The sensor tasking problem in sensor networks involves the representation of users’ tasks (user-level tasking) in a form which a sensor network needs to perform required operations (sensor-level tasking) leading to satisfaction of the tasks. We analysed four approaches to task representation (TR) in sensor networks: the Open Geospatial Consortium’s Sensor Web Enablement, Goal Lattices, Semantic...

In scene parsing, the wide-range contextual information is not effectively encoded. Scene parsing provides segmentation and determines an scene into different regions associated with semantic categories. The main objective of scene parsing is to reduce semantic gap between humans and computer machines on scene understanding. The scenes parsing applications are object detection, text detection o...

The structure of people's conceptual knowledge of concrete nouns has traditionally been viewed as hierarchical (Collins & Quillian, 1969). For example, superordinate concepts (vegetable) are assumed to reside at a higher level than basic-level concepts (carrot). A feature-based attractor network with a single layer of semantic features developed representations of both basic-level and superordi...

In this paper we present a data dictionary server for the automated navigation of information sources. The underlying knowledge is represented within a medical data dictionary. The mapping between medical terms and information sources is based on a semantic network. The key aspect of implementing the dictionary server is how to represent the semantic network in a way that is easier to navigate ...