Guest editorial: Special issue on “current topics of knowledge graphs and semantic web”

• DOI: https://doi.org/10.1108/IJWIS-12-2022-142
• Published date: 12 December 2022
• Date: 12 December 2022
• Pages: 237-239
• Subject Matter: Information & knowledge management,Information & communications technology,Information systems,Library & information science,Information behaviour & retrieval,Metadata,Internet
• Author: Sanju Tiwari,Fernando Ortiz-Rodriguez,Boris Villazon

Guest editorial: Special issue on

“current topics of knowledge

graphs and semantic web”

Introduction

Knowledge Graphs are considered as a set of data points associated with relations to

describe the domains such as an organization, business or academics. They have a

potential role to bridge the semantic gap between unstructured and structured

information and fostered new research directions, tasks with new possibilities to

represent, query, visualize, interact and make more understandable information.

Knowledge Graphs are powerful to representing data in search and recommendation

systems that explored new insights about the domain. Recently, Knowledge Graphs gain

popularity with deep learning and graph embedding. This special issue has been

organized to invite the extended version of KGSWC-2021 conference accepted papers.

Theprimaryaimofthisissue:

to provide a forum for the Semantic Web community, bringing together researchers

and practitioners in industry to share ideas about R and D projects; and

to increase the adoption of the Semantic Web technologies within the region.

Indicative list of anticipated themes

Deep Learning on Knowledge Graphs.

Graph-based Data Science.

Text Mining and Natural Language Processing.

Combining Semantic Graphs with Property Graphs.

Probabilistic Knowledge Graphs.

Vocabularies, Schemas and Ontologies.

Web Analytics.

Knowledge Mining and Fusion.

Security and Data Privacy with Semantic Technologies.

Knowledge Graphs and Deep Semantics.

Semantic Linking and Search.

Machine Learning in Semantic Computing.

Linked Data.

Reasoning.

Social Web and Web Science.

Mobile Web, Sensors and Semantic Streams.

Services, APIs, Processes and Cloud Computing.

Benchmarking and Empirical Evaluation.

Guest editorial

237

InternationalJournal of Web

InformationSystems

Vol.18 No. 5/6, 2022

pp. 237-239

© Emerald Publishing Limited

1744-0084

DOI 10.1108/IJWIS-12-2022-142