Generating Natural Language Explanations from Knowledge-Based Systems Results, Using Ontology and Discourses Patterns

2017 ◽  
pp. 223-238
Author(s):  
Víctor Flores ◽  
Yahima Hadfeg ◽  
Claudio Meneses
Keyword(s):  
Natural Language ◽  
Knowledge Based Systems ◽  
Knowledge Based

scholarly journals MLGrafViz: multilingual ontology visualization plug-in for protégé

2021 ◽  
Vol 2 (1) ◽  
pp. 43-48
Author(s):  
Merlin Florrence
Keyword(s):  
Natural Language Processing ◽  
Natural Language ◽  
Language Processing ◽  
Knowledge Based Systems ◽  
Natural Languages ◽  
The Core ◽  
Knowledge Based ◽  
Ontology Visualization ◽  
Language User ◽  
Core Ontology

Natural Language Processing (NLP) is rapidly increasing in all domains of knowledge acquisition to facilitate different language user. It is required to develop knowledge based NLP systems to provide better results.  Knowledge based systems can be implemented using ontologies where ontology is a collection of terms and concepts arranged taxonomically.  The concepts that are visualized graphically are more understandable than in the text form.   In this research paper, new multilingual ontology visualization plug-in MLGrafViz is developed to visualize ontologies in different natural languages. This plug-in is developed for protégé ontology editor. This plug-in allows the user to translate and visualize the core ontology into 135 languages.

Natural language and knowledge-based systems

1984 ◽  
Vol 26 (2) ◽  
pp. 40-42
Author(s):  
Jeremy Clare ◽  
Nick Ostler
Keyword(s):  
Natural Language ◽  
Knowledge Based Systems ◽  
Knowledge Based

Natural language generation in critiquing

1993 ◽  
Vol 8 (4) ◽  
pp. 329-347 ◽  
Author(s):  
Ivan Rankin
Keyword(s):  
Natural Language ◽  
Knowledge Base ◽  
Central Area ◽  
Natural Language Generation ◽  
Knowledge Based Systems ◽  
Consultation Process ◽  
Language Generation ◽  
Knowledge Based ◽  
Area Of Application

A central area of application for knowledge-based systems is for giving consultative advice to the user. Such systems engage the user in a dialogue in the process of collecting enough information to be able to infer a conclusion from the knowledge base. Traditionally, then, the main initiative in the consultation process has been allocated to the system

Book review: Introduction to Knowledge Based Systems

IEE Review ◽  
1988 ◽  
Vol 34 (1) ◽  
pp. 36
Author(s):  
S.H. Lavington
Keyword(s):  
Knowledge Based Systems ◽  
Knowledge Based
Sign in / Sign up

Export Citation Format

Share Document