An evaluation framework for controlled natural languages

Authors:
Tobias Kuhn
Affiliations:
Department of Informatics & Institute of Computational Linguistics, University of Zurich, Switzerland
Venue:
CNL'09 Proceedings of the 2009 conference on Controlled natural language
Year:
2009

Citing 7
Cited 5

The symbol grounding problem

CNLS '89 Proceedings of the ninth annual international conference of the Center for Nonlinear Studies on Self-organizing, Collective, and Cooperative Phenomena in Natural and Artificial Computing Networks on Emergent computation
Knowledge representation: logical, philosophical and computational foundations

Knowledge representation: logical, philosophical and computational foundations
Composing Questions through Conceptual Authoring

Computational Linguistics
Attempto Controlled English for Knowledge Representation

Reasoning Web
CLOnE: controlled language for ontology editing

ISWC'07/ASWC'07 Proceedings of the 6th international The semantic web and 2nd Asian conference on Asian semantic web conference
Rabbit: developing a control natural language for authoring ontologies

ESWC'08 Proceedings of the 5th European semantic web conference on The semantic web: research and applications
GINO – a guided input natural language ontology editor

ISWC'06 Proceedings of the 5th international conference on The Semantic Web

Evaluating the usability of natural language query languages and interfaces to Semantic Web knowledge bases

Web Semantics: Science, Services and Agents on the World Wide Web
Levels of organisation in ontology verbalisation

ENLG '11 Proceedings of the 13th European Workshop on Natural Language Generation
Engineering a controlled natural language into semantic mediawiki

CNL'10 Proceedings of the Second international conference on Controlled Natural Language
Towards Controlled Natural Language for Semantic Annotation

International Journal on Semantic Web & Information Systems
The understandability of OWL statements in controlled English

Semantic Web - Linked Data for science and education

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper presents a general framework called ontographs that relies on a graphical notation and enables the tool-independent and reliable evaluation of human understandability of knowledge representation languages. An experiment with 64 participants is presented that applies this framework and compares a controlled natural language to a common formal language. The results show that the controlled natural language is easier to understand, needs less learning time, and is more accepted by its users.