Knowledge Graph
Contents
Glossary
Technology in Brief
Technology in Brief
Technology in Brief
Technology in Brief
Methodology
Methodology
State of the Art and Open Issues
State of the Art and Open Issues
State of the Art and Open Issues
Industry Leaders, Startup
Industry Leaders, Startup
Bibliography
2.51M
Category: englishenglish

Knowledge Graph

1. Knowledge Graph

МИНОБРНАУКИ РОССИИ
Федеральное государственное автономное образовательное учреждение
высшего образования
«ЮЖНЫЙ ФЕДЕРАЛЬНЫЙ УНИВЕРСИТЕТ»
ИНСТИТУТ КОМПЬЮТЕРНЫХ ТЕХНОЛОГИЙ И ИНФОРМАЦИОННОЙ
БЕЗОПАСНОСТИ
Выполнила:
ст. гр. КТмо1-4
Гоманченко Наталья
Проверил:
Целых Алексей Александрович

2. Contents

1
Glossary
2
Technology in Brief
3
Methodology
4
State of the Art and Open Issue
5
Industry Leaders, Startup
6
Bibliography
5

3. Glossary

Types of entities and relations are defined in some machineunderstandable dictionaries called ontologies.
The standard ontology language is called OWL (Web
Ontology Language).
Knowledge Graphs are large networks of entities, their
semantic types, properties, and relationships between those
entities.
In a knowledge graph, the objects are called “nodes”, while
relationships are called “edges”.

4. Technology in Brief

A knowledge graph consists of a set of
interconnected typed entities and their
attributes.
Knowledge Graphs are large networks
of entities, their semantic types,
properties, and relationships between
those entities.
Those entities can be grouped into
classes according to their semantics,
and should ideally cover every aspect
that is important for a certain domain

5. Technology in Brief

6. Technology in Brief

7. Technology in Brief

8. Methodology

A knowledge graph
1. mainly describes real world entities and their interrelations,
organized in a graph.
2. defines possible classes and relations of entities in a
schema.
3. allows for potentially interrelating arbitrary entities with
each other.
4. covers various topical domains.

9. Methodology

There are various ways of building
such knowledge graphs. They can be
curated like Cyc, edited by the crowd
like Freebase and Wikidata, or
extracted from large-scale, semistructured web knowledge bases such
as Wikipedia, like DBpedia and
YAGO . Furthermore, information
extraction methods for unstructured
or semi-structured information are
proposed, which lead to knowledge
graphs like NELL, PROSPERA, or
KnowledgeVault.

10. State of the Art and Open Issues

Whichever approach is taken for constructing a knowledge
graph, the result will never be perfect.

11. State of the Art and Open Issues

12. State of the Art and Open Issues

13. Industry Leaders, Startup

The term ‘Knowledge Graph’ became well known in 2012
when Google started to use knowledge graph in their search
engine, allowing users to search for things, people or places,
rather than just matching strings in the search queries with
those in Web documents.
Inspired by the success story of Google, knowledge graphs are
gaining momentum in the world’s leading information
companies.

14. Industry Leaders, Startup

•Google Knowledge Graph
• Google Knowledge Vault
•Amazon Product Graph
•Facebook Graph API
•IBM Watson
•Microsoft Satori
• Project Hanover/Literome
•LinkedIn Knowledge Graph
•Yandex Object Answer
•Diffbot, GraphIQ, Maana, ParseHub, Reactor Labs,
SpazioDati

15. Bibliography

• Ehrlinger, Lisa; Wöß, Wolfram (2016). "Towards a Definition of Knowledge Graphs“
• Wang, Z.; Zhang, J.; Feng, J.; and Chen, Z. 2014a. Knowledge graph and text jointly
embedding. In Proceedings of EMNLP, 1591–1601.
• Singhal, Amit (May 16, 2012). "Introducing the Knowledge Graph: Things, Not Strings".
Google Official Blog. Retrieved September 6, 2014.
• Wang, Z.; Zhang, J.; Feng, J.; and Chen, Z. 2014b. Knowledge graph embedding by
translating on hyperplanes. In Proceedings of AAAI, 1112–1119.
• A. Blumauer. From Taxonomies over Ontologies to Knowledge Graphs, July 2014.
https://blog.semanticweb.at/2014/07/15/from-taxonomies-over-ontologiesto-knowledgegraphs [December, 2018].
• How Google’s Knowledge Graph Updates Itself by Answering Questions
URL:(www.seobythesea.com/2018/10/how-googles-knowledge-graph-updates-itself-byanswering-questions/) [December, 2018].
Bakker, R.R., Knowledge Graphs : Representation and Structuring of Scientific
Knowledge, PhD Thesis, University of Twente, Enschede, The Netherlands, ISBN
9001963-4 (1987).
• Mining Knowledge Graphs from Text URL:(https://kgtutorial.github.io/) [December,
2018].
• Knowledge Graph URL:(https://en.wikipedia.org/wiki/Knowledge_Graph) [December,
2018].
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