Ontology Editing System

AKA: Ontology Modeling System, Ontology Editor, Ontology Editor System, Ontology Design System.
Context:
- It can support more than one Ontology Language.
- It usually consists fo the following subsystems:
  - an Ontology Learning System,
  - an Ontology Management System,
  - an Ontology Validation System.
- It can (often) interface with an Ontology System.
- ...
Example(s):
Counter-Example(s):
- a Ontology Population System,
- a Sentiment Analysis System,
- an Opinion Mining System,
- a Data Model Design System,
- a Knowledge Base Design System.
See: Ontology, Natural Language Processing Task, Knowledge Base, Database, Annotated Text Corpus, Semanti Web.

References

(Wikipedia, 2019) ⇒ https://en.wikipedia.org/wiki/Ontology_engineering Retrieved:2019-6-30.
- Ontology engineering in computer science, information science and systems engineering is a field which studies the methods and methodologies for building ontologies: formal representations of a set of concepts within a domain and the relationships between those concepts.
  A large-scale representation of abstract concepts such as actions, time, physical objects and beliefs would be an example of ontological engineering. ^[1] Ontology engineering is one of the areas of applied ontology, and can be seen as an application of philosophical ontology. Core ideas and objectives of ontology engineering are also central in conceptual modeling.

(Wikipedia, 2011) ⇒ http://en.wikipedia.org/wiki/Ontology_editor
- Ontology editors are applications designed to assist in the creation or manipulation of ontologies. They often express ontologies in one of many ontology languages. Some provide export to other ontology languages however. … Among the most relevant criteria for choosing an ontology editor are the degree to which the editor abstracts from the actual ontology representation language used for persistence and the visual navigation possibilities within the knowledge model. Next come built-in inference engines and information extraction facilities, and the support of upper ontologies such as OWL-S, Dublin Core, etc. Another important feature is the ability to import & export foreign knowledge representation languages for ontology matching.