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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 Structures for Knowledge Representation and Reasoning

papers feature current research involved in the development and application of graph-based knowledge representation formalisms and reasoning;

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Graph Structures for Knowledge Representation and Reasoning

papers feature current research involved in the development and application of graph-based knowledge representation formalisms and reasoning;

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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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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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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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Graph-Based Representations in Pattern Recognition

This book constitutes the refereed proceedings of the 10th IAPR-TC-15 International Workshop on Graph-Based Representations in Pattern;

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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 Representations in Pattern Recognition

This book constitutes the refereed proceedings of the 12th IAPR-TC-15 International Workshop on Graph-Based Representation in Pattern;

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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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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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Knowledge Seeker - Ontology Modelling for Information Search and Management

components. First, it defines the knowledge representation model !V Ontology Graph. Second, an ontology learning process that based on chi-square;

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Graph Classification And Clustering Based On Vector Space Embedding

This book is concerned with a fundamentally novel approach to graph-based pattern recognition based on vector space embedding of graphs. It;

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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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Graph-Based Representations in Pattern Recognition

This book constitutes the refereed proceedings of the 11th IAPR-TC-15 International Workshop on Graph-Based Representation in Pattern;

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Graph Algorithms And Applications 3

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

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Graph Algorithms And Applications 5

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

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A Knowledge Representation Practionary

This major work on knowledge representation is based on the writings of Charles S. Peirce, a logician, scientist, and philosopher of the;

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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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Graph Algorithms And Applications 4

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

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Graphs and Geometry

of this book is that such a representation is not merely a way to visualize the graph, but an important mathematical tool. It is obvious that this;

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Knowledge Science, Engineering and Management

graph; knowledge representation; knowledge management for education; knowledge-based systems; and data processing and mining. The papers of the;

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Knowledge Science, Engineering and Management

graph; knowledge representation; knowledge management for education; knowledge-based systems; and data processing and mining. The papers of the;

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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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Conceptual Structures: From Information to Intelligence

practices, among them other forms of graph-based reasoning systems like RDF or existential graphs, formal concept analysis, Semantic Web;

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Graph-Based Semi-Supervised Learning

. Graph-based SSL algorithms, which bring together these two lines of work, have been shown to outperform the state-of-the-art in many;

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