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Graph Structures for Knowledge Representation and Reasoning

submissions. The contributions address various issues for knowledge representation and reasoning and the common graph-theoretic background, which;

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Graph Structures for Knowledge Representation and Reasoning

contributions address various issues for knowledge representation and reasoning and the common graph-theoretic background allows to bridge the gap;

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Graph Structures for Knowledge Representation and Reasoning

This book constitutes the thoroughly refereed post-conference proceedings of the 4th International Workshop on Graph Structures for;

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Graph Structures for Knowledge Representation and Reasoning

This book constitutes the thoroughly refereed post-conference proceedings of the Third International Workshop on Graph Structures for;

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Graph-based Knowledge Representation

representation and reasoning formalisms upon which knowledge-based systems can be built to solve real problems. Since object structures are graphs;

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Graph-Based Representation and Reasoning

, respectively. The topics covered are: conceptual structures, knowledge representation, reasoning, conceptual graphs, formal concept analysis, semantic;

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Conceptual Structures: From Information to Intelligence

social science to explore novel ways that c- ceptual structures can be deployed. Arising from the research on knowledge representation and;

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Conceptual Structures: Leveraging Semantic Technologies

knowledge representation and reasoning with conceptual graphs, over the years ICCS has broadened its scope to include in- vations from a wider range;

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Knowledge Graph and Semantic Computing: Knowledge Graph Empowers New Infrastructure Construction

submissions. The papers are organized in topical sections on knowledge extraction: knowledge graph representation and reasoning; knowledge;

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Knowledge Graph and Semantic Computing: Knowledge Computing and Language Understanding

wide research fields including the knowledge graph, the semantic Web, linked data, NLP, information extraction, knowledge representation and;

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Graph-based Representation and Reasoning

are organized around the following topical sections: time representation; graphs and networks; formal concept analysis; ontologies and linked;

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Reasoning Web: Logical Foundation of Knowledge Graph Construction and Query Answering

Facebook's Open Graph and Microsoft's Satori. The aim of the lecture note is to provide a logical foundation for constructing and querying;

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MDATA: A New Knowledge Representation Model

). By modifying the representation of entities and relations in knowledge graphs, dynamic knowledge can be efficiently described with temporal;

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Knowledge Representation

This collection of extended versions of 12 papers from the First International Conference on Principles of Knowledge Representation and;

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Graph Representation Learning

this kind of data. Recent years have seen a surge in research on graph representation learning, including techniques for deep graph embeddings;

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Handbook of Knowledge Representation

essential resource for graduate students, researchers, and practitioners in knowledge representation and AI. * Make your computer smarter

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AAAI-90

System Design Methodologies: techniques for designing expert systems and acquiring domain knowledge. Knowledge Representation: knowledge;

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Graph Algorithms And Applications 4

, constraint systems, databases, graph drawing, graph embedding and layout, knowledge representation, multimedia, software engineering;

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Knowledge Representation Reasoning & The

Knowledge representation and reasoning is the foundation of artificial intelligence, declarative programming, and the design of knowledge;

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Conceptual Structures in Practice

conceptual relations as the foundation for research in knowledge representation and knowledge mining. It includes contributions from leading;

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Conceptual Structures in Practice

conceptual relations as the foundation for research in knowledge representation and knowledge mining. It includes contributions from leading;

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Knowledge Representation and Reasoning

intuitive form, and the basics of reasoning with that representation are explained in detail. This approach gives readers a solid foundation for;

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Heterogeneous Graph Representation Learning and Applications

Representation learning in heterogeneous graphs (HG) is intended to provide a meaningful vector representation for each node so as to;

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Strategy Representation

Strategy Representation: An Analysis of Planning Knowledge describes an innovative methodology for investigating the conceptual structures;

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Strategy Representation

Strategy Representation: An Analysis of Planning Knowledge describes an innovative methodology for investigating the conceptual structures;

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Knowledge Science, Engineering and Management

Processing and Data Mining; Image and Video Data Analysis; Deep Learning; Knowledge Graph and Knowledge Management; Machine Learning; and Knowledge;

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Knowledge Science, Engineering and Management

Processing and Data Mining; Image and Video Data Analysis; Deep Learning; Knowledge Graph and Knowledge Management; Machine Learning; and Knowledge;

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