
Student
Locations
Stockholm, Sweden
Qualification
Master
Applicants
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