Aspect-Oriented Visual Ontology Editor (AVOnEd): Visual Language, Aspect-Oriented Editing Concept and Implementation
Autor: | Luisa Brinkschulte, Lena Gesterkamp, Stefan Hartmann, Jonas Rebstadt, Arkadij Enders, Niklas Kewitz, Florian Hallay, Robert Mertens |
---|---|
Rok vydání: | 2017 |
Předmět: |
Linguistics and Language
Information retrieval Knowledge representation and reasoning Computer Networks and Communications Computer science Aspect-oriented programming 02 engineering and technology Ontology (information science) Computer Science Applications Visual language Artificial Intelligence 020204 information systems 0202 electrical engineering electronic engineering information engineering Ontology editor 020201 artificial intelligence & image processing Software system Aspect orientation Software Information Systems |
Zdroj: | International Journal of Semantic Computing. 11:229-274 |
ISSN: | 1793-7108 1793-351X |
DOI: | 10.1142/s1793351x17500027 |
Popis: | When it comes to design and editing, complex ontologies have much in common with large and complex software systems. The ontology editor presented in this article adapts two solution approaches from software engineering to the task of ontology editing following the rationale that similar problems can be tackled with similar solutions. The first of the approaches is aspect orientation which allows to look at a problem from different perspectives and editing each perspective separately even with different names for one and the same entity. The article describes this approach’s theoretical foundations as well as the data model required for its implementation. The second approach is an auto-completion-like feature that checks whether editing steps on the ABox level are consistent with rules modeled on the TBox level and the ontology in general. The editor also features a visual language that is designed to facilitate editing OWL Lite based ontologies. |
Databáze: | OpenAIRE |
Externí odkaz: |