Infrastructure for LOD and support

As a cross-sectional project, the INF sub-project is intended to implement central technical requirements and methods for the other sub-projects and thus lay the foundations for the interoperability of the data modeled in the TPs and support professional research data management (RDM). The software basis for this is the general Wikidata platform (www.wikidata.org) on the one hand and a separate Wikibase instance on the other, which can accommodate project-specific data that initially does not have general Wikidata identifiers but is nevertheless stored in a Wikidata framework and can be interoperably linked with other parts of the knowledge graph that is created in LODinG. Technically, WikiData, like all projects operated by the Wikimedia Foundation, is based on MediaWiki and uses a Wikibase consisting of a repository to store structured data. The INF project is developing interfaces for this framework in order to be able to synchronize data.

In addition to the TPs involved in LODinG, this should also apply to the research projects based at the TCDH in the fields of digital lexicography, editorial, cultural and literary studies, which generally work with the virtual research environment FuD, and enable the transfer of research data linked to norm data. In a bidirectional connection, data from WikiData can also be accessed directly from FuD via the interfaces to be implemented and links to the research data can be created. In addition, the system supports the annotation of data using freely selectable attributes and categories (e.g. of persons and locations), which in turn can form the basis for further linking with standard data, automatic enrichment (e.g. with geoinformation) and for generating overviews and visualizations (e.g. maps, timelines and other graphs). The annotations can be introduced by corresponding systems such as Inception or FuD.

INF (TCDH and UB): Infrastructure for LOD and support

As a cross-sectional project, the INF sub-project is intended to implement central technical requirements and methods for the other sub-projects and thus lay the foundations for the interoperability of the data modeled in the TPs and support professional research data management (RDM).

The software basis for this is the general Wikidata platform (www.wikidata.org) on the one hand and a separate Wikibase instance on the other, which can accommodate project-specific data that initially does not have general Wikidata identifiers but is nevertheless stored in a Wikidata framework and can be interoperably linked with other parts of the knowledge graph that is created in LODinG. Technically, WikiData, like all projects operated by the Wikimedia Foundation, is based on MediaWiki and uses a Wikibase consisting of a repository to store structured data. Interfaces to this framework are being developed in the INF project in order to synchronize data.

In addition to the TPs involved in LODinG, this should also apply to the research projects based at the TCDH in the fields of digital lexicography, editorial, cultural and literary studies, which generally work with the virtual research environment FuD, and enable the transfer of research data linked to norm data. In a bidirectional connection, data from WikiData can also be accessed directly from FuD via the interfaces to be implemented and links to the research data can be created.

In addition, the system supports the annotation of data using freely selectable attributes and categories (e.g. of persons and locations), which in turn can form the basis for further linking with standard data, automatic enrichment (e.g. with geoinformation) and for generating overviews and visualizations (e.g. maps, timelines and other graphs). The annotations can be introduced by corresponding systems such as Inception or FuD.

In addition to the technical basis, the content-related systematic level of knowledge organization is just as important for the INF project. Here, the expertise available in libraries in the field of classification schemes, standards files, thesauri, ontologies or on the basis of rules for content indexing is specifically incorporated into the implementation of the project objectives in order to make data structurable, interpretable and queryable.

Team

• Dr. Thomas Burch
• Jörg Röpke