International Journal on Semantic Web and Information Systems

Aims & Scope

The International Journal on Semantic Web and Information Systems (IJSWIS) is an archival journal that publishes high quality original manuscripts in all aspects of Semantic Web that are relevant to computer science and information systems communities.

IJSWIS is an open forum aiming to cultivate the Semantic Web vision within the information systems research community.

The main focus is on information systems discipline and working towards the delivery of the main implications that the Semantic Web brings to information systems and the information/knowledge society.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	5.6
2024	4.10

SJR (SCImago Journal Rank)

Year	Value
2024	0.920

Quartile

Year	Value
2024	Q1

h-index

Year	Value
2024	43

Journal Rank

Year	Value
2024	5517

Journal Citation Indicator

Year	Value
2024	833

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Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Web of Science

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Computer Science, designed to support cutting-edge academic discovery.

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Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• Linked Data - The Story So Far

  Citation: 2385

  Authors: Christian, Tom, Tim

• Semantics for the Internet of Things

  Citation: 406

  Authors: Payam, Wei, Cory, Kerry

• The Berlin SPARQL Benchmark

  Citation: 361

  Authors: Christian, Andreas

• OOPS! (OntOlogy Pitfall Scanner!)

  Citation: 291

  Authors: María, Asunción, Mari Carmen

• Ontology of Folksonomy

  Citation: 156

  Authors: Thomas

• Big Data and Data Analytics Research

  Citation: 144

  Authors: Miltiadis D., Vijay, Ernesto

• Trust Metrics on Controversial Users

  Citation: 140

  Authors: Paolo, Paolo

• Phishing Website Detection With Semantic Features Based on Machine Learning Classifiers

  Citation: 139

  Authors: Ammar, Mohammad, Mohd Taib, Mohammed, Ayat, Waleed, Brij B., Brij B., Brij B.

• Improving the Quality of Linked Data Using Statistical Distributions

  Citation: 130

  Authors: Heiko, Christian

• Information Retrieval by Semantic Similarity

  Citation: 129

  Authors: Angelos, Giannis, Epimenidis, Euripides G.M., Evangelos

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