Contextualized Knowledge Services for Personalized Learner Support

In this demonstration we present our KnowSe framework, developed for observing, storing, analyzing and leveraging Contextual Attention Metadata, utilizing our ontology-based user interactions context model (UICO). It includes highly contextualized knowledge services for supporting learners in a personalized and adaptive way, by exploiting the learner’s user context. Personal information management and search systems can be improved by taking into account the context in which information is used and produced by a user, namely the user context. While talking about context we specifically focus here on the information relevant to the interactions of the user with applications and resources (documents, emails, contacts, online content, clipboard content, etc.) on the computer desktop. Recording the user context is a prerequisite for providing personalized knowledge services. We have thus developed context observation tools (so-called sensors) which record all low-level operating system and application events (keyboard strokes and mouse clicks) initiated by the user while interacting with her desktop [1]. For each event, corresponding to a singular interaction of the user with a given application and specific resources, we record all the information relevant to this interaction (window title, date, keyboard input, application name, document or folder name, content of document, etc). Multiple application specific sensors have been developed for Microsoft Office applications, Outlook, Internet Explorer, Mozilla Firefox and Thunderbird. The contextual information recorded by sensors is sent as an XML stream to the context observation framework for processing and analysis. It is used to automatically populate our User Interaction Context Ontology (UICO) [2] which constitutes an ontology-based context model of the personal information management domain. This ontology is based on our conceptual model, the semantic pyramid [1], in which events are grouped into event-blocks (an event-block representing a sequence of interactions with a given resource) which are themselves grouped into tasks (a task representing a well-defined step of a process involving only one person). This ontology represents a key ingredient of KnowSe, by providing a coherent view on and a single access point to the data, stored in a triple store (more precisely a quad store featuring named graphs and SPARQL query possibilities). ha l-0 08 72 16 8, v er si on 1 11 O ct 2 01 3 Author manuscript, published in "Proc. Demonstrations EC-TEL '09, Nice : France (2009)"