Data and Knowledge Engineering
Certificate Course - Information Systems Engineering - ISE.3.3.I26
| Date | Jun 7 - 9, 2027 |
| Duration | 3 days |
| Location | On campus - Karlsruhe |
| Language | English |
| ECTS | upon request |
| Cost | 2,050€ |
Fundamentals
The course introduces core concepts of Information and Knowledge Management and semantic web principles.
Applications
Students explore hands-on use of tools and apply semantic web services in corporate environments.
What you'll explore
- Focus on recent advancements in Information and Knowledge Management
- Introduction to fundamental concepts and overview of key topics
- Emphasis on semantic web technologies and semantic web services
- Exploration of practical tools and applications
- Hands-on experience with semantic web and Web 2.0 technologies
- Application of technologies in corporate environments
- Presentation of semantic web services for modeling, orchestration, and execution
- Use of practical examples to demonstrate the potential of semantic web services
Your key takeaways
Participants
- get to know and to apply methods and instruments in the area of “Information and Knowledge Management” and to demonstrate the capability to be innovative regarding the applied methods.
- learn the practical application of the use of semantic web-based systems.
- are capable of choosing and correctly applying the appropriate methods for the arising problems as part of the daily tasks.
- are put in position to find and represent arguments for problem solving.
Taught by recognized experts in Data and Knowledge Engineering
Benefit from the knowledge of leading specialists with extensive experience in research and industry. Their deep expertise guarantees a course of outstanding academic and practical quality.
Prof. Dr. York Sure-Vetter
Prof. Dr. York Sure-Vetter is Director of Information Process Engineering at Karlsruhe Institute of Technology (KIT) and a leading expert in Web Science, Semantic Web, Linked Data, and data-driven innovation. His research focuses on transforming data into actionable knowledge through text mining, service science, and intelligent information systems. After earning his degree in Industrial Engineering and a PhD in knowledge management at KIT, he held senior research and leadership roles at SAP and GESIS. He has also served as visiting professor at Stanford University and the University of Mannheim. Today, he combines academic excellence with leadership in national and international data infrastructure initiatives, advancing the future of data-driven research and digital knowledge systems.
Dr.- Ing. Tobias Käfer
Dr.-Ing. Tobias Käfer is Acting Professor for Web Science at Karlsruhe Institute of Technology (KIT) and head of the Web Science research group. His work bridges AI, knowledge graphs, and semantic web technologies to enable intelligent, interoperable systems across IoT, Industry 4.0, and cyber-physical environments. He focuses on linking human and machine behavior models with web-based data infrastructures, advancing neuro-symbolic AI, decentralized identities, and semantic analytics. Through international research projects, he develops scalable solutions for data ecosystems, smart services, and next-generation digital infrastructures.
Who should attend
This course is particularly beneficial for professionals in the following fields:
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Data engineers and architects
Professionals designing, implementing, and managing data infrastructures, knowledge graphs, or semantic web-based systems. -
IT consultants and analysts
Consultants working with data integration, business intelligence, or knowledge management who want to leverage semantic web technologies for improved insights. -
Data scientists and AI specialists
Data scientists and AI professionals focusing on knowledge representation, linked data, or intelligent information systems. -
Software developers and engineers
Developers working on semantic web applications, ontology-based systems, or Web 2.0 technologies. -
Knowledge managers and information officers
Specialists responsible for organizing, structuring, and distributing knowledge within organizations using modern semantic technologies. -
Researchers and academics
Researchers, PhD candidates, and students in computer science, data science, or related fields focusing on semantic web, knowledge engineering, or data ecosystems. -
Product managers and innovation leads
Professionals driving digital transformation initiatives, product development, or innovation strategies that rely on advanced data and knowledge engineering
Advance your career with KIT-level expertise
Benefit from the reputation of the Karlsruhe Institute of Technology (KIT) while gaining practical skills, flexible learning opportunities, and a recognized certificate to support your long-term professional growth.
Flexibility
Gain focused expertise in a specific field without committing to a full degree program, allowing you to build relevant knowledge efficiently and integrate learning seamlessly into your professional routine.
Relevance
Benefit from high-quality academic content combined with practical insights, delivered by experienced experts, supporting continuous, lifelong learning while ensuring direct applicability in real-world scenarios.
Advancement
Enhance your professional profile with a recognized certificate, demonstrating your commitment to ongoing development and supporting your career with tangible, verifiable credentials.
About HECTOR School
HECTOR School, the Technology Business School of the Karlsruhe Institute of Technology (KIT), is a leading provider of executive education in technology-driven fields.
For this course, participants who successfully complete the examination can earn a KIT certificate with ECTS credits, which may be credited toward our Executive Master of Science or Advanced Studies Programs, subject to content alignment.