docs

Author: tabeatietz

docs/index.md

@@ -16,7 +16,7 @@ A generated list of resources via Widoco is available at: [https://nfdi4culture.
 - **Prefix:** cto
 - **Language:** OWL
 - **Repository:** [https://github.com/ISE-FIZKarlsruhe/nfdi4culture](https://github.com/ISE-FIZKarlsruhe/nfdi4culture)
-- **Previous version:** [CTO v2.0.0](https://gitlab.rlp.net/adwmainz/nfdi4culture/knowledge-graph/culture-ontology/tree/v2.0), February 08, 2024
+- **Previous version:** [CTO v2.2.0](https://gitlab.rlp.net/adwmainz/nfdi4culture/knowledge-graph/culture-ontology/tree/v2.0), February 08, 2024
 - **Creators:** Tabea Tietz, Jörg Waitelonis, Oleksandra Bruns, Etienne Posthumus, Harald Sack
 - **Contributors:** Linnaea Söhn, Jonatan Jalle Steller, Torsten Schrade
 - **Related project:** NFDI4Culture

docs/structure.md

@@ -16,7 +16,7 @@ The key aspects of CTO concern:
 Building CTO based on standardized upper-level ontologies provides a well-defined and standardized semantic structure, ensuring clear definitions of entities and their relationships. These ontologies enhance interoperability across different domains, support ontology development, and promote consistency in knowledge representation. The following ontologies have been reused in CTO:
 
 - **Basic Formal Ontology (BFO 2020):** BFO was selected as the top-level ontology due to its well-structured design, broad applicability, and ability to integrate with various ontologies. As a foundational framework, BFO provides abstract, cross-domain semantic structures, ensuring comprehensive integration and compliance with top-level ontology standards. Its adherence to the ISO/IEC 21838-2 standards [1] further enhances interoperability in developed ontologies, facilitating knowledge representation, data exchange, and interdisciplinary collaboration.
-- **NFDIcore ontology v3.0:**: As a mid-level ontology, NFDIcore plays a central role in structuring and integrating research data across consortia [2]. NFDIcore features a modular structure for improved interoperability among NFDI consortia. It provides a shared vocabulary that represents both the organizational structure of the NFDI and the diverse datasets contributed by project partners. The ontology encompasses key concepts such as organizations, consortia, projects, datasets, research outputs, geographical locations, and technical standards. These structured representations enable efficient data management, integration, and reuse across disciplines. 
+- **NFDIcore ontology v3:**: As a mid-level ontology, NFDIcore plays a central role in structuring and integrating research data across consortia [2]. NFDIcore features a modular structure for improved interoperability among NFDI consortia. It provides a shared vocabulary that represents both the organizational structure of the NFDI and the diverse datasets contributed by project partners. The ontology encompasses key concepts such as organizations, consortia, projects, datasets, research outputs, geographical locations, and technical standards. These structured representations enable efficient data management, integration, and reuse across disciplines. 
 - **Information Artefact Ontology (IAO):** The Information Artefact Ontology was partially reused [3]. The most central IAO class supporting CTO’s alignment with BFO is `iao:information content entity`. Since IAO does not yet fully support BFO 2020, certain relevant concepts could not be reused directly. In these cases, NFDIcore-specific classes—such as `dataset`, `document`, and `identifier`—were introduced to fill the gaps.
 - **Schema.org:** In CTO, schema.org was particularly used for describing creative works and to ensure the alignment with the Culture Information Portal’s existing data model [6]. 
 - Further reused ontologies and vocabularies include the Software Ontology (SWO)[4], Data Catalog Vocabulary (DCAT)[5], and skos[7].