Screen LibraryKnowledge graphs : fundamentals, techniques, and applications /
"Fundamental techniques and state-of-the-art methods in constructing, adding knowledge to, and deriving insights from large-scale and medium-scale knowledge graphs derived from noisy, real-world data"--
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| Main Authors: | |
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| Group Author: | ; |
| Published: |
The MIT Press,
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| Publisher Address: | Cambridge, Massachusetts : |
| Publication Dates: | [2021] |
| Literature type: | Book |
| Language: | English |
| Series: |
Adaptive computation and machine learning series
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| Subjects: | |
| Summary: |
"Fundamental techniques and state-of-the-art methods in constructing, adding knowledge to, and deriving insights from large-scale and medium-scale knowledge graphs derived from noisy, real-world data"-- |
| Carrier Form: | xxvii, 530 pages : illustrations ; 24 cm. |
| Bibliography: | Includes bibliographical references (pages [467]-510) and index. |
| ISBN: |
9780262045094 (hardcover) : 0262045095 (hardcover) |
| Index Number: | QA76 |
| CLC: | TP391.41 |
| Call Number: | TP391.41/K289 |
| Contents: | Knowledge Graph Fundamentals ; Introduction to Knowldege Graphs ; Modeling and Representing Knowledge Graphs -- Knowledge Graph Construction ; Domain Discovery ; Named Entity Recognition ; Web Information Extraction ; Relation Extraction ; Nontraditional Information Extraction -- Knowledge Graph Completion ; Instance Matching ; Statistical Relational Learning ; Representation Learning for Knowledge Graphs -- Accessing Knowledge Graphs ; Reasoning and Retrieval ; Structured Querying ; Question Answering -- Knowledge Graph Ecosystems ; Linked Data ; Enterprise and Government ; Knowledge Graphs and Ontologies in Science ; Knowledge Graphs for Domain-Specific Social Impact. |