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Interactive Semantic Feedback for Intuitive Ontology Authoring
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The complexity of ontology authoring and the difficulty to master the use of existing ontology authoring tools, put significant constraints on the involvement of both domain experts and knowledge engineers in ontology authoring. This often requires substantial effort for fixing ontologies defects (e.g. inconsistency, unsatisfiability, missing or unintended implications, redundancy, isolated entities). The paper argues that ontology authoring tools should provide immediate semantic feedback upon entering ontological constructs. We present a framework to analyse input axioms and provide meaningful feedback at a semantic level. The framework has been used to augment an existing Controlled Natural Language-based ontology authoring tool – ROO. An experimental study with ROO has been conducted to examine users' reactions to the semantic feedback and the effect on their ontology authoring behaviour. The study strongly supported responsive intuitive ontology authoring tools, and identified future directions to extend and integrate semantic feedback.
Title: Interactive Semantic Feedback for Intuitive Ontology Authoring
Description:
The complexity of ontology authoring and the difficulty to master the use of existing ontology authoring tools, put significant constraints on the involvement of both domain experts and knowledge engineers in ontology authoring.
This often requires substantial effort for fixing ontologies defects (e.
g.
inconsistency, unsatisfiability, missing or unintended implications, redundancy, isolated entities).
The paper argues that ontology authoring tools should provide immediate semantic feedback upon entering ontological constructs.
We present a framework to analyse input axioms and provide meaningful feedback at a semantic level.
The framework has been used to augment an existing Controlled Natural Language-based ontology authoring tool – ROO.
An experimental study with ROO has been conducted to examine users' reactions to the semantic feedback and the effect on their ontology authoring behaviour.
The study strongly supported responsive intuitive ontology authoring tools, and identified future directions to extend and integrate semantic feedback.
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