---
title: "ISWC (A): papers and universities"
description: "ISWC (International Semantic Web Conference) is rated A by the CORE Conference Rankings (ICORE2026); OpenAlex lists 203 of its papers from 2024–2026 (44 in 2024, 62 in 2025, 97 in 2026). By the countries of the authors' institutions, the most papers come from Germany (59), Italy (31) and China (28)."
url: https://scholar4ai.com/proceedings/iswc
markdown_url: https://scholar4ai.com/proceedings/iswc.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "ISWC (International Semantic Web Conference) is rated A by the CORE Conference Rankings (ICORE2026); OpenAlex lists 203 of its papers from 2024–2026 (44 in 2024, 62 in 2025, 97 in 2026). (as of 2026-11-02)"
data_url: https://scholar4ai.com/data/rankings.json
updated: 2026-11-02T12:20:52+09:00
window: 2026-10-04 to 2026-11-02
source: OpenAlex (CC0)
---

# ISWC: International Semantic Web Conference — papers and institutions, 2024–2026

Papers of ISWC, International Semantic Web Conference (CORE rank A; field: Data management and data science), 2024–2026: per year, the institutions, countries and topics, and the most-cited papers. Ranks are those of the CORE Conference Rankings, edition ICORE2026 (portal.core.edu.au), applied to every year shown. Papers are the works OpenAlex lists for the conference's proceedings, or for the issues of a conference-linked journal that publishes its papers (such as PACMPL, PVLDB or ACM TOG), by publication year; workshops, companion volumes, posters and Findings are left out. A paper counts once for each institution and country among its authors' affiliations as OpenAlex assigns them; papers without affiliations in OpenAlex count for none. For conferences published in book series that OpenAlex files as one source (LNCS, LIPIcs, SIAM and IOS Press proceedings), the papers are found by DOI: those of the volumes with the conference's title in Crossref, or LIPIcs DOIs, which name the conference. Conferences without DOIs (PMLR, USENIX, OpenReview) are listed without counts. A dash (–) for a year means OpenAlex has no papers of the conference for it yet: the proceedings are not published or indexed yet, or the conference did not meet that year (some meet every other year). 2026 counts what OpenAlex had indexed by 2026-11-02.

All conferences: https://scholar4ai.com/proceedings.md

## Key findings

- ISWC (International Semantic Web Conference) is rated A by the CORE Conference Rankings (ICORE2026); OpenAlex lists 203 of its papers from 2024–2026 (44 in 2024, 62 in 2025, 97 in 2026).
- By the countries of the authors' institutions, the most papers come from Germany (59), Italy (31) and China (28).
- The institutions with the most papers are Centre National de la Recherche Scientifique (10), Ghent University (10) and Paderborn University (9).
- Its most-cited paper of these years is “Increasing the Accuracy of LLM Question-Answering Systems with Ontologies” (2024), with 33 citations.

## Papers per year

*ISWC papers per publication year in OpenAlex (–: not in OpenAlex yet)*

| Year | Papers | With affiliations |
|---|---:|---:|
| 2024 | 44 | 43 |
| 2025 | 62 | 62 |
| 2026 | 97 | 96 |

## Sources

*Where OpenAlex lists the papers*

| OpenAlex source | Which papers |
|---|---|
| [S106296714](https://openalex.org/S106296714) | Papers of the volumes titled “The Semantic Web – ISWC <year>” (LNCS), found by DOI through Crossref |

## Who publishes there

*Institutions with the most ISWC papers, 2024–2026*

| # | Institution | Papers |
|---:|---|---:|
| 1 | [Centre National de la Recherche Scientifique](https://scholar4ai.com/institutions/centre-national-de-la-recherche-scientifique.md) | 10 |
| 2 | Ghent University | 10 |
| 3 | Paderborn University | 9 |
| 4 | Center for Scalable Data Analytics and Artificial Intelligence | 8 |
| 5 | Technische Universität Dresden | 8 |
| 6 | [Nanjing University](https://scholar4ai.com/institutions/nanjing-university.md) | 8 |
| 7 | TU Wien | 7 |
| 8 | University of Mannheim | 7 |
| 9 | Technical University of Munich | 7 |
| 10 | Universidad Politécnica de Madrid | 7 |

*Countries with the most ISWC papers, 2024–2026*

| # | Country | Papers |
|---:|---|---:|
| 1 | Germany | 59 |
| 2 | Italy | 31 |
| 3 | China | 28 |
| 4 | United States | 21 |
| 5 | France | 19 |
| 6 | United Kingdom | 19 |
| 7 | Belgium | 17 |
| 8 | Spain | 11 |
| 9 | Austria | 9 |
| 10 | Chile | 8 |

*Keywords with the most ISWC papers, 2024–2026*

| # | Keyword | Papers |
|---:|---|---:|
| 1 | knowledge graphs | 61 |
| 2 | [large language models](https://scholar4ai.com/keywords/large-language-models.md) | 31 |
| 3 | semantic web | 19 |
| 4 | linked data | 12 |
| 5 | SHACL | 10 |
| 6 | Wikidata | 10 |
| 7 | knowledge representation | 10 |
| 8 | link prediction | 10 |
| 9 | ontology (information science) | 10 |
| 10 | data integration | 8 |

## Most-cited papers

*Most-cited ISWC papers of 2024–2026 (citations counted by OpenAlex)*

| # | Citations | Title | Published | Authors |
|---:|---:|---|---|---|
| 1 | 33 | [Increasing the Accuracy of LLM Question-Answering Systems with Ontologies](https://doi.org/10.1007/978-3-031-77847-6_18) | 2024-11-26 | Dean Allemang, Juan Sequeda |
| 2 | 21 | [Finetuning Generative Large Language Models with Discrimination Instructions for Knowledge Graph Completion](https://doi.org/10.1007/978-3-031-77844-5_11) | 2024-11-26 | Yang Liu, Xiaobin Tian, Zequn Sun et al. |
| 3 | 20 | [Do LLMs Really Adapt to Domains? An Ontology Learning Perspective](https://doi.org/10.1007/978-3-031-77844-5_7) | 2024-11-26 | Huu Tan Mai, Cuong Xuan Chu, Heiko Paulheim |
| 4 | 18 | [Data Privacy Vocabulary (DPV) – Version 2.0](https://doi.org/10.1007/978-3-031-77847-6_10) | 2024-11-26 | Harshvardhan Jitendra Pandit, Beatriz Gonçalves Crisóstomo Esteves, Georg Philip Krog et al. |
| 5 | 15 | [InstructIE: A Bilingual Instruction-based Information Extraction Dataset](https://doi.org/10.1007/978-3-031-77847-6_4) | 2024-11-25 | Honghao Gui, Shuofei Qiao, Jintian Zhang et al. |
| 6 | 9 | [KGHeartBeat: An Open Source Tool for Periodically Evaluating the Quality of Knowledge Graphs](https://doi.org/10.1007/978-3-031-77847-6_3) | 2024-11-26 | Maria Angela Pellegrino, Anisa Rula, Gabriele Tuozzo |
| 7 | 8 | [Knowledge Graphs for Enhancing Large Language Models in Entity Disambiguation](https://doi.org/10.1007/978-3-031-77844-5_9) | 2024-11-26 | Gerard Pons, Besim Bilalli, Anna Queralt |
| 8 | 7 | [CimpleKG: A Continuously Updated Knowledge Graph on Misinformation, Factors and Fact-Checks](https://doi.org/10.1007/978-3-031-77847-6_6) | 2024-11-26 | Grégoire Burel, Martino Mensio, Youri Peskine et al. |
| 9 | 6 | [Ontology-Enhanced Knowledge Graph Completion Using Large Language Models](https://doi.org/10.1007/978-3-032-09527-5_4) | 2025-10-29 | Wenbin Guo, Xin Wang, Jiaoyan Chen et al. |
| 10 | 6 | [Integrating Large Language Models and Knowledge Graphs for Extraction and Validation of Textual Test Data](https://doi.org/10.1007/978-3-031-77847-6_17) | 2024-11-26 | Antonio De Santis, Marco Balduini A, Federico De Santis et al. |

## Cite this page

Scholar4AI. (2026). ISWC: International Semantic Web Conference — papers and institutions, 2024–2026. Journal and Conference Research Rankings. Retrieved November 2, 2026, from https://scholar4ai.com/proceedings/iswc

```bibtex
@misc{scholar4ai-proceedings-iswc,
  author = {{Scholar4AI}},
  title = {ISWC: International Semantic Web Conference — papers and institutions, 2024–2026},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/proceedings/iswc}},
  urldate = {2026-11-02},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}
```

License: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/).