Isabel Cruz

Learn More
This paper presents a general architecture and four algorithms that use Natural Language Processing for automatic on-tology matching. The proposed approach is purely instance based, i.e., only the instance documents associated with the nodes of ontologies are taken into account. The four algorithms have been evaluated using real world test data, taken from(More)
This report presents our solution to the problem of processing continuous Nearest Neighbor (NN) queries for moving objects trajectories when the exact position of a given object at a particular time instant is not known, but is bounded by an uncertainty region. As has already been observed in the literature, the answers to continuous NN-queries in(More)
Semantic technologies and ontologies play an increasing role in scientific workflow systems and knowledge infrastructures. While ontologies are mostly used for the semantic annotation of metadata, semantic technologies enable searching metadata catalogs beyond simple keywords, with some early evidence of semantics used for data translation. However, the(More)
OBJECTIVE One of the most interesting clinical applications of 18F-FDG PET imaging in neurodegenerative pathologies is that of establishing the prognosis of patients with mild cognitive impairment (MCI), some of whom have a high risk of progressing to Alzheimer's disease (AD). One method of analyzing these images is to perform statistical parametric mapping(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)
  • 1