Semantic Information Representation and Ontologies

The primary goal of this project is to design, develop, deploy, and test methodologies for exploiting semantic aspects of the data. Toward this end, we have developed an information system based on ontologies (collections of key concepts and terms along with their interrelationships) to provide intelligent information selection. The main capabilities of the system include modeling the meaning of the data, and performing mining operations from information streams.

A second aspect of this project has been focused on intelligent information presentation by utilizing abstractions of narrative story, which is referred to as story models. Story models define how content should be combined and formed. By selecting the best story model for a user's request, we can deliver a customized story by combining information content that matched their question according to the specifications of story models. Since story models can include multimedia data as well as text articles, exploiting story models will enable creation of dynamic multimedia presentations.

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