In this paper we present an approach which aims to support learners in general and environmental decision makers in particular, towards effective decision making in maritime environmental pollution via education and awareness of specific maritime environmental pollution policies. We build on previous work concerning the automatic construction of multiple-choice questions from ontologies (automa...

We present a compilation-based approach to reducing the representational distance between application domain experts and AI planning technology. The approach combines a representation designed to match the structure of human expertise in the construction industry with an established planning technique. The design of this representation is derived from a study carried out with experts in the ind...

Though it has been possible in the past to learn to predict DNA hydration patterns from crystallographic data, there is ambiguity in the choice of training data (both in terms of the relevant set of cases and the features needed to represent them), which limits the usefulness of standard learning techniques. Thus, we have developed a knowledge-based system to generate machine learning experimen...

This paper introduces inter-sectoral technology-based linkages (or technological spillovers) in a empirical model of international market share dynamics. The Pavitt taxonomy is applied as a yardstick for interpreting the empirical results. In accordance with the criteria behind the taxonomy, we find upstream linkages to be more important for the determination of market shares in scale intensive...

This paper introduces inter-sectoral technology-based linkages (or technological spillovers) in a empirical model of international market share dynamics. The Pavitt taxonomy is applied as a yardstick for interpreting the empirical results. In accordance with the criteria behind the taxonomy, we find upstream linkages to be more important for the determination of market shares in scale intensive...

Finding the correct hypernyms for entities is essential for taxonomy learning, finegrained entity categorization, knowledge base construction, etc. Due to the flexibility of the Chinese language, it is challenging to identify hypernyms in Chinese accurately. Rather than extracting hypernyms from texts, in this paper, we present a transductive learning approach to establish mappings from entitie...

An objective of this research is to develop a framework for regulation management as well as for comparing regulations from multiple sources. An online repository for regulatory documents is created with the help of text mining tool, and users can access provisions either through the natural hierarchy of regulations or from a concept taxonomy generated by knowledge engineers. Relevant provision...

A text understanding system with learning capabilities is presented. New concepts are acquired by incorporating two kinds of evidence – knowledge about linguistic constructions in which unknown lexical items occur and knowledge about structural patterns in ontologies such that new concept descriptions can be compared with prior knowledge. On the basis of the quality of evidence gathered this wa...

Software is primarily developed for people by people and human factors must be studied in all software engineering phases. Creativity is the source to improvise solutions to problems for dominating complex systems such as software development. However, there is a lack of knowledge in what creativity is in software development and what its dynamics are. This study describes the current state of ...

The objective of this research is to improve and support the process of design knowledge reuse in the architecture, engineering, and construction industry. Whereas internal knowledge reuse (reusing from one’s personal memory or experiences) is very effective, external knowledge reuse (reusing from an external digital or paper archive) often fails. Ethnographic studies of designers at work, perf...