We present an ontology-based reasoning approach for saving energy in a smart home setting where a mobile phone can serve as a generic sensor which can collect the inhabitant's contextual data. The paper details an ontology that describes the smart home domain and a prototype to test the system. Finally, we conclude with lessons learned from our work in developing an energy-aware smart home prototype and suggestions for future work.
To make web search more effective, we address the problem of articulating a user's information needs more effectively. This is done in an iterative way, by allowing the user to provide relevance feedback regarding individual segments of retrieved Web-pages. Previously applied methods are limited to discovering 'general importance values of segments' (based on the authors' 'objective views' i.e., main topics) rather than 'subjective importance values of segments' (based on a user's 'subjective view' i.e., personal information needs).In this paper, a user's interests are incrementally identified by allowing the user to iteratively select relevant keywords or phrases from a set of system-recommended candidate-keywords and candidate-phrases (i.e., pseudorelevance feedback). It makes it possible to discover 'subjective importance values of segments' that can be dynamically changed by the user by indicating their interests regarding retrieved Web-pages. The important segments, selected by the user, provide higher precision of pseudorelevance feedback for further Web Information Retrieval purposes.
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