Deep Machine Learning for Semantic Data Deep machine learning is becoming a new frontier in artificial intelligence research.Over the past decade a number of deep learning approaches have been developed at the crossroad of different disciplines and application domains.They have recently enjoyed enormous success in learning useful representations of semantic data from various application areas such as vision,speech,audio,or natural language processing.We take here a broad view of this field and want to attract researchers concerned with deep learning of representations,including matrix and probabilistic latent models,tensors,metric learning,graphical models and also recent techniques Deep Machine Learning for Semantic Data Deep machine learning is becoming a new frontier in artificial intelligence research. Over the past decade a number of deep learning approaches have been developed at the crossroad of different disciplines and application domains. The have have recently learned substantial success in learning useful representations of semantic data from various application areas such as vision, speech, audio, or natural language processing. We take here a broad view of this field and want to attract researchers concerned with deep learning of representations, including matrix and probabilistic latent models, tensors, metric learning, graphical models and also recent techniques