FACE – A Knowledge-Intensive Case-Based Architecture for Context-Aware Services

U-Learning Within A Context-Aware Multiagent Environment

“…For example, for a traveller being in a given area, the system may suggest several locations to go to (and actions to execute to reach them): a restaurant to dine at, a museum or memorial house to visit etc. Moreover, if a user is interested in something in particular, like haunted castles, and s/he is located near such a place, and s/he can reach it within a reasonable time frame (having time to get back before dark), the system could show the tasks to be executed to guide her to reach that place [38]. The system has the ability to help also in a scenario that takes place in a remote region, in which the fuel is going down rapidly -ePH shows on the car's GPS-based device where the nearest gas station is.…”

“…Some experimental results are also available [38,39]. Currently, we are working on the CBR reasoner, the knowledge base and the context middleware.…”

“…We have called this architecture "FACE" to emphasize our aspirations to provide a knowledgeintensive reasoning process that is inspired by the way in which humans solve problems. A more detailed description of FACE can be found in [38].…”

“…Throughout this work we have considered the context definition from [26]: context is a set of suitable environmental states and settings that concern a user, which are relevant for a situation-sensitive application during the process of adapting the services and the information that is offered to the user. Once the current context changes, the new context activates the Multi-Agent Sub-system, which contains various agents that deal with the context, the CBR process, the task facilitation and decomposition, and the application-specific undertakings [38]. These agents will be described in more detail in Section V. As the digital library, ePH-DLib, can be used both on-and off-line with ePH, it is not seen as strongly connected within this architecture.…”

“…The current stage of the project is as follows: the geospatial engine unde.ro provides the basic ePH functionality [15], the car device is in current use, and the vital cores of both the CS and the LS are functional as well. Some experimental results are also available [38,39]. Currently, we are working on the CBR reasoner, the knowledge base and the context middleware.…”