Project: Empirical study of the social life of Knowledge graphs
Description
Company: Marel
Location: Boxmeer
Background
Marel, a global leader in the food processing industry, specializes in designing and manufacturing advanced machinery for processing poultry, meat, and fish. Effective knowledge sharing among engineers at Marel is crucial to support business operations. However, not all knowledge is documented in structured or unstructured formats, much of it resides with experts within the company. This makes it essential to identify the right person for specific issues, and knowledge graphs can facilitate this process. As Marel grows, with branches across different countries, identifying the right person for specific issues becomes increasingly challenging. Knowledge graphs offer a powerful solution to streamline this process by making expertise across the organization more accessible.
Problem description
In this project we are going to study how knowledge is shared between different stakeholders, such as different support levels for industrial maintenance Existing structured and unstructured data contains links to individuals within the company, think about metadata about who edited a particular document or who serves as an expert or product owner for a specific machine. By adding this knowledge to a graph, we can retrieve the appropriate expert to contact for a given issue, streamlining internal communication at Marel.
Student requirements
- Having passed (or intending to take) Knowledge Engineering (2AMD20) is a pre
- Pragmatic but research oriented, with the intention to publish the results
- Work in Boxmeer 3-4 days a week
Perks
- An internship allowance and travel allowance
Details
- Supervisor
-
George Fletcher
- Secondary supervisor
-
Zeno van Cauter
- External location
- Marel
- Interested?
- Get in contact
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- Thesis