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Exploiting Linked Data and Knowledge Graphs in Large Organisations

This book addresses the topic of exploiting enterprise-linked data with a particular focus on knowledge construction and accessibility;

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Transactions on Large Scale Data and Knowledge Centered Systems XXXVII

This, the 37th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains five revised selected regular papers;

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Transactions on Large-Scale Data- and Knowledge-Centered Systems XIX

of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains four high-quality papers investigating the areas of linked data and big data;

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Linked Open Data Creating Knowledge Out of Interlinked Data

Work Program. Commencing in September 2010, this 4-year project comprised leading Linked Open Data research groups, companies, and service;

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Semantic Systems. The Power of AI and Knowledge Graphs

submissions. They cover topics such as: web semantics and linked (open) data; machine learning and deep learning techniques; semantic information;

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On Uncertain Graphs

, graphs are increasingly used to represent noisy linked data in many emerging application scenarios, and they have recently become a hot topic;

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Transactions on Large-Scale Data- and Knowledge-Centered Systems XLVI

The LNCS journal Transactions on Large-Scale Data- and Knowledge-Centered Systems focuses on data management, knowledge discovery, and;

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Semantic Technology

technologies and are organized in topical sections on ontology and data management; ontology reasoning; linked data and query; information retrieval;

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Service-Oriented Distributed Knowledge Discovery

unmanageable volumes of data by exploiting data mining and machine learning distributed models and techniques in service-oriented infrastructures;

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Service-Oriented Distributed Knowledge Discovery

unmanageable volumes of data by exploiting data mining and machine learning distributed models and techniques in service-oriented infrastructures;

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Reasoning Web. Learning, Uncertainty, Streaming, and Scalability

2018. The research areas of Semantic Web, Linked Data, and Knowledge Graphs have recently received a lot of attention in academia;

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Reasoning Web. Explainable Artificial Intelligence

research areas of Semantic Web, Linked Data, and Knowledge Graphs have recently received a lot of attention in academia and industry. Since its;

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JavaScript Data Structures and Algorithms

Explore data structures and algorithm concepts and their relation to everyday JavaScript development. A basic understanding of these ideas;

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JavaScript Data Structures and Algorithms

core data structure fundamentals: arrays, linked-lists, trees, heaps, graphs, and hash-table Review core algorithm fundamentals: search, sort;

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Knowledge Graphs and Language Technology: ISWC 2016 International Workshops

the use of linguistic linked open data, the linguistic aspectsof DBpedia, the improvement of of DBpedia through NLP applications, on;

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The Semantic Web ISWC 2015

. The papers cover topics such as querying with SPARQL; querying linked data; linked data; ontology-based data access; ontology alignment;

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The Semantic Web ISWC 2015

. The papers cover topics such as querying with SPARQL; querying linked data; linked data; ontology-based data access; ontology alignment;

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Machine Learning and Knowledge Discovery in Databases

Machine Learning and Artificial Intelligence and eXplainable Knowledge Discovery in Data Mining, AIMLAI-XKDD 2019; Workshop on Decentralized;

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The Semantic Web

data management, querying and distributed data; data dynamics, quality, and trust; matching, integration, and fusion; NLP and information;

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Governing And Managing Knowledge In Asia (2nd Edition)

thoroughly edited and data, tables and graphs have been updated to reflect the latest available statistics. Trends have been re-evaluated and;

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Learning JavaScript Data Structures and Algorithms -

Hone your skills by learning classic data structures and algorithms in JavaScript About This Book * Understand common data structures;

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Big Data Analytics for Time-Critical Mobility Forecasting

This book provides detailed descriptions of big data solutions for activity detection and forecasting of very large numbers of moving;

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Big Data Analytics for Time-Critical Mobility Forecasting

This book provides detailed descriptions of big data solutions for activity detection and forecasting of very large numbers of moving;

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Machine Learning and Knowledge Discovery in Databases: International Workshops of Ecml Pkdd 2019, Würzburg, Germany, September 16-20, 2019, Proceeding

Machine Learning and Artificial Intelligence and eXplainable Knowledge Discovery in Data Mining, AIMLAI-XKDD 2019; Workshop on Decentralized;

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Digital Libraries for Open Knowledge

of the following topics: knowledge graphs and linked data; quality assurance in digital libraries; ontology design; user requirements and;

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Learning JavaScript Data Structures and Algorithms

such as stacks, linked lists, trees, and graphs in ES 8 Develop abstract data types to make JavaScript a more flexible and powerful;

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Apache Spark Graph Processing

Build, process and analyze large-scale graph data effectively with Spark About This Book * Find solutions for every stage of data;

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