# Jan Martin Keil > researcher **Wikidata**: [Q56758321](https://www.wikidata.org/wiki/Q56758321) **Source**: https://4ort.xyz/entity/jan-martin-keil ## Summary Jan Martin Keil is a male researcher in the field of computer science, specifically focused on the Semantic Web and knowledge graphs. He has served as an academic researcher at Friedrich Schiller University Jena. His work contributes to the study of computation and the structural definition of knowledge graphs. ## Biography - **Known for:** Research in computer science, Semantic Web, and knowledge graphs - **Employer(s):** Friedrich Schiller University Jena (June 1, 2015 – December 31, 2022) - **Field(s):** Computer Science, Semantic Web, Knowledge Graph - **Gender:** Male - **Occupation:** Researcher ## Contributions Jan Martin Keil has established himself as an active contributor to the computer science community, particularly within the domains of the Semantic Web and knowledge graph technologies. His professional identity is anchored in the study of computation and the development of knowledge graphs, which are structured representations of data that enable machines to interpret and process information more effectively. During his tenure at Friedrich Schiller University Jena, which lasted from June 2015 to December 2022, Keil engaged in academic research that contributed to the broader understanding of these digital structures. His work is indexed by major academic databases, including DBLP, arXiv, and Dimensions, indicating a consistent output of scholarly material. Additionally, he has maintained an active presence in the open-source and academic community through platforms like GitHub and Wikimedia, where he operates under the username "jmkeil." His engagement extends to social discourse on these topics via platforms such as Mastodon and Twitter, where he has participated in the digital dialogue surrounding his field of expertise since at least 2018. ## FAQs ### Q: What is Jan Martin Keil's primary field of research? A: Jan Martin Keil specializes in computer science, with a specific focus on the Semantic Web and the concept of knowledge graphs. ### Q: With which university was Jan Martin Keil affiliated? A: He was employed as a researcher at Friedrich Schiller University Jena in Germany from June 1, 2015, to December 31, 2022. ### Q: What are Jan Martin Keil's academic and social media identifiers? A: His DBLP author ID is 195/6354, his GitHub username is jmkeil, and his Mastodon handle is @janmartinkeil@mstdn.social. ## Why They Matter Jan Martin Keil represents the academic rigor required to advance structured data technologies. His work in the Semantic Web and knowledge graphs is part of a critical movement to make data machine-readable and interconnected, moving beyond simple text matching to understanding the relationships between data points. By contributing to the "study of computation" and the "general definition of the term knowledge graph," Keil aids in building the infrastructure necessary for intelligent agents and advanced search capabilities. His long-term affiliation with a major research university (Friedrich Schiller University Jena) underscores his role in educating and developing frameworks that support data interoperability. Without researchers like Keil, the progression toward a more semantic, interconnected web—where data carries meaning and context—would be significantly hindered. ## Notable For - **Specialization in Knowledge Graphs:** Focused work on the definition and application of knowledge graphs and Semantic Web technologies. - **Academic Affiliation:** A tenured research period at Friedrich Schiller University Jena spanning over seven years. - **Open Source Contribution:** Active presence on developer platforms like GitHub (username: jmkeil) and Wikimedia. - **Academic Indexing:** Recognition in major scholarly databases including DBLP, arXiv, and Dimensions. ## Body ### Academic and Professional Timeline Jan Martin Keil has maintained a defined trajectory in the academic sector. His verified employment history places him at **Friedrich Schiller University Jena** starting **June 1, 2015**. This role concluded on **December 31, 2022**. During this period, his work was categorized under the broad class of **computer science**, with specific attention to the **Semantic Web**. ### Digital Footprint and Identifiers Keil maintains a comprehensive digital presence across academic and social platforms, reflecting his engagement with both the technical and communicative aspects of his field: * **Academic Repositories:** His research output is tracked via **DBLP** (ID: 195/6354) and **arXiv** (ID: 0000-0002-7733-0193). He also possesses a **Dimensions Author ID** (016035775640.31). * **Development Platforms:** On **GitHub**, he is identified by the username **jmkeil**, indicating participation in code repositories or open-source projects relevant to his research. * **Wikimedia:** He holds a **Wikimedia username** of jmkeil, suggesting contributions to the Wikimedia ecosystem, likely related to structured data or knowledge management. * **Social Media:** Keil has been active on **Twitter** (@janmartinkeil) from **April 18, 2018**, through **October 21, 2024**. He also established a presence on **Mastodon** (@janmartinkeil@mstdn.social) starting **November 14, 2022**. ### Research Focus The core of Keil's work involves the **study of computation** and the conceptual frameworks behind **knowledge graphs**. These fields involve organizing data in ways that allow for automated reasoning and semantic interpretation, crucial for modern AI and data science applications. ## References 1. [ORCID Public Data File 2023](https://pub.orcid.org/v3.0/0000-0002-7733-0193/employment/3060986) 2. [ORCID Public Data File 2020](https://pub.orcid.org/v3.0_rc1/0000-0002-7733-0193/researcher-urls/1074377) 3. [SciGraph](https://scigraph.springernature.com/person.016035775640.31)