WYSIWYM (interaction technique)

What you see is what you meant (WYSIWYM) is a text editing interaction technique that emerged from two projects at University of Brighton. It allows users to create abstract knowledge representations such as those required by the Semantic Web using a natural language interface. Natural language understanding (NLU) technology is not employed. Instead, natural language generation (NLG) is used in a highly interactive manner.

The text editor accepts repeated refinement of a selected span of text as it becomes progressively less vacuous of authored semantics. Using a mouse, a text property held in the evolving text can be further refined by a set of options derived by NLG from a built-in ontology. An invisible representation of the semantic knowledge is created which can be used for multilingual document generation, formal knowledge formation, or any other task that requires formally specified information.^[1]

The two projects at Brighton worked in the field of Conceptual Authoring to lay a foundation for further research and development of a Semantic Web Authoring Tool (SWAT). This tool has been further explored as a means for developing a knowledge base by those without prior experience with Controlled Natural Language tools.^[2]

References

^ Nguyen, Tu (2013). "Generating Natural Language Explanations For Entailments In Ontologies" (PDF). Open Research Online. The Open University. Retrieved 10 November 2014.
^ Williams, Sandra (13 June 2014). "How easy is it to learn a controlled natural language for building a knowledge base?". Fourth Workshop on Controlled Natural Language, 20–22 August 2014, Galway, Ireland (Forthcoming), Springer International Publishing AG. 8625: 20–32. arXiv:1406.2204. ISBN 9783319102221. Retrieved 10 November 2014.

External links

Nguyen, Tu (2013). Generating Natural Language Explanations For Entailments In Ontologies. PhD thesis The Open University.
Conceptual Authoring at Natural Language Generation group of the Open University
SWAT: Semantic Web Authoring Tool research project
WYSIWYM home page

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[1] Nguyen, Tu (2013). "Generating Natural Language Explanations For Entailments In Ontologies" (PDF). Open Research Online. The Open University. Retrieved 10 November 2014.

[2] Williams, Sandra (13 June 2014). "How easy is it to learn a controlled natural language for building a knowledge base?". Fourth Workshop on Controlled Natural Language, 20–22 August 2014, Galway, Ireland (Forthcoming), Springer International Publishing AG. 8625: 20–32. arXiv:1406.2204. ISBN 9783319102221. Retrieved 10 November 2014.

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