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NoSQL Data Models

You're reading from   NoSQL Data Models Addresses severe issues related to NoSQL data models

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Product type Paperback
Published in Aug 2018
Publisher Wiley
ISBN-13 9781786303646
Length 278 pages
Edition 1st Edition
Languages
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Author (1):
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Olivier Pivert Olivier Pivert
Author Profile Icon Olivier Pivert
Olivier Pivert
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Toc

Table of Contents (11) Chapters Close

Preface
1 NoSQL Languages and Systems 2 Distributed SPARQL Query Processing: a Case Study with Apache Spark FREE CHAPTER 3 Doing Web Data: from Dataset Recommendation to Data Linking 4 Big Data Integration in Cloud Environments: Requirements, Solutions and Challenges 5 Querying RDF Data: a Multigraph-based Approach 6 Fuzzy Preference Queries to NoSQL Graph Databases 7 Relevant Filtering in a Distributed Content-based Publish/Subscribe System List of Authors
Index
End User License Agreement

3.2. Datasets recommendation for data linking

Coreference resolution is a common thread across many communities, which is referred to as entity matching, entity disambiguation, cross-document coreference, duplicate record detection or record linkage. These terms all describe the process of determining the presence of different and heterogeneous descriptions of the same real-world objects and also the process of determining links and relations among these descriptions in order to make their correspondence explicit. Coreference resolution can build on a large body of related work across different communities. For example within database communities, we refer the interested reader to the works of Winkler et al. [WIN 06] on record linkage and Elmagarmid et al. [ELM 07] for duplicate detection. In the natural language processing field, we cite the survey of Soon et al. [SOO 01] where coreference resolution can be seen as the task of finding all expressions that refer to the same entity in...

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