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Titlebook: Reasoning Web. Learning, Uncertainty, Streaming, and Scalability; 14th International S Claudia d’Amato,Martin Theobald Textbook 2018 Spring

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Cold-Start Knowledge Base Population Using Ontology-Based Information Extraction with Conditional Rld-start setting which assumes as given an ontology that models classes and properties relevant for the domain of interest, and an empty knowledge base that needs to be populated from unstructured text. More specifically, cold-start knowledge base population consists in predicting semantic structure
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Rule Induction and Reasoning over Knowledge Graphs,Learning rules from KGs is a crucial task for KG completion, cleaning and curation. This tutorial presents state-of-the-art rule induction methods, recent advances, research opportunities as well as open challenges along this avenue. We put a particular emphasis on the problems of learning exception
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Reasoning at Scale (Tutorial), to an introduction of the problem and of related technologies. Then, the tutorial continues discussing the state-of-the-art for reasoning on very large inputs with particular emphasis on the strengths and weaknesses of current approaches. Finally, the tutorial concludes with an outline of some of t
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Efficient and Convenient SPARQL+Text Search: A Quick Survey,tension of SPARQL to text search. As an outlook, we discuss the question of how to provide a system with the power of QLever and the convenience of Broccoli. Both Broccoli and QLever are also useful when only searching a knowledge base (without additional text).
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