G. Grieser and Y. Tanaka (Eds.): Intuitive Human Interface 2004, LNAI 3359, pp. 201214, 2004.

This paper describes a novel intellectual structure for the subject space of material designed for selective autodidactic learning in a large knowledge base. This structure is based on a systematic theory-driven connection of categorical and factual knowledge. It is further based on the idea, that relevant subjects in such a system should be propositions, represented as categorical relationship

P. Brusilovsky, O. Stock, C. Strapparava (Eds.): AH 2000, LNCS 1892, pp. 289-292, 2000.

The ultimate aim of our research is a free, evolutionary, Internet- based, agent-based, long-distance teaching environment for academic English

W. Fan, Z. Wu, and J. Yang (Eds.): WAIM 2005, LNCS 3739, pp. 834 -- 839, 2005.

Monitoring the real-time status of voluntary nodes is a basic task of Quality of Services (QoS) management in grid. The heterogeneity of distributed host resources is an obvious obstacle of grid resources monitoring. An ontology -based approach is presented in this paper to help monitor host resources, focusing on integrating and sharing the status information of grid resources

M. Hazas, J. Krumm, and T. Strang (Eds.): LoCA 2006, LNCS 3987, pp. 222 -- 238, 2006.

We describe an application used to share context and build common ground between nearby users. Our application runs on mobile devices and allows users securely to exchange the contents of their address books. This exchange reveals only which entries are common to the two users. We explore the use of our application using both Bluetooth and NFC as an underlying technology. Finally, we present the results of a small user study we have conducted

M.Gh. Negoita et al. (Eds.): KES 2004, LNAI 3213, pp. 630 636, 2004.

The rapid growth of communication technologies and the invention of set-top-box (STB) and personal digital recorder (PDR) have enabled today's television to receive and store tremendous programs. The abundance of TV programs precipitates a need for personalization tools to help people obtain programs that they really want to watch. User preference learning plays an important role in TV program personalization. In this paper, we introduce a hybrid user preference learning approach for TV program personalization. The learning architecture is designed to integrate multiple learning sources for preference learning, which are explicit input/modification, user viewing history, and user real-time feedback. Among those, learning from user viewing history and learning from user real-time feedback are described in detail. The experimental results proved that the hybrid learning approach outperforms the learning method merely adopting user real-time feedback

Robert H. Deng et al. (Eds.): ISPEC 2005, LNCS 3439, pp. 1 -- 12, 2005.

Threats for today's production networks range from fully automated worms and viruses to targeted, highly sophisticated multi-phase attacks carried out manually. In order to properly define and dimension appropriate security architectures and policies for a network, the possible threats have to be identified and assessed both in terms of their impact on the resources to be protected and with respect to the probability and frequency of related attacks