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

. In 2016, the theme of the school was Logical Foundation of Knowledge Graph Construction and Query Answering . The notion of knowledge graph has;

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

acquisition and knowledge graph construction; linked data, knowledge integration, and knowledge graph storage management; natural language;

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Reasoning Web. Semantic Interoperability on the Web

, reasoning over linked data, database to ontology mapping, query answering over ontologies, hybrid reasoning with rules and ontologies, and ontology;

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Web Reasoning and Rule Systems

and selected from 16 submissions. The scale and the heterogenous nature of web data poses many challenges, and turns basic tasks such as query;

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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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Relevant Query Answering over Streaming and Distributed Data

This book examines the problem of relevant query answering over the Web and provides a comprehensive overview of relevant query answering;

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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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Web Information Systems Engineering WISE 2020

organized in the following topical sections: Part I: network embedding; graph neural network; social network; graph query; knowledge graph;

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Web Information Systems Engineering WISE 2020

organized in the following topical sections: Part I: network embedding; graph neural network; social network; graph query; knowledge graph;

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Flexible Query Answering Systems

; social networks and social media; argumentation-based query answering; data mining and knowledge discovery; advanced flexible query answering;

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Flexible Query Answering Systems

structured in topical sections on database management, information retrieval, extraction and mining, ontologies and semantic web, intelligent;

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Knowledge Graphs and Semantic Web

processing; description logics; information systems; query languages; world wide web; semantic web description languages; and information retrieval.;

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Principles and Practice of Semantic Web Reasoning

Here are the proceedings of the 4th International Workshop on Principles and Practice of Semantic Web Reasoning, PPSWR 2006. The book;

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Graph-based Knowledge Representation

This book provides a de?nition and study of a knowledge representation and r- soning formalism stemming from conceptual graphs, while;

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Web Information Systems and Applications

papers are grouped in topical sections on world wide web, recommendation, query processing and algorithm, natural language processing, machine;

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Semantic Technology

discovery; RDF and query; knowledge graph; application of semantic technologies.;

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Data Integration on the (Semantic) Web with Rules and Rich Unification

, XPath and Xcerpt neatly fit into this framework. Xcerpt is extended to become a truly format-versatile web query language within the bounds;

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Human Interaction with Graphs

integration between the visual graph query interface and the underlying graph query engine. We discuss various strategies and guidance for;

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Exploiting Linked Data and Knowledge Graphs in Large Organisations

aspects; it starts with state-of-the art knowledge-graph construction approaches, and then discusses exploration and exploitation techniques as;

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Semantic Technology

, knowledge graph, knowledge integration, query and recommendation, and applications of semantic technologies.;

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Managing Data From Knowledge Bases

specifically, the authors study the query optimization and tackle the query performance prediction for knowledge retrieval. They also handle;

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Managing Data From Knowledge Bases

specifically, the authors study the query optimization and tackle the query performance prediction for knowledge retrieval. They also handle;

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New Directions in Question Answering

access and can be seen as the natural step beyond such standard Web search methods as keyword query and document retrieval. This collection;

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Database and Expert Systems Applications

were carefully reviewed and selected from 166 submissions. The papers discuss a range of topics including: Semantic Web and Semantics; Graph;

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Database and Expert Systems Applications

were carefully reviewed and selected from 166 submissions. The papers discuss a range of topics including: Semantic Web and Semantics; Graph;

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Building Web Applications with Python and Neo4j

in production A step-by-step guide on implementing and deploying interactive Python-based web applications on graph data model Who This Book;

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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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