Knowledge Graphs and Big Data Processing
This open access book is part of the LAMBDA Project (Learning, Applying, Multiplying Big Data Analytics), funded by the European Union, GA No. 809965. Data Analytics involves applying algorithmic processes to derive insights. Nowadays it is used in many industries to allow organizations and companie...
محفوظ في:
| التنسيق: | Online |
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| اللغة: | الإنجليزية |
| منشور في: |
Springer Nature
2021
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| الموضوعات: | |
| الوصول للمادة أونلاين: | ONIX_20200813_9783030531997_36 |
| الوسوم: |
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| _version_ | 1869516139325816832 |
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| collection | Directory of Open Access Books |
| description | This open access book is part of the LAMBDA Project (Learning, Applying, Multiplying Big Data Analytics), funded by the European Union, GA No. 809965. Data Analytics involves applying algorithmic processes to derive insights. Nowadays it is used in many industries to allow organizations and companies to make better decisions as well as to verify or disprove existing theories or models. The term data analytics is often used interchangeably with intelligence, statistics, reasoning, data mining, knowledge discovery, and others. The goal of this book is to introduce some of the definitions, methods, tools, frameworks, and solutions for big data processing, starting from the process of information extraction and knowledge representation, via knowledge processing and analytics to visualization, sense-making, and practical applications. Each chapter in this book addresses some pertinent aspect of the data processing chain, with a specific focus on understanding Enterprise Knowledge Graphs, Semantic Big Data Architectures, and Smart Data Analytics solutions. This book is addressed to graduate students from technical disciplines, to professional audiences following continuous education short courses, and to researchers from diverse areas following self-study courses. Basic skills in computer science, mathematics, and statistics are required. |
| format | Online |
| id | doab-20.500.12854ir-28210 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | Springer Nature |
| publisherStr | Springer Nature |
| record_format | ojs |
| spelling | doab-20.500.12854ir-282102025-05-08T06:01:33Z Knowledge Graphs and Big Data Processing Janev, Valentina Graux, Damien Jabeen, Hajira Sallinger, Emanuel Database Management Information Systems Applications (incl. Internet) Logic in AI Computer Appl. in Administrative Data Processing Business Information Systems Computer and Information Systems Applications Computer Application in Administrative Data Processing artificial intelligence big data data analytics data handling data integration data mining databases digital storage domain knowledge graph theory information management information technology integrated data internet knowledge management knowledge-based system ontologies semantics Databases Database programming Information retrieval Internet searching Artificial intelligence Public administration Information technology: general issues Business mathematics & systems This open access book is part of the LAMBDA Project (Learning, Applying, Multiplying Big Data Analytics), funded by the European Union, GA No. 809965. Data Analytics involves applying algorithmic processes to derive insights. Nowadays it is used in many industries to allow organizations and companies to make better decisions as well as to verify or disprove existing theories or models. The term data analytics is often used interchangeably with intelligence, statistics, reasoning, data mining, knowledge discovery, and others. The goal of this book is to introduce some of the definitions, methods, tools, frameworks, and solutions for big data processing, starting from the process of information extraction and knowledge representation, via knowledge processing and analytics to visualization, sense-making, and practical applications. Each chapter in this book addresses some pertinent aspect of the data processing chain, with a specific focus on understanding Enterprise Knowledge Graphs, Semantic Big Data Architectures, and Smart Data Analytics solutions. This book is addressed to graduate students from technical disciplines, to professional audiences following continuous education short courses, and to researchers from diverse areas following self-study courses. Basic skills in computer science, mathematics, and statistics are required. 2021-02-10T13:22:07Z 2021-02-10T13:22:07Z 2020-08-13T11:54:12Z 2020 book ONIX_20200813_9783030531997_36 ONIX_20200813_9783030531997_36 OCN: 1182514157 https://library.oapen.org/handle/20.500.12657/41294 https://directory.doabooks.org/handle/20.500.12854/28210 eng Lecture Notes in Computer Science; Information Systems and Applications, incl. Internet/Web, and HCI open access image/jpeg image/jpeg image/jpeg image/jpeg n/a n/a n/a n/a https://library.oapen.org/bitstream/20.500.12657/41294/1/2020_Book_KnowledgeGraphsAndBigDataProce.pdf https://library.oapen.org/bitstream/20.500.12657/41294/1/2020_Book_KnowledgeGraphsAndBigDataProce.pdf https://library.oapen.org/bitstream/20.500.12657/41294/1/2020_Book_KnowledgeGraphsAndBigDataProce.pdf https://library.oapen.org/bitstream/20.500.12657/41294/1/2020_Book_KnowledgeGraphsAndBigDataProce.pdf Springer Nature Springer 10.1007/978-3-030-53199-7 10.1007/978-3-030-53199-7 9fa3421d-f917-4153-b9ab-fc337c396b5a H2020 European Research Council European Research Council (ERC) EU collection Springer 209 open access |
| spellingShingle | Database Management Information Systems Applications (incl. Internet) Logic in AI Computer Appl. in Administrative Data Processing Business Information Systems Computer and Information Systems Applications Computer Application in Administrative Data Processing artificial intelligence big data data analytics data handling data integration data mining databases digital storage domain knowledge graph theory information management information technology integrated data internet knowledge management knowledge-based system ontologies semantics Databases Database programming Information retrieval Internet searching Artificial intelligence Public administration Information technology: general issues Business mathematics & systems Knowledge Graphs and Big Data Processing |
| title | Knowledge Graphs and Big Data Processing |
| title_full | Knowledge Graphs and Big Data Processing |
| title_fullStr | Knowledge Graphs and Big Data Processing |
| title_full_unstemmed | Knowledge Graphs and Big Data Processing |
| title_short | Knowledge Graphs and Big Data Processing |
| title_sort | knowledge graphs and big data processing |
| topic | Database Management Information Systems Applications (incl. Internet) Logic in AI Computer Appl. in Administrative Data Processing Business Information Systems Computer and Information Systems Applications Computer Application in Administrative Data Processing artificial intelligence big data data analytics data handling data integration data mining databases digital storage domain knowledge graph theory information management information technology integrated data internet knowledge management knowledge-based system ontologies semantics Databases Database programming Information retrieval Internet searching Artificial intelligence Public administration Information technology: general issues Business mathematics & systems |
| topic_facet | Database Management Information Systems Applications (incl. Internet) Logic in AI Computer Appl. in Administrative Data Processing Business Information Systems Computer and Information Systems Applications Computer Application in Administrative Data Processing artificial intelligence big data data analytics data handling data integration data mining databases digital storage domain knowledge graph theory information management information technology integrated data internet knowledge management knowledge-based system ontologies semantics Databases Database programming Information retrieval Internet searching Artificial intelligence Public administration Information technology: general issues Business mathematics & systems |
| url | ONIX_20200813_9783030531997_36 |