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Development of Linguistic Linked Open Data Resources for Collaborative Data-Intensive Research in the Language Sciences

Making diverse data in linguistics and the language sciences open, distributed, and accessible: perspectives from language/language;

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Linguistic Linked Data

overview of the Linguistic Linked Data Cloud. The second part of the book focuses on modelling language resources using LD principles, describing;

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Linguistic Linked Data

overview of the Linguistic Linked Data Cloud. The second part of the book focuses on modelling language resources using LD principles, describing;

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Linked Open Data Creating Knowledge Out of Interlinked Data

Linked Open Data (LOD) is a pragmatic approach for realizing the Semantic Web vision of making the Web a global, distributed, semantics;

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Data-Intensive Science

Data-intensive science has the potential to transform scientific research and quickly translate scientific progress into complete solutions;

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Cambridge Language Teaching Library

exploring the challenges and constraints of action research. Collaborative Action Research for English Language Teachers discusses: what;

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Linked Data

application development, research or further study. Table of Contents: List of Figures / Introduction / Principles of Linked Data / The Web of Data;

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Linguistic Issues in Language Technology Vol 9 - Perspectives on Semantic Representations for Textual Inference

provides unprecedented opportunities for data-intensive analysis of linguistic phenomena, which can in turn enrich computational methods;

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Linked Data

and frameworks that enable these. Readers can expect to gain a rich technical understanding of Linked Data fundamentals, as the basis for;

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The Data Bonanza

includes examples and case studies with strategies for addressing a wide variety of data-intensive challenges. The book includes a discussion;

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Learning Analytics Goes to School

Learning Analytics Goes to School presents a framework for engaging in education research and improving education practice through the use;

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Learning Analytics Goes to School

Learning Analytics Goes to School presents a framework for engaging in education research and improving education practice through the use;

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Linked Democracy

democracy, offering licensed linked data along with information about the rights involved. This model of democracy for the web of data brings new;

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Data Integration in the Life Sciences

of diverse experimental data resources; once constructed, the models themselves become data and present new integration challenges for tasks such as;

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Data Placement in Distributed Systems

requirements. Increasing data requirements and the distributed nature of the resources made I/O the major bottleneck for end-to-end application;

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The Open Handbook of Linguistic Data Management

"This handbook contains principles and methods for the management, archiving, sharing, and citing of linguistic research data-especially;

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Open Data for Education

. In the first part of the book, two chapters give different perspectives on the current use of linked and open data in education, including the;

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Intelligent Data Communication Technologies and Internet of Things

This book solicits the innovative research ideas and solutions for almost all the intelligent data intensive theories and application;

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Data Intensive Computing for Biodiversity

This book is focused on the development of a data integration framework for retrieval of biodiversity information from heterogeneous and;

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Variability and Consistency in Early Language Learning: The Wordbank Project

the book the most comprehensive cross-linguistic analysis to date of early language learning. Moreover, its data-driven picture of which;

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Humanities Data Analysis

for conducting humanities research in the rapidly developing digital environment. The book begins with an overview of the place of data;

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Humanities Data In R

, and the humanities and social sciences. Humanities Data with R does not presuppose background programming experience. Early chapters take;

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Vivo

an expressive ontology, tools for managing the ontology, and a platform for using the ontology to create and manage linked open data for;

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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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Introduction to Research Methods and Data Analysis in the Health Sciences

Data Analysis in the Health Sciences presents a balanced blend of quantitative research methods, and the most widely used techniques for;

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Research Data Management and Data Literacies

Research Data Management and Data Literacies help researchers familiarize themselves with RDM, and with the services increasingly;

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Knowledge Management in the Development of Data-Intensive Systems

requires the development of new knowledge that extends and synthesizes existing knowledge. Knowledge Management in the Development of Data;

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