Proceedings Template - WORD
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چکیده
Preserving privacy while publishing social network data has become a serious issue with the rapid growth of Social Networks. In this work, we propose a perturbation based approach for privacy preserving publication of social network graphs and evaluate the utility aspect of our proposed method using real world dataset.
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Proceedings Template - WORD
Path loss and delay profile models for ITS applications based on the measured data at 700MHz band are presented.
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This poster presents a computational analysis of conceptual metaphors in a community of political blogs. Like sentiment analysis or opinion extraction, computational metaphor identification can provide a means of understanding the particular framings or conceptualizations used in a community. This poster includes an overview of the implementation and a summary of results.
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The research proposed here was for an Arabic speech recognition application, concentrating on the Lebanese dialect. The system starts by sampling the speech, which was the process of transforming the sound from analog to digital and then extracts the features by using the Mel-Frequency Cepstral Coefficients (MFCC). The extracted features are then compared with the system's stored model; in this...
متن کاملProceedings Template - WORD
Most of the approaches for dealing with uncertainty in the Semantic Web rely on the principle that this uncertainty is already asserted. In this paper, we propose a new approach to learn and reason about uncertainty in the Semantic Web. Using instance data, we learn the uncertainty of an OWL ontology, and use that information to perform probabilistic reasoning on it. For this purpose, we use Ma...
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