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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)
Construction schedules exist in many forms to serve many purposes. They are prepared by various means by different individuals either manually or aided by computer software. Work which is underway to automate the production of schedules is now being supplemented by the development of an evaluation package for general usage. Outlined in this paper are(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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