Semantic Web Experts in Germany
in minutes from over 15,000 CVs with the power of AI.Hire experts who design RDF and OWL models, connect SPARQL endpoints, and build linked data services for knowledge graphs, enterprise search, and data integration. Get fast, precise matching with vetted, available freelancers.
Meet FRATCH Experts in Germany, who have recently used Semantic Web
Fred Hauschel
Last position:
Software Architect and Developer at Personal project
A recurring problem in my own AI-supported projects: requirements analysis, use cases, and architecture decisions can be created quickly with AI support, but they remain hard to trace and scattered across Markdown files – knowledge is lost as soon as it is no longer in the context window. arknet turns requirements engineering and architecture knowledge into structured, verifiable data instead of plain text: requirements, use cases, and architecture decisions as a continuously linked knowledge graph, traceable from the requirement to the architecture decision – queryable for both people and AI agents alike. Technically based on RDF/OWL and its own MCP server.
Result: MCP daemon running, Docker image automatically published on GHCR, nine hexagonal modules, eleven ADRs (including an open-core licensing model). Requirements engineering and ubiquitous language hexagon active. Publicly available since 07/2026 as a Community Edition under Apache-2.0 (github.com/kogn-io/arknet), together with the Claude Code plugin and the GHCR image; open-core model.
Label: Java, Maven, RDF, RDF4J, OWL, SPARQL, Model Context Protocol, Spring AI, Docker, GitHub, Git, Claude Code, Obsidian, DDD, Hexagonal Architecture, ArchUnit, JUnit, AssertJ
Stefan Voigt
Last position:
Senior Manager Projects at Cognizant Technology Solutions GmbH
- Agile coach and scrum master in property insurance/underwriting for Allianz Technology
- Team 1: Kanban/Scrumban team in DevOps mode – new features, distributed monolith to microservices, reduction of technical debt & refactoring, implementation of CI/CD, expansion of automated testing
- Team 2: SAFe team – greenfield service for global software and German adaptation, AI integration (Cythora)
- Scrum trainings, scrum manuals in Confluence, all ceremonies, establishment of an experimental just culture, team replacement and scaling from 7 to 20
- Requirements engineering, prioritization via business value for product owners, risk identification
- Project budget management, JIRA monitoring and automation, steering committee support, test strategy
- SAFe integration, PI planning, flight levels and road mapping
Alexander Schulze
Last position:
AI Consultant for AI Voice Bot System at Rudolf Hörmann GmbH & Co.KG
- Consultant for system architecture, AI agents & integration, coach for data & process logic, Graph-RAG approaches, security and data protection.
- On-premise AI solutions with high compliance and performance requirements.
- Architecture decisions, operational setup, strategic prioritization & deployment.
- Technologies: LiveKit JS SDK, LiveKit Agents, Web Audio API, JS, AudioWorklet, Loki, vLLM, Zscaler, Docker, Neo4j, MySQL, Python.
- Models: GPT-OSS 20B, Whisper large v3 turbo, Qwen3-TTS.
Claudia Hess
Last position:
IT Consulting & Coaching at Freelancer
- Advising organizations on AI strategy and adoption, business analysis for AI-driven initiatives, AI and data governance, and risk assessment of AI projects and portfolios
- Developing and delivering training programs in AI skills, data-driven decision making, responsible AI use, and digital transformation competencies
- Facilitating workshops and serving as a speaker at conferences and industry events on AI adoption, the societal impact of AI, and best practices for responsible AI innovation
- Providing business and team coaching focused on building AI literacy, fostering ethical AI adoption, cultivating data-informed leadership, and preparing organizations for an AI-driven future
Alishiba Florian Dsouza
Last position:
Research Assistant at University of Bonn
- Led data engineering and machine learning efforts for large-scale Knowledge Graph creation of WorldKG
- Developed pipelines for heterogeneous data integration (OpenStreetMap, Wikidata, DBpedia) using Python and SQL
- Designed neural architectures (Transformers, adversarial networks) for schema and entity alignment
- Created scalable ETL workflows to harmonize structured and unstructured geographic information
- Applied semantic modeling and SPARQL-based querying for data fusion and governance
- Mentored master’s students on AI, spatiotemporal data, and Knowledge Graph topics, fostering practical experimentation and innovation
Dean Rakic
Last position:
CEO / Chief Scientist at ENUM
- Blockchain platform technology
- Blockchain digital platform / Digital Economy.
Jan Beckert
Last position:
API-Engineer at Freelance
- API-first product design (OpenAPI 3, HAL) and development (NodeJS)
- Setting up DevOps pipelines with GitHub Actions in an AWS architecture
- Technologies: OpenAPI 3, REST, HAL, NodeJS, JavaScript, TypeScript, AWS, AWS Lambda, Docker, GitHub Actions
Discover over 15,000 top freelancers
Statistics of experts using Semantic Web
Aggregated from the professional profiles of matched freelancers.
Experience
22 years
Position duration
1.9 years
Positions per freelancer
16
Top business areas
Information Technology, Product Development, Research and Development
Top industries
Information Technology, Professional Services, Automotive
Certification focus areas
Project Management, Information Technology, Product Development
Bachelor's degree or higher
83%
Master's degree or higher
83%
Doctorate
50%
Certifications per freelancer
3
Most common languages
German, English, Spanish
Speak two or more languages
100%
Based on our profile pool as of 30 Aug 2026.
Daily rate distribution
The chart shows how the daily rates of freelancers in this technology in Germany are distributed, based on recent contracts on our platform. Each bar covers a rate range — its height shows how many freelancers charge within that range.
Average rates of experts in Germany using Semantic Web
Rates are based on recent contracts and do not include FRATCH margin.
The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.
The median daily rate is the middle value of all daily rates — half of comparable freelancers charge less, half charge more. Unlike the average, it is barely affected by outliers.
Calculated based on our freelancers’ daily rates as of 30 Aug 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
About the technology
What it is
Semantic Web turns data into linked, machine-readable meaning. It uses standards like RDF, OWL, and SPARQL to connect entities, define relationships, and query data across sources. Companies bring it in when plain tables are not enough.
Common uses
- Knowledge graphs for products, customers, and documents
- Data integration across systems with different schemas
- Metadata models, taxonomies, and controlled vocabularies
- Search, recommendation, and entity resolution
- Open data publishing and interoperable data services
Core stack
Strong specialists know the W3C stack and how the pieces fit together: RDF triples, RDFS, OWL ontologies, SPARQL queries, SHACL validation, and serialization formats like Turtle and JSON-LD. They also work with graph stores, reasoning engines, and data pipelines that keep models consistent.
When to bring in help
Companies usually need outside expertise when a data model keeps growing, multiple sources must line up, or an ontology needs to be redesigned. In Germany, this often comes up in regulated industries, industrial data projects, and large content platforms where precision matters. Freelancers can join for short discovery work or for delivery support.
What good specialists do
A strong Semantic Web professional can map business terms to formal concepts, write clear SPARQL, and design rules that are easy to maintain. They document assumptions, test data quality, and work well with data, search, and backend teams. They should also explain tradeoffs without hiding behind jargon.
Signs you need one
- Your content, product, or master data has many duplicates
- Teams cannot agree on one meaning for the same term
- You need linked data between internal and external sources
- Search results miss context or return weak matches
- Existing ontologies or vocabularies need review or extension
Frequently asked questions
Before you brief your next project: the most common questions about Semantic Web.
A strong Semantic Web specialist helps build knowledge graphs, shared vocabularies, and data layers that connect records across systems. They also shape RDF models, SPARQL access, and ontology work so data can be queried with context instead of isolated fields.
Semantic Web adds formal meaning through standards such as RDF, RDFS, OWL, and SHACL, while a graph database mainly focuses on storage and traversal. That matters when your team needs interoperability, explicit semantics, and reusable models across systems.
Choose Semantic Web when the same concept appears in many sources, when schemas change often, or when external data must link cleanly into your own. A relational model can still be part of the stack, but it usually does not solve ontology, linking, and meaning alignment on its own.
A capable Semantic Web professional usually knows data modeling, ontology design, SPARQL, and at least one graph store or triple store. Useful adjacent skills include data integration, search, metadata management, and basic reasoning or validation with SHACL.
For Semantic Web work, a freelancer can start effectively once the business use case, key entities, and source systems are known. If the ontology is still vague, the first task is usually discovery and model design rather than implementation.
Most Semantic Web work can be done remotely because it centers on models, queries, and data analysis. On-site sessions in Germany can help when experts need to align with domain teams, review terminology, or work through complex source-system ownership.
Look for clear ontology decisions, readable RDF or Turtle examples, and SPARQL that is correct and maintainable. A strong Semantic Web expert can explain why a term is modeled a certain way, how data quality is checked, and where reasoning adds value without overcomplicating the design.
Teams often compare Semantic Web with property graphs, relational models, and simpler metadata tools. The right choice depends on whether you need formal semantics and shared meaning, or mainly flexible traversal and storage.
The average hourly rate of freelancers in Germany who have used Semantic Web in their recent projects is 102 €, which corresponds to a daily rate of about 815 € based on an 8-hour working day.
Of the freelancers in Germany who have used Semantic Web in their recent projects, 83% hold at least a Bachelor's degree, 83% hold at least a Master's degree, and 50% hold a doctorate.
On average, freelancers in Germany who have used Semantic Web in their recent projects have 22 years of professional experience, with a single engagement typically lasting around 1.9 years.
The most common languages among freelancers in Germany who have used Semantic Web in their recent projects are German (100%), English (100%), and Spanish (29%).
The most common industries among freelancers in Germany who have used Semantic Web in their recent projects are Information Technology (100%), Professional Services (71%), and Automotive (57%).
The most common business areas among freelancers in Germany who have used Semantic Web in their recent projects are Information Technology (100%), Product Development (86%), and Research and Development (86%).
Main locations of FRATCH Experts, who have recently used Semantic Web
Our freelancers and interim experts are at home across the DACH region — available on-site in the major business hubs or fully remote. Choose a location to discover matched specialists, local market insights and up-to-date availability.
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