Haystack: per-user information environments
Proceedings of the eighth international conference on Information and knowledge management
RQL: a declarative query language for RDF
Proceedings of the 11th international conference on World Wide Web
IEEE Intelligent Systems
Omnibase: Uniform Access to Heterogeneous Data for Question Answering
NLDB '02 Proceedings of the 6th International Conference on Applications of Natural Language to Information Systems-Revised Papers
Exploiting lexical regularities in designing natural language systems
COLING '88 Proceedings of the 12th conference on Computational linguistics - Volume 1
Gathering knowledge for a question answering system from heterogeneous information sources
HLTKM '01 Proceedings of the workshop on Human Language Technology and Knowledge Management - Volume 2001
Omnibase: Uniform Access to Heterogeneous Data for Question Answering
NLDB '02 Proceedings of the 6th International Conference on Applications of Natural Language to Information Systems-Revised Papers
Facilitate knowledge communications
MMDB '03 Proceedings of the 1st ACM international workshop on Multimedia databases
Better public policy through natural language information access
dg.o '03 Proceedings of the 2003 annual national conference on Digital government research
Web-Annotations for Humans and Machines
ESWC '07 Proceedings of the 4th European conference on The Semantic Web: Research and Applications
From web directories to ontologies: natural language processing challenges
ISWC'07/ASWC'07 Proceedings of the 6th international The semantic web and 2nd Asian conference on Asian semantic web conference
APCCM '09 Proceedings of the Sixth Asia-Pacific Conference on Conceptual Modeling - Volume 96
FIDJI: using syntax for validating answers in multiple documents
Information Retrieval
Versatile question answering systems: seeing in synthesis
International Journal of Intelligent Information and Database Systems
Ontology aided query expansion for retrieving relevant texts
AWIC'05 Proceedings of the Third international conference on Advances in Web Intelligence
Resolving ambiguities in the semantic interpretation of natural language questions
IDEAL'06 Proceedings of the 7th international conference on Intelligent Data Engineering and Automated Learning
Dialogue: driven information retrieval
FDIA'09 Proceedings of the Third BCS-IRSG conference on Future Directions in Information Access
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Because the ultimate purpose of the Semantic Web is to help users better locate, organize, and process content, we believe that it should be grounded in the information access method humans are most comfortable with---natural language. However, the Resource Description Framework (RDF), the foundation of the Semantic Web, was designed to be easily processed by computers, not humans. To render RDF more friendly to humans, we propose to augment it with natural language annotations, or metadata written in everyday language. We argue that natural language annotations, parsed into computer-readable representations, are not only intuitive and effective, but can also accelerate the pace with which the Semantic Web is being adopted. We believe that our technology can facilitate a happy marriage between natural language technology and the Semantic Web vision.