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This paper describes how Korean Government has designed and driven the innovation of undergraduate curriculums to meet increasing industrial demand for quality IT experts in the computer-software field. The computer-software field has been categorized into five specialized areas, tracks. The embedded system software area is one among them. Educational contents (including track curriculums, detailed syllabuses, and class materials) have been designed and constructed for the tracks. First, a curriculum development methodology is described, which is used to develop curriculums in the computer-software field. Next, artifacts for the embedded software system track produced in the process are described. By applying iterative and incremental principles of the methodology, all artifacts will be continuously updated and constantly upgraded as related technologies progress rapidly.

With the proliferation of smart computing equipment, the range of providing highly intelligent services is widely expanding in an attempt to include the present condition of each individual data source. Furthermore, broadly adopted RFID (Radio Frequency Identification) technology has led to the widespread application of automatic identification in numerous pervasive computing services including logistics, emergency control, and medical services. Another remarkable phenomenon is the explosively growing number of smartphone users, which allows them to stay connected to the Internet. The environment created by these factors, increases the need to make a decision out of the current context which can be inferred from various sensors and mobile devices. In response to the growing demand for the need to make a decision in the current context, the new XOnt Agent has been integrated into our collaboration middleware framework, the XCREAM (XLogic Collaborative RFID/USN-Enabled Adaptive Middleware). All the collected information should be examined too see if they meet any condition that triggers correspondent actions of a specific rule through reasoning process of a rule engine. We also suggest the context-aware inference (CAI) model to effectively support the reasoning and handling processes.

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With the rapid growth of network-enabled environment, the range of intelligent application services is widely expanding with continuous attempts to fully utilize highly accurate personal or environmental information. In parallel, a variety of professional knowledge data have been built up and provided to the public in the form of semantically linked ontology files. This phenomenon encourages us to focus on developing more flexible data mixing bowl, where the individual data are used to support their inherent functions and associated with different data to trigger inter-related complex services. This research has been evolved from the existing collaboration framework for a context-aware environment by integrating ontology gateway, the XOnt agent, as its ontologyenabled context-aware knowledge option. The ontology-enabled semantic reasoning scheme includes the XOntology combined with the Context-Aware Inference (CAI) model of the existing collaboration framework. Based on the properties of the ontology and behavioral activities of individual instances of the classes, the XOnt agent semantically evaluates current situation and controls the proposed ontology-enabled collaboration framework.