Considerations regarding Ontology Design Patterns

Semantics all the way down: the Semantic Web and open science in big earth data

“…Moreover, it is difficult to get an overview of a large domain ontology, leaving ontology engineers unsure of the effects of changes or extensions (Blomqvist, Hammar, & Presutti, 2016). The emerging Ontology Design Pattern (ODP) methodology advocates for a set of partial ontologies, each of which formalizes only one key notion (Blomqvist, Hitzler et al, 2016). ODPs come in many different types that can be reused and applied in many different ways (Blomqvist, Hammar et al, 2016).…”

$$[MS]^2O$$ – A Multi-scale and Multi-step Ontology for Transformation Processes: Application to Micro-Organisms

“…Different Ontology Design Patterns (ODP) 4 exist as for example the ODP for material transformation [13] or the ODP for life cycle assessment data [9]. As disscused in [3], ODPs bring a promise of compositional modeling and true ontology reuse, but many barriers to their adoption still remain.…”

“…An ontology is designed to represent the knowledge from a domain in terms of concepts, relations between these concepts and instances of these concepts [8]. Building networks of interconnected ontologies [5] and publishing ontologies on the Linked Open Data (LOD) cloud 3 should facilitate data integration and data sharing, such as giving access to data from specific disciplines or data produced within specific geographic regions [2]. However, domain ontologies are built for a specific task and it is not easy to reuse them for a different one.…”

Editorial

“…The model is conveyed as an ontology design pattern, i.e. as a type of reusable module for ontology engineering [1].The second paper in this issue, A Fine-Grained Evaluation of SPARQL Endpoint Federation Systems …”

“…The model is conveyed as an ontology design pattern, i.e. as a type of reusable module for ontology engineering [1].…”