Ontology Editing System
An ontology editing system is an artifact editing system that can solve an Ontology Engineering Task.
- 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:
- It can (often) interface with an Ontology System.
- ...
- Example(s):
- Protege System.
- Text-To-Onto System.
- Text2Onto System.
- Yago System.
- Cogiant System/CoGUI System.
- factmodels.org.
- Chimaera System - http://www.ksl.stanford.edu/software/chimaera
- ICOM System.
- TopBraid Composer - http://www.topquadrant.com/products/TB_Composer.html
- OntoWiki System,
- Developing Ontology-Grounded Methods and Applications (DOGMA) System,
- DogmaModeler System.
- Karlsruhe Ontology (KAON) System.
- OntoClean System.
- HOZO System.
- Gra.fo (http://gra.fo)
- TopBraid EDG.
- Human-centered Collaborative Ontology Engineering Methodology (HCOME) Systen (http://semanticweb.org/wiki/SharedHCONE.html).
- …
- Counter-Example(s):
- See: Ontology, Natural Language Processing Task, Knowledge Base, Database, Annotated Text Corpus, Semanti Web.
References
2019
- (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.
- 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.
2011
- (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.
- 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.
2004
- (Navigli & Velardi, 2004) ⇒ Roberto Navigli, Paola Velardi. (2004). “Learning Domain Ontologies from Document Warehouses and Dedicated Web Sites.” In: Computational Linguistics, 50. doi:10.1162/089120104323093276
- QUOTE: Figure 2 reports the proposed ontology-engineering method, that is, the sequence of steps and the intermediate outputs that are produced in building a domain ontology. As shown in the figure, ontology engineering is an iterative process involving concept learning (OntoLearn), machine-supported concept validation (ConSys), and management (SymOntoX).
Figure 2: The ontology-engineering chain.
- QUOTE: Figure 2 reports the proposed ontology-engineering method, that is, the sequence of steps and the intermediate outputs that are produced in building a domain ontology. As shown in the figure, ontology engineering is an iterative process involving concept learning (OntoLearn), machine-supported concept validation (ConSys), and management (SymOntoX).
2003
- (Corcho et al., 2003) ⇒ Oscar Corcho, Mariano Fernández-López, and Asunción Gómez-Pérez. (2003). “Methodologies, Tools and Languages for Building Ontologies. Where is their meeting point?.” In: Data & Knowledge Engineering Journal, 46(1). doi:10.1016/S0169-023X(02)00195-7