Titlebook: Logic-Based Program Synthesis and Transformation; 20th International S María Alpuente Conference proceedings 2011 Springer Berlin Heidelber

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書目名稱Logic-Based Program Synthesis and Transformation影響因子(影響力)




書目名稱Logic-Based Program Synthesis and Transformation影響因子(影響力)學科排名




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書目名稱Logic-Based Program Synthesis and Transformation網絡公開度學科排名




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書目名稱Logic-Based Program Synthesis and Transformation被引頻次學科排名




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書目名稱Logic-Based Program Synthesis and Transformation年度引用學科排名




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書目名稱Logic-Based Program Synthesis and Transformation讀者反饋學科排名

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Olivier Danvy,Ian Zernyhine learning, etc.—can be used to encode and extract knowledge. It covers techniques for the creation, enrichment, assessment, and refinement of knowledge graphs and surveys recent open and enterprise knowledge graphs and the industries or applications within which they have been most widely adopte

陶瓷

Johann Schumann,Karen Cate,Alan Lee access control. Finally, we show how Knowledge Graphs can power conversational agents in different points in the dialog system pipeline and the promising future of service annotations helping to build flexible systems decoupled from the web services with which they communicate.

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舊病復發(fā)

Mathieu Giorgino,Martin Strecker,Ralph Matthes,Marc Pantelery processing techniques provide a solution to scale up?to large volumes of data distributed across multiple data sources. Federated query processing techniques resort to source descriptions to identify relevant data sources for a query, as well as to find efficient execution plans that minimize th

Awning

清晰

Elvira Albert,Miguel Gómez-Zamalloa,José Miguel Rojas,Germán Puebla technique that relies on both the knowledge stated in RDF vocabularies and a context-based similarity metric to map contextually equivalent RDF graphs. COMET follows a two-fold approach to solve the problem of entity matching in RDF graphs in a context-aware manner. In the first step, COMET compute

步履蹣跚

Override

Dean Voets,Danny De Schreyeery processing techniques provide a solution to scale up?to large volumes of data distributed across multiple data sources. Federated query processing techniques resort to source descriptions to identify relevant data sources for a query, as well as to find efficient execution plans that minimize th

Inclement

David Insa,Josep Silvaype to entities for which the type is known and assign the type of the most similar set of entities to the entity with the unknown type. We demonstrate our approach on seven different named entity linking datasets..To the best of our knowledge, our approach is the first to combine word embeddings wi