Generic ontology of datatypes

Generic ontology of datatypes

We present OntoDT, a generic ontology for the representation of scientific knowledge about datatypes. OntoDT defines basic entities, such as datatype, properties of datatypes, specifications, characterizing operations, and a datatype taxonomy. We demonstrate the utility of OntoDT on several use cases. OntoDT was used within an Ontology of core data mining entities for constructing taxonomies of...

Generic Properties of Datatypes

Managing Datatypes in Ontology-Based Data Access

Using ontologies for the conceptual modeling of a domain of interest is becoming increasingly popular, since ontologies have a formal semantics based on Description Logics (DLs), and since they inherit from modeling languages (like UML) intuitive constructors. Hence, also application scenario where ontologies are proposed as a conceptual view over data repositories, are becoming more and more p...

Representing bioinformatics datatypes using the OntoDT ontology

Data processing is at the heart of science. Hence, the problem of data typing is an important problem that has been addressed from different aspects and in different forms. For example, the Research Data Alliance1 (RDA), whose major goal is to speed up the international data-driven innovation and discovery by facilitating research data sharing and exchange, has identified that the problem of da...

Generic Ontologies and Generic Ontology Design Patterns

Generic Ontologies are introduced in GDOL, an extension of DOL, the Distributed Ontology, Modeling and Specification Language, and implemented using Hets, the Heterogeneous Tool Set framework. Parameters such as classes, properties, individuals, or whole ontologies may be instantiated with arguments in a host ontology. A Generic Ontology Design Pattern, GODP, defined in GDOL, embodies an ontolo...