Towards Self-explanatory Ontology Visualization with Contextual Verbalization

07/06/2016
by   Renars Liepins, et al.
0

Ontologies are one of the core foundations of the Semantic Web. To participate in Semantic Web projects, domain experts need to be able to understand the ontologies involved. Visual notations can provide an overview of the ontology and help users to understand the connections among entities. However, the users first need to learn the visual notation before they can interpret it correctly. Controlled natural language representation would be readable right away and might be preferred in case of complex axioms, however, the structure of the ontology would remain less apparent. We propose to combine ontology visualizations with contextual ontology verbalizations of selected ontology (diagram) elements, displaying controlled natural language (CNL) explanations of OWL axioms corresponding to the selected visual notation elements. Thus, the domain experts will benefit from both the high-level overview provided by the graphical notation and the detailed textual explanations of particular elements in the diagram.

READ FULL TEXT
research
02/21/2019

WebProtégé: A Cloud-Based Ontology Editor

We present the WebProtégé application to develop ontologies represented ...
research
11/12/2014

Membership Function Assignment for Elements of Single OWL Ontology

This paper develops the idea of membership function assignment for OWL (...
research
10/11/2018

Measuring Expert Performance at Manually Classifying Domain Entities under Upper Ontology Classes

Classifying entities in domain ontologies under upper ontology classes i...
research
07/24/2016

Redundancy-free Verbalization of Individuals for Ontology Validation

We investigate the problem of verbalizing Web Ontology Language (OWL) ax...
research
04/24/2012

ILexicOn: toward an ECD-compliant interlingual lexical ontology described with semantic web formalisms

We are interested in bridging the world of natural language and the worl...
research
05/25/2018

SOSA: A Lightweight Ontology for Sensors, Observations, Samples, and Actuators

The Sensor, Observation, Sample, and Actuator (SOSA) ontology provides a...
research
06/08/2011

Towards OWL-based Knowledge Representation in Petrology

This paper presents our work on development of OWL-driven systems for fo...

Please sign up or login with your details

Forgot password? Click here to reset