The shift toward global networking brings with it many opportunities and challenges. In this paper, we discuss key technologies in achieving global semantic interoperability among heterogeneous information systems, including both traditional and Web data sources. In particular, we focus on the importance of this capability and the technologies we have designed to overcome ontological heterogene...

Semantic cognition is central to understanding of language and the world and, unlike many cognitive domains, is thought to show little age-related decline. We investigated age-related differences in the neural basis of this critical cognitive domain by performing an activation likelihood estimation (ALE) meta-analysis of functional neuroimaging studies comparing young and older people. On avera...

A paradigm shift is emerging in system reliability and maintainability. The military and industrial sectors are moving away from the traditional breakdown and scheduled maintenance and adopting concepts referred to as Condition Based Maintenance. In addition to signal processing and subsequent diagnostic and prognostic algorithms these new technologies require storage of large volumes of both q...

Geographic Object-Based Image Analysis (GEOBIA) techniques have become increasingly popular in recent years and are able to incorporate and develop ontology model within the classification process. They have been claimed to represent a paradigm shift in remote sensing interpretation. Nevertheless, it is lack of formal expression and objective modelling of the whole process of GEOBIA, and lack o...

The shift towards global networking brings with it many opportunities and challenges. In this paper, we discuss key technologies in achieving global semantic interoperability among heterogeneous information systems, including both traditional and web data sources. In particular, we focus on the importance of this capability and technologies we have designed to overcome ontological heterogeneity...

Computational biology is on the verge of a paradigm shift in its research practice – from a data-based (computational) paradigm to an information-based (cognitive) paradigm. As in the other research fields, this transition is impeded by lack of a right understanding about what is actually hidden behind the term “information”. The paper is intended to clarify this issue and introduces two new no...

We present a knowledge and context-based system for parsing and translating natural language and evaluate it on sentences from the Wall Street Journal. Applying machine learning techniques, the system uses parse action examples acquired under supervision to generate a determinis-tic shift-reduce parser in the form of a decision structure. It relies heavily on context , as encoded in features wh...

Although the f-structures of LFG look like an intuitively clear representation of many aspects of meaning, it has seemed somewhat harder than one might expect to connect them to conventional logical forms, over which entailment and other semantic properties and relations can be defined by standard methods. In this talk I will present what I believe to be a relatively easy formulation of the 'gl...

We present a knowledge and context-based system for parsing and translating natural language and evaluate it on sentences from the Wall Street Journal. Applying machine learning techniques, the system uses parse action examples acquired under supervision to generate a deterministic shift-reduce parser in the form of a decision structure. It relies heavily on context, as encoded in features whic...

In this paper, we describe a multi-modal approach to segmenting news video based on the perceived shift in content. We divide up a video document into logically coherent semantic units known as stories. We investigate the effectiveness of a number of multimedia features which serve as potential indicators of a story boundary. The results show an improvement of performance over current state of ...