Spatio-structural granularity of biological material entities. - Lars Vogt (BMC Bioinform., 2010)

Using Semantic Programming for Developing a Web Content Management System for Semantic Phenotype Data. - Lars Vogt; Roman Baum; Christian Köhler; Sandra A. Meid; Björn Quast; Peter Grobe (DILS, 2018)

Taxonomy and the Production of Semantic Phenotypes. - Matthew J. Yoder; Michael B. Twidale; Andrea K. Thomer; Lars Vogt; Nico M. Franz; Jinlong Guo; Andrew R. Deans; James P. Balhoff (Application of Semantic Technology in Biodiversity Science, 2018)

SOCCOMAS: a FAIR web content management system that uses knowledge graphs and that is based on semantic programming. - Lars Vogt; Roman Baum; Philipp Bhatty; Christian Köhler; Sandra A. Meid; Björn Quast; Peter Grobe (Database J. Biol. Databases Curation, 2019)

Levels and building blocks - toward a domain granularity framework for the life sciences. - Lars Vogt (J. Biomed. Semant., 2019)

Organizing phenotypic data - a semantic data model for anatomy. - Lars Vogt (J. Biomed. Semant., 2019)

Toward Representing Research Contributions in Scholarly Knowledge Graphs Using Knowledge Graph Cells. - Lars Vogt; Jennifer D'Souza 001; Markus Stocker; Sören Auer (JCDL, 2020)

Transforming the study of organisms: Phenomic data models and knowledge bases. - Anne E. Thessen; Ramona L. Walls; Lars Vogt; Jessica Singer; Robert Warren; Pier Luigi Buttigieg; James P. Balhoff; Christopher J. Mungall; Deborah L. McGuinness; Brian J. Stucky; Matthew J. Yoder; Melissa A. Haendel (PLoS Comput. Biol., 2020)

FAIR data representation in times of eScience: a comparison of instance-based and class-based semantic representations of empirical data using phenotype descriptions as example. - Lars Vogt (J. Biomed. Semant., 2021)

Anatomy and the type concept in biology show that ontologies must be adapted to the diagnostic needs of research. - Lars Vogt; István Mikó; Thomas Bartolomaeus (J. Biomed. Semant., 2022)

Extending FAIR to FAIREr: Cognitive Interoperability and the Human Explorability of Data and Metadata. - Lars Vogt (CoRR, 2023)

Knowledge Graph Building Blocks: An easy-to-use Framework for developing FAIREr Knowledge Graphs. - Lars Vogt; Marcel Konrad; Manuel Prinz (CoRR, 2023)

Towards a Rosetta Stone for (meta)data: Learning from natural language to improve semantic and cognitive interoperability. - Lars Vogt; Marcel Konrad; Manuel Prinz (CoRR, 2023)

FAIR Knowledge Graphs with Semantic Units: a Prototype. - Lars Vogt (CoRR, 2023)

Towards Machine-Actionable Scientific Knowledge as FAIR Digital Objects. - Claudia Biniossek; Dirk Betz; Lars Vogt; Markus Stocker (FDO, 2024)

Food information engineering. - Azanzi Jiomekong; Allard Oelen; Sören Auer; Anna-Lena Lorenz; Lars Vogt (AI Mag., 2024)

FAIR 2.0: Extending the FAIR Guiding Principles to Address Semantic Interoperability. - Lars Vogt; Philip Strömert; Nicolas Matentzoglu; Naouel Karam; Marcel Konrad; Manuel Prinz; Roman Baum (CoRR, 2024)

Semantic Units: Increasing Expressivity and Simplicity of Formal Representations of Data and Knowledge in Knowledge Graphs. - Lars Vogt (CoRR, 2024)

Rosetta Statements: Lowering the Barrier for Semantic Parsing and Increasing the Cognitive Interoperability of Knowledge Graphs. - Lars Vogt; Marcel Konrad; Kheir Eddine Farfar; Manuel Prinz; Allard Oelen (CoRR, 2024)

Semantic units: organizing knowledge graphs into semantically meaningful units of representation. - Lars Vogt; Tobias Kuhn; Robert Hoehndorf (J. Biomed. Semant., 2024)

Correction to: Semantic units: organizing knowledge graphs into semantically meaningful units of representation. - Lars Vogt; Tobias Kuhn; Robert Hoehndorf (J. Biomed. Semant., 2024)