Enterprise knowledge graph: An introduction

Jose Manuel Gomez-Perez; Jeff Z. Pan; Guido Vetere; Honghan Wu

doi:10.1007/978-3-319-45654-6_1

Enterprise knowledge graph: An introduction

Jose Manuel Gomez-Perez^*, Jeff Z. Pan, Guido Vetere, Honghan Wu

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Abstract

Compared to other information systems, The distinctive features of Knowledge Graphs lie in their special combination of knowledge representation structures, Information management processes, And search algorithms.

Original language	English
Title of host publication	Exploiting Linked Data and Knowledge Graphs in Large Organisations
Publisher	Springer
Pages	1-14
Number of pages	14
ISBN (Electronic)	9783319456546
ISBN (Print)	9783319456522
DOIs	https://doi.org/10.1007/978-3-319-45654-6_1
Publication status	Published - 24 Jan 2017

Keywords / Materials (for Non-textual outputs)

Link data
Question answering
Resource description framework
Semantic network
Semantic technology

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10.1007/978-3-319-45654-6_1

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title = "Enterprise knowledge graph: An introduction",

abstract = "Compared to other information systems, The distinctive features of Knowledge Graphs lie in their special combination of knowledge representation structures, Information management processes, And search algorithms.",

keywords = "Link data, Question answering, Resource description framework, Semantic network, Semantic technology",

author = "Gomez-Perez, {Jose Manuel} and Pan, {Jeff Z.} and Guido Vetere and Honghan Wu",

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T2 - An introduction

AU - Gomez-Perez, Jose Manuel

AU - Pan, Jeff Z.

AU - Vetere, Guido

AU - Wu, Honghan

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N2 - Compared to other information systems, The distinctive features of Knowledge Graphs lie in their special combination of knowledge representation structures, Information management processes, And search algorithms.

AB - Compared to other information systems, The distinctive features of Knowledge Graphs lie in their special combination of knowledge representation structures, Information management processes, And search algorithms.

KW - Link data

KW - Question answering

KW - Resource description framework

KW - Semantic network

KW - Semantic technology

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EP - 14

BT - Exploiting Linked Data and Knowledge Graphs in Large Organisations

PB - Springer

ER -

Enterprise knowledge graph: An introduction

Abstract

Keywords / Materials (for Non-textual outputs)

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