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This paper presents an approach for representing queries in natural language as semantic networks. The semantic representation is intended to facilitate the translation between natural language and database queries. A domain agnostic algorithm, based on shallow features, is used to map a sentence to a sub-network of concepts within a larger ontology. This(More)
This paper introduces the problem of modeling urban transportation systems in a database where certain aspects of the data are probabilistic in nature. The transportation network is composed of multiple modes (e.g., automobile, bus, train, pedestrian) that the user can alternate between. A trip -- a path between an origin and destination subject to some(More)
In this paper we discuss a method for understanding ambiguous language in natural language interfaces for mobile devices. We approach the problem by modeling the user and system with semantic web ontologies that are informed by a context-aware computing platform. The semantic model is then used to interpret ambiguous language based on the user's real-world(More)
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