Important Dates
The US2TS Symposium series is an emerging premier forum for fostering community between academic, industry, and government researchers and practitioners in the US that develop or apply semantic technologies. The interest in semantics has been strengthened by the growing dependence on the Web and the continuously increasing importance of large-scale data sharing, integration, and reuse.
Semantics is an inherently multidisciplinary field that attracts engagement from a broad range of researchers and practitioners. Participants at the US2TS come from disciplines in computer science and engineering, natural sciences, geoscience, biology, library science, food science, biomedical and health care sciences, social sciences, and the humanities, and many others. Discussions at the symposium cover core topics such as the Semantic Web, Ontologies, Knowledge Graphs, Linked Data, and AI on the Web, Privacy and Trust, etc., as well as the intersection of such topics with areas such as the Internet of Things (IoT), Artificial Intelligence, and Blockchains...
This year, we welcome all kinds of topics related to semantic technologies, especially focusing on explainable AI, openness, and reusability of semantic technologies.
Semantic technologies are at the forefront of developing explainable AI tools for domains such as law and science, delivering high-quality, trustworthy information to support AI decision-making. As large language models become increasingly widespread across fields, the need for explainable AI has become even more critical, particularly for users who may be unaware of the limitations of current AI systems (e.g., hallucinations and inaccuracies). It is timely and important to explore how the strengths of neural networks can be effectively combined with semantic technologies such as knowledge representation and symbolic logic.
One of the central themes for this year’s U.S. Semantic Technologies Symposium is openness and reusability of semantic technologies. As Semantic Web technologies continue to grow in importance across diverse domains—from biomedicine to environmental sciences to industry—the need for open, interoperable, and reusable tools has become increasingly important. Proprietary solutions and siloed development efforts limit the ability of researchers, developers, and practitioners to build upon each other’s work, slowing innovation and fragmenting the community... Emphasizing openness ensures that semantic technologies are accessible, extensible, and sustainable, while reusability promotes cross-domain applicability and long-term impact. By fostering a culture of open standards, open-source software, shared vocabularies, and best practices for interoperability, we aim to support the development of Semantic Web applications that are robust, transparent, and collaboratively built.
Call for Lightning Talks & Posters
Please submit an abstract (200–250 words) and keywords, indicating whether you are applying for a Lightning Talk or a Poster presentation.
Lightning Talks
We will have two Lightning Talks sessions. This will be an open forum where any of the participants can present a chosen topic. Examples include:
o Late-breaking research
Submission Guidelines:
o Each presenter will have exactly one slide (PDF, landscape, 3:4)
Posters
Posters will be displayed throughout the conference. This will be an open forum where any of the participants can present a chosen topic. Examples include:
o Late-breaking research
Submission Guidelines:
o Poster maximum size - Coming Soon
We look forward to your great contributions and participation. See you all on Dec. 08 - 10, 2025, Wright State University, Dayton, OH, USA.
Contact
All questions about submissions should be emailed to: us2ts...@wright.edu.
-- Pascal Hitzler University Distinguished Professor Lloyd T. Smith Creativity in Engineering Chair Director, Center for AI and Data Science CAIDS Director, Inst. for Digital Agriculture and Adv. Analyt. ID3A Kansas State University http://www.pascal-hitzler.de http://www.daselab.org http://www.semantic-web-journal.net http://k-state.edu/ID3A https://neurosymbolic-ai-journal.com