Semantic Annotation of Mobile Data for Language Access

Mobile devices both host and collect significant amount of data that could be interesting to users. To make this data easily accessible, it has to be stored in semantic repositories using a well-defined ontology. Relationships between data from various sources should be explicit. Natural language interface to such data is an attractive option for information access. However, there are semantic gaps between the data repositories and the formal representation of meaning produced by language understanding systems. This paper describes a solution to the issues above. We have implemented a system that converts the mobile data into RDF format and annotates it with information necessary for efficient access via natural language. We have designed and implemented Natural Query system that automates the interface of natural language system and the semantic data repository. Language tags are used to map between the natural language meaning representation and the repository elements. Repository graph search is used to discover the knowledge about the repository structure