Titlebook: Knowledge Graphs; Aidan Hogan,Claudio Gutierrez,Antoine Zimmermann Book 2022 Springer Nature Switzerland AG 2022

installment

COST

不怕任性

Introduction,aletal. [2021], Pan etal. [2017], Qi etal. [2020]), as well as papers outlining definitions (e.g., Ehrlinger and Wofi [2016]), novel techniques (e.g., Lin et al. [2015], Pujara et al. [2013], Wang et al. [2014]), and surveys of specific aspects of knowledge graphs (e.g., Paulheim [2017], Wang et al. [2017]).

把手

任意

Creation and Enrichment,rd decides to build a knowledge graph from scratch, aiming to initially describe the main tourist attractions–places, events, etc.–in Chile in order to help visiting tourists identify those that most interest them. The board decides to postpone adding further data, like transport routes, reports of crime, etc., for a later date.

Definitive

躲債

Publication,y governmental organizations [Hendler et al., 2012, Shadbolt and O’Hara, 2013]. Publishing refers to making the knowledge graph (or part thereof) accessible to the public, often on the Web. Knowledge graphs published as open data are called open knowledge graphs (discussed in Section 10.1).

殘酷的地方

Book 2022and academia. Knowledge graphs are founded on the principle of applying a graph-based abstraction to data, and are now broadly deployed in scenarios that require integrating and extracting value from multiple, diverse sources of data at large scale. The book defines knowledge graphs and provides a h

絕種

Schema, Identity, and Context,r to a . as a data graph potentially enhanced with representations of schema, identity, context, ontologies, and/or rules. These additional representations may be embedded in the data graph, or layered above. Representations for schema, identity and context are discussed now, while ontologies and rules will be discussed in Chapter 4.

reaching