The Semantic Web Semantics and Big Data

This book PDF is perfect for those who love Computers genre, written by Philipp Cimiano and published by Springer which was released on 20 May 2013 with total hardcover pages 728. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related The Semantic Web Semantics and Big Data books below.

The Semantic Web Semantics and Big Data

Author	: Philipp Cimiano
File Size	: 50,9 Mb
Publisher	: Springer
Language	: English
Release Date	: 20 May 2013
ISBN	: 9783642382888
Pages	: 728 pages

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The Semantic Web Semantics and Big Data by Philipp Cimiano Book PDF Summary

This book constitutes the refereed proceedings of the 10th Extended Semantic Web Conference, ESWC 2013, held in Montpellier, France, in May 2013. The 42 revised full papers presented together with three invited talks were carefully reviewed and selected from 162 submissions. They are organized in tracks on ontologies; linked open data; semantic data management; mobile Web, sensors and semantic streams; reasoning; natural language processing and information retrieval; machine learning; social Web and Web science; cognition and semantic Web; and in-use and industrial tracks. The book also includes 17 PhD papers presented at the PhD Symposium.

The Semantic Web Semantics and Big Data by Philipp Cimiano,Oscar Corcho,Valentina Presutti,Laura Hollink,Sebastian Rudolph

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Semantic Web and Big Data by Ankush Khanna

In the age of big data, managing and analyzing large amounts of data is becoming increasingly important. The Semantic Web, with its ability to provide a common framework for data integration and interoperability, offers a promising solution for handling big data. This book explores how the Semantic Web can be

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The Semantic Web by Vipul Kashyap,Christoph Bussler,Matthew Moran

The Semantic Web is a vision – the idea of having data on the Web defined and linked in such a way that it can be used by machines not just for display purposes but for automation, integration and reuse of data across various applications. However, there is a widespread misconception

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Mastering Structured Data on the Semantic Web by Leslie Sikos

A major limitation of conventional web sites is their unorganized and isolated contents, which is created mainly for human consumption. This limitation can be addressed by organizing and publishing data, using powerful formats that add structure and meaning to the content of web pages and link related data to one

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The Semantic Web for Knowledge and Data Management by Ma, Zongmin,Wang, Huaiqing

Provides a single record of technologies and practices of the Semantic approach to the management, organization, interpretation, retrieval, and use of Web-based data.

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Semantic Web Automation of information retrieval by Ankush Khanna

As an expansion of the current World Wide Web, the Semantic Web is a concept of a system that provides software programmes with machine-interpretable metadata about the information and data that has been published on the web. To put it another way, we augment the data descriptors that already exist

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Intelligent Systems in Big Data Semantic Web and Machine Learning by Noreddine Gherabi,Janusz Kacprzyk

This book describes important methodologies, tools and techniques from the fields of artificial intelligence, basically those which are based on relevant conceptual and formal development. The coverage is wide, ranging from machine learning to the use of data on the Semantic Web, with many new topics. The contributions are concerned

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Semantic Web for the Working Ontologist by James Hendler,Fabien Gandon,Dean Allemang

Enterprises have made amazing advances by taking advantage of data about their business to provide predictions and understanding of their customers, markets, and products. But as the world of business becomes more interconnected and global, enterprise data is no long a monolith; it is just a part of a vast

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