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Introduction

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Part of the Synthesis Lectures on Data, Semantics, and Knowledge book series (SLDSK)

Abstract

Linked data provides the basis for knowledge to be distributed, networked, and shared. The term Linked Data (LD) refers to a set of best practices for publishing and interlinking structured data on the Web. Creating a connection between data and its contexts could lead to the development of intelligent search engines which could explore the Web, moving from a keyword-based approach to a meaning-based approach. Researches can be more accurate by exploiting the relations between words. LD can provide a benefit in several research areas like in the medical field for structuring the connections between various illnesses and the relative cures, in the scientific literature for structuring the citations between the million of documents published online. The potentialities of exploitation of LD are countless.

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Po, L., Bikakis, N., Desimoni, F., Papastefanatos, G. (2020). Introduction. In: Linked Data Visualization. Synthesis Lectures on Data, Semantics, and Knowledge. Springer, Cham. https://doi.org/10.1007/978-3-031-79490-2_1

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