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Integrating logic and probability has a long story in§Artificial Intelligence and Machine Learning. This§book attempts the challenge of exploring and§developing high performing algorithms for a§state-of-the-art model that integrates first-order§logic and probability. However, much remains to be§done until AI systems will reach human intelligence.§A powerful language to achieve this is Markov Logic§which embodies the experience and successes of§various subfields of AI and Statistics. It allows to§express complexity and uncertainty, just as humans§would do in complex environments....

This book covers the latest advances in structure inference in heterogeneous collections of documents and data, offering a comprehensive view of the state of the art, and identifying challenges and opportunities for further research agenda and developments.