In text management tasks, the dimensionality reduction becomes necessary to computation and interpretability of the results generated by machine learning algorithms. This paper describes a feature extraction method called semantic mapping. Semantic mapping, sparse random mapping and PCA are applied to self-organization of document collections using self-organizing map (SOM). The behaviors of th...

We describe a novel dialogue strategy enabling robust interaction under noisy environments where automatic speech recognition (ASR) results are not necessarily reliable. We have developed a method that exploits utterance timing together with ASR results to interpret user intention, that is, to identify one item that a user wants to indicate from system enumeration. The timing of utterances cont...

The geospatial domain is influenced by the Web developments; consequently, an increasing number of geospatial web services become available through Internet. A rich description of geospatial web services is required to resolve semantic heterogeneity and achieve semantic interoperability of geospatial web services. However, existing geospatial web services descriptions and semantic mapping appro...

A Knowledge Based Network is a type of ontological content based network. As Knowledge Based Networks scale, semantic interoperability becomes an important issue since larger populations of users result in more heterogeneity in the content of messages. This paper examines the content heterogeneity problem in a KBN and proposes a mapping service scheme for distributed and heterogeneous knowledge...

In model-driven software development, it is a key technology that transform from platform independent models at higher abstract level to platform specific models at a lower level. The approach to create mapping rules is profoundly impacted with the gap between the source model and the target model. By abstractly analyzing the characteristic of syntax and semantics of modeling languages, an appr...

Lexical ontologies are one of the main resources for developing natural language processing and semantic web applications. Mapping lexical ontologies of different languages is very important for inter-lingual tasks. On the other hand mapping approaches can be implied to build lexical ontologies for a new language based on pre-existing resources of other languages. In this paper we propose a sem...

During the last years approaches to ”interactive mapping” or ”Human Augmented Mapping” with and for service robots have become of increasing interest both for robotic mapping methods and for the investigation of Human Robot Interaction. The underlying idea is to take a robot on a guided tour and explain the surroundings to it. This guided tour rises questions both regarding the technological de...

This research employs a nondestructive, rapid, high accuracy and full-field material characterization platform which integrates quantitative laser ultrasound visualization system (QLUVS) with mechanical property mapping reconstruction algorithm. The QLUVS uses a pulsed laser generate acoustic waves with fast scanning mechanical to research two dimensional scanning goal and then detected with a ...

This study is aimed at understanding how multiple perspectives of stakeholders are incorporated in the formulation of security policy. The research was guided by the Theory of Semantics. A framework was created from established semantic theory. Guided by the framework, a case study was carried out at a large state University. The point of the case study was to provide insight into security poli...