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A set of lifelogs is a dataset that describes a person's life. A high quality and large set of lifelogs is expected to be useful for many applications. Only by integrating the logs that are already available from various devices and creating semantic relationships among them, we can build a useful lifelog ontology that can support various applications. In this paper, we propose Entity-Event Lifelog...
In this paper, we introduce a novel method based on context awareness, semantic similarities and customized weights for different categories to improve keyword matching. The algorithm is able to weight terms by using category information and semantic relationships with WordNet as a lexical database. To demonstrate the usefulness of the approach, several tests are run comparing against other existing...
In this paper we introduce a novel document clustering approach that solves some major problems of traditional document clustering approaches. Instead of depending on traditional vector space model, this approach represents documents as graphs using domain knowledge in ontology because graphs can represent the semantic relationships among the concepts in documents. Based on scale-free network theory,...
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