Semantic Web

Aims & Scope

The journal Semantic Web – Interoperability, Usability, Applicability is an international and interdisciplinary journal bringing together researchers from various fields which share the vision and need for more effective and meaningful ways to share information across agents and services on the future Internet and elsewhere.

As such, Semantic Web technologies shall support the seamless integration of data, on-the-fly composition and interoperation of Web services, as well as more intuitive search engines.

The semantics – or meaning – of information, however, cannot be defined without a context, which makes personalization, trust and provenance core topics for Semantic Web research.

New retrieval paradigms, user interfaces and visualization techniques have to unleash the power of the Semantic Web and at the same time hide its complexity from the user.

Based on this vision, the journal welcomes contributions ranging from theoretical and foundational research over methods and tools to descriptions of concrete ontologies and applications in all areas.

Papers which add a social, spatial and temporal dimension to Semantic Web research, as well as application-oriented papers making use of formal semantics, are especially welcome.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	2.9
2024	3.00

SJR (SCImago Journal Rank)

Year	Value
2024	0.577

Quartile

Year	Value
2024	Q2

h-index

Year	Value
2024	60

Journal Rank

Year	Value
2024	10061

Journal Citation Indicator

Year	Value
2024	404

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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.

• DBpedia – A large-scale, multilingual knowledge base extracted from Wikipedia

  Citation: 1754

  Authors: Jens, Robert, Max, Anja, Dimitris, Pablo N., Sebastian, Mohamed, Patrick, Sören, Christian

• Knowledge graph refinement: A survey of approaches and evaluation methods

  Citation: 751

  Authors: Heiko

• The OWL API: A Java API for OWL ontologies

  Citation: 430

  Authors: Matthew, Sean

• Quality assessment for Linked Data: A Survey

  Citation: 385

  Authors: Amrapali, Anisa, Andrea, Ricardo, Jens, Sören

• Ontop: Answering SPARQL queries over relational databases

  Citation: 277

  Authors: Diego, Benjamin, Sarah, Roman, Davide, Martin, Mariano, Guohui

• Enabling the geospatial Semantic Web with Parliament and GeoSPARQL

  Citation: 229

  Authors: Robert, Dave

• Linked data quality of DBpedia, Freebase, OpenCyc, Wikidata, and YAGO

  Citation: 201

  Authors: Michael, Frederic, Carsten, Achim

• LinkedGeoData: A core for a web of spatial open data

  Citation: 201

  Authors: Claus, Jens, Konrad, Sören

• Linked Open Vocabularies (LOV): A gateway to reusable semantic vocabularies on the Web

  Citation: 194

  Authors: Pierre-Yves, Ghislain A., María, Bernard

• The modular SSN ontology: A joint W3C and OGC standard specifying the semantics of sensors, observations, sampling, and actuation

  Citation: 178

  Authors: Armin, Krzysztof, Simon J.D., Maxime, Kerry, Danh, Joshua, Raúl, Rob, Claus

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