CREAM: creating relational metadata with a component-based, ontology-driven annotation framework
Proceedings of the 1st international conference on Knowledge capture
Menu-based natural language understanding
ACL '83 Proceedings of the 21st annual meeting on Association for Computational Linguistics
Generic querying of relational databases using natural language generation techniques
INLG '06 Proceedings of the Fourth International Natural Language Generation Conference
A controlled natural language layer for the semantic web
AI'05 Proceedings of the 18th Australian Joint conference on Advances in Artificial Intelligence
GINO – a guided input natural language ontology editor
ISWC'06 Proceedings of the 5th international conference on The Semantic Web
Generating tailored textual summaries from ontologies
ESWC'05 Proceedings of the Second European conference on The Semantic Web: research and Applications
Towards a generation-based semantic web authoring tool
ENLG '09 Proceedings of the 12th European Workshop on Natural Language Generation
Evaluating an ontology-driven WYSIWYM interface
INLG '08 Proceedings of the Fifth International Natural Language Generation Conference
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Central to the vision of the Semantic Grid is the adoption of metadata and ontologies to describe resources, to promote and enhance collaboration (De Roure et al., 2005). This raises the question of how such metadata comes into existence. Ideally the users should create it themselves, which raises the issue of how a scientist should create RDF. In our work in the area of e-social science, we aim to support social scientists in their research, using (Semantic) Grid technologies. For this, a tool is needed that facilitates easy creation of RDF by non-experts, to enable researchers to deposit and describe their own data. We believe that, for social scientists, natural language is the best medium to use, as the way they conduct their research and the structure of their documents and data indicate that they are more oriented towards text than graphics.