We have been constructing the Linked Open Rare Disease Data (LORDD) by linking rare disease data using Linked Open Data technologies. One of preliminary LORDD services is to present trends of rare disease studies based on published papers. Here we show a use case of the LORDD service for archiving cooperative studies among patients, reseachers, doctors, drug firms and governments.

Various metadata are embedded in a HTML Document. However, most of those metadata don't have explicit metadata schema. This paper proposes a model to support interpretation of embedded metadata without formal schema by linking a metadata instance to DCMI Description Set Profiles (DSP). An XPath expression addresses a metadata instance encoded in HTML, and DSP define metadata schema. We propose extending DSP to include XPath for linking a metadata instance to a metadata schema.

Recently, the research in intelligent educational systems has much interest in exploring data from educational settings to understand learners behavior and mental states. To further un- derstand learners based on such the data and sophisticate supportive interventions by educational systems, knowledge of relationships between learners' behavior and mental states must be shared. To propose an framework to share the knowledge, this study attempted ontological descriptions for learners eye-movement and mental states in solving computer-based multiple-choice problems. The current study forms a technical basis for development of an IMS(Intelligent Mentoring System) in which an automatic mentoring function is implemented with ITS(Intelligent Tutoring System).

Computational simulations are expected to play an important role in understanding of unspecified factors in biological phenomena. To implement computational simulations in biology, therefore, construction, knowledge in biological phenomena is accumulated as qualitative descriptions in natural languages on literature. Construction of ontologies is adapted to translate such literature knowledge into knowledge representation available for computers. Simulations are indispensable in revealing new factors in a phenomenon which haven 't been empirically observed yet. Ontologies focusing on functions enable such simulations to verify new factors assumed to be. In this study, we classified functions hierarchically to build an ontology for a signal transduction of programmed cell death. We then constructed an ontology about molecule behaviors and systems in apoptosis, which is one type of programmed cell deaths, based on these hierarchical functions. We also discussed a method to identify unknown molecules by comparing their structures.

To support nurses learn process of nursing care, the authors propose a representation model of human action as CHARM: Convincing Human Action Rationalized Model. CHARM gives users rationale of their action therefore convinces them to act. For this reason, CHARM supports sharing and inheriting the knowledge of various processes in the medical domain. The authors developed nursing care process models according to manuals which are actually used in Nursing Department of Miki City Hospital, under the close supervise by the trainer of the nurses. The authors also developed CHARM Pad, a prototype system to browse the CHARM on the tablet type PC. We plan to introduce the prototype system to support nurses learning the care process in two hospitals in 2012.