Services for Connecting and Integrating Big Numbers of Linked Datasets.

Format:

Book

Author/Creator:

Mountantonakis, M.

Series:

Studies on the Semantic Web

Studies on the Semantic Web ; v.50

Language:

English

Subjects (All):

Linked data.

Big data.

Physical Description:

1 online resource (314 pages)

Edition:

1st ed.

Place of Publication:

: IOS Press, Incorporated, 2021.

Summary:

Linked Data is a method of publishing structured data to facilitate sharing, linking, searching and re-use.Many such datasets have already been published, but although their number and size continues to increase, the main objectives of linking and integration have not yet been fully realized, and even seemingly simple tasks, like finding all.

Contents:

Intro

Title Page

Abstract

Acknowledgments

Contents

List of Figures

List of Tables

Chapter 1. Introduction

Chapter 2. Large Scale Semantic Integration of Linked Data: A survey

Chapter 3. Research Gaps &amp

Motivating Scenarios

Chapter 4. Cross-dataset Identity Reasoning &amp

Semantics-aware Indexes at Global Scale

Chapter 5. Content-based Intersection, Union and Complement Metrics Among Several Linked Datasets

Chapter 6. The LODsyndesis Suite of Services

Chapter 7. Conclusion

Bibliography

Appendix A. Publications, Systems &amp

Useful Links

Appendix B. Acronyms.

Notes:

Description based on publisher supplied metadata and other sources.

OCLC:

1267761547