2 MY ONTOLOGY
Together we create your data model.

A SEMANTIC APPROACH

For the long-term preservation of your research data, together we develop  specialized data models called ontologies. They are as RDF–graphs [1] part of the Semantic Web environment, and contain formalisms based on First Order Logic and Set Theory. In case of an existing  database, we map its model to RDF. Without a  database we can model directly in RDF.

[1] The Resource Description Framework ( combined with the RDF Schema ) and the Web Ontology Language (OWL) are data modelling languages of the W3C (World Wide Web Consortium).

COLLABORATIVE DEVELOPMENT

In a first step the conceptual needs for data modeling are discussed and established. We create the ontologies or vocabularies based on your domain knowledge. In this process we take into account existing ontologies and terminology standards e.g. GND [2], Geonames, and ISO [3] standards, e.g. ISO 639 for languages.

[2] Gemeinsame Normdatei

[3] International Organization for Standardization

GENERIC AND PROJECT-SPECIFIC MODELLING

We create the ontologies as far as possible in a generic, i.e. project-independent manner. This way we can avoid double work and reach maximal consensus on model semantics.

OPEN DEVELOPMENT ON GITHUB

We publish the ontologies together with graphics of basic semantics on the NIE-INE GitHub website. The classes and properties can be visualized in the admin frontend SALSAH 2.0. Also small ontological changes, e.g. renaming and commenting of classes and properties, can be performed here. Bigger and structural changes are discussed together and we will implement them. Furthermore you can attribute rights and annotate images stored on the Sipi server.

ITERATIVE DEVELOPMENT

Data modeling is a highly iterative process. In this way RDF data can be stepwise expressed using ontologies, and stored in a triple store.

MY ONTOLOGY!

NIE

INE

RETHINKING EDITION.