Ontology-based modelling is becoming increasingly important in the design of complex knowledge management applications. However, many problems related to large-scale ontology development, deployment and collaborative maintenance of related metadata still remain to be solved. Making online modifications to an ontology whose concepts are simultaneously being used for metadata generation may poten...

Although vast amounts of information are available electronically today, no effective information access mechanism exists to provide humans with convenient information access. A general, open-domain question answering system is a solution to this problem. We propose an architecture for a collaborative question answering system that contains four primary components: an annotations system for sto...

There is a growing need for efficient and scalable semantic web queries that handle inference. There is also a growing interest in representing uncertainty in semantic web knowledge bases. In this paper, we present a bit vector schema specifically designed for RDF (Resource Description Framework) datasets. We propose a system for materializing and storing inferred knowledge using this schema. W...

Argumentation Mark-up Languages have been formulated for exporting and storing argumentation knowledge described by use of argument editing and visualisation tools. These tools enable user structuring of arguments through diagramatic linkage of natural language sentences. Recent work has focussed on implementations of formal logical models of argument inference, and argumentation based decision...

Biomedical literature, including scientific articles, public health reports and books become more and more available due to massive digitalization. Exploration and analysis of this rich source of data requires assistance of automatic tools capable of dealing with large volumes of text. We are developing a pipeline for processing publicly available biomedical text, abstracts, full text articles,...

In this paper we present an optical approach for managing an index to a very large data/knowledge base. Specifically, our research is focused on optical content addressable memories (OCAM) based on holographic principles. OCAMs offer advantages over conventional CAMs in managing a large index, because OCAMs offer a considerably larger storage~ capacity (1O8~1Ob0 bytes) and parallel output. With...

With the Ontology Web Language there now exists a semantic web language for knowledge representation on the Web. Although there are some application programming interfaces and tools for OWL available, a framework for parsing, storing, querying, manipulating, serving and serializing OWL knowledge bases in a collaborative web enabled environment for the most distributed web application platform (...

This article describes a real-world semantic information retrieval tool for automotive diagnosis. Troubleshooting documents have always been popular within car workshops / manufacturers as a simple and direct way to capitalize knowledge on the one hand and to access repair information on the other hand. However, with more and more complex vehicle architectures, troubleshooting bases have grown ...

In the field of science, process is made through the publication or scientific articles. The large number of articles available in digital libraries poses a problem for users to quickly find what they are looking for. In this article, I suggest a logic-based knowledge representation for storing articles. This knowledge representation allows for the searching of articles using various methods. A...