The Capish Ontology is a cornerstone in Capish Reflect. The ontology-aware systems at Capish allow you to concentrate on what is important for you and your organization – without having to think about terminologies, queries, programming, table creations, joins and other technical issues.
Having all data and metadata expressed in the same standard facilitates their simultaneous processing and gives you full access to both.
Ontologies provide a way to describe data, by using for example controlled vocabularies, reasoning rules and relations between concepts. An ontology is a formal representation of a knowledge domain, describing its entities – like events and processes – as well as the relationships connecting these entities.
Ontologies are not static, instead they can evolve as our understanding of a particular topic evolves.
The Capish Ontology is meant to be readily understood by humans – therefore, information is structured in accordance with the concepts used within the respective knowledge discipline being described. These concepts provide the fundament when creating the Capish Holons.
The Capish Ontology also facilitates automatic processing of the Information Graph – supporting the well-defined semantic framework needed by the different tools. One of the benefits of using ontologies is to provide enough metadata for a user to understand the variables and know how they could be analyzed – both now and in the future.
Data integration and reuse is often impeded by poorly annotated datasets, and analysis of data from different sources often requires extensive manual curation. Matching the Information Graph with the Capish Ontology saves time, since data is properly modelled and annotated directly – so curation does not need to be repeated for each analysis purpose.