SISAP 2025: 18th International Conference on Similarity Search and Applications Reykjavik University Reykjavik, Iceland, October 1-3, 2025 |
| Conference website | https://sisap.org/2025 |
| Submission link | https://easychair.org/conferences/?conf=sisap2025 |
| Abstract registration deadline | May 11, 2025 |
| Submission deadline | May 18, 2025 |
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18th International Conference on Similarity Search and Applications, SISAP 2025
Reykjavik, Iceland, October 1-3, 2025
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Important Dates
Regular and Special Session Papers
- Abstract deadline: May 11, 2025 (AoE)
- Paper deadline: May 18, 2025 (AoE)
- Paper notification: July 14, 2025 (AoE)
- Camera-ready due: July 31, 2025 (AoE)
Demonstration and Doctoral Symposium Papers
- Paper deadline: June 6, 2025 (AoE)
- Paper notification: July 14, 2025 (AoE)
- Camera-ready due: July 31, 2025 (AoE)
Special Session Proposals
- Special Session proposal deadline:
February 3, 2025 (AoE)Extended to: February 10, 2025 (AoE) - Notification: February 17, 2025 (AoE)
Scope
The 18th International Conference on Similarity Search and Applications (SISAP) is an annual forum for researchers and application developers in the area of similarity data management. It aims at the technological problems shared by numerous application domains, such as data mining, information retrieval, multimedia retrieval, computer vision, pattern recognition, computational biology, geography, biometrics, machine learning, and many others that make use of similarity search as a necessary supporting service. From its roots in metric indexing, SISAP has expanded to become the only international conference entirely devoted to all issues surrounding the theory, design, analysis, practice, and application of content-based and feature-based similarity search. Since 2021, SISAP has been a CORE Rank B conference.
The conference proceedings will be published by Springer as a volume in the Springer Lecture Notes in Computer Science (LNCS) series.
Important Additional Scholarly Activities at SISAP
Call for Special Session Proposals
Special sessions are mini-venues, each focusing on one state-of-the-art research direction within the field of similarity search and applications. Special sessions should generally be organized in a moderated panel format, typically led by one of the special session chairs, where the authors have reduced time to present their work, followed by an extensive Q&A session with the audience. It is expected that special session chairs attend the conference.
The panel format is a general guideline rather than a strict requirement. If a proposal envisages a different session format, we are open to such a submission and would negotiate it further.
Special session proposals must be submitted by email to sisap2025@isti.cnr.it by February 10, 2025 (deadline already extended).
Please see the website at https://www.sisap.org/2025/call4specialsession.html for more information about these special sessions.
Regular and Special Session Papers
The organisers of SISAP 2025 call for novel and original research papers that address the various topics of interest related to the conference. We encourage contributions both to theoretical aspects and applications.
Full papers (from 9 to 14 pages) are expected to be descriptions of complete technical work, whereas short papers (of up to 8 pages) can describe innovative approaches or preliminary results which may nevertheless require more work to mature. Vision papers and other position papers should be submitted as short research papers.
Special session papers will supplement the regular research papers and be included in the proceedings of SISAP 2025, which will be published by Springer.
Regular and special session research papers will be peer-reviewed in a double-blind review process. Thus, the submissions must be properly anonymized.
A small selection of the best papers presented at the conference will be recommended for inclusion in a special issue of Elsevier’s Information Systems journal. These extended versions will be subject to a second round of peer review at the journal.
The Best Paper will be recognized with a certificate and a monetary prize, thanks to Springer's sponsorship.
Demonstration Papers
SISAP 2025 invites novel, impactful demonstrations aligned with its topics of interest. Submissions (up to 8 pages, including references) must include a mandatory 1-page PDF appendix describing how the demo will be conducted on-site. Demonstrations will be evaluated on novelty, technical challenges, and on-site impact in a single-blind review process.
Please see https://www.sisap.org/2025/demonstrations.html for more details.
Doctoral Symposium
SISAP 2025 Doctoral Symposium provides a forum for PhD students to present their research ideas and receive feedback from senior members of the research community. The Symposium fosters a collaborative environment, encouraging constructive discussions and sharing of ideas.
The doctoral symposium papers will be peer-reviewed in a single-blind review process.
Please see https://www.sisap.org/2025/doctoralsymposium.html for more details.
SISAP Indexing Challenge
The SISAP Indexing Challenge is an event for researchers and practitioners to test new and/or well-tuned and optimised indexing approaches for shared tasks in laboratory and practical conditions. The Indexing Challenge results provide valuable comparisons of competing approaches and their implementations from given viewpoints and environments.
The Indexing Challenge papers will be peer-reviewed in a single-blind review process.
Please see https://sisap-challenges.github.io/2025/index.htm for more details.
Topics of interest
Topics of interest to the SISAP community include (but are not limited to) the following:
- Similarity
- Similarity queries (k-NN, range, reverse NN, top-k, Approximate and/or precise solutions, etc.)
- Similarity measures (for vectors, graphs, structures, time series, complex data, tensors, secondary similarity, etc.)
- Similarity operations (joins, ranking, classification, categorization, filtering, etc.)
- Scalability
- Indexing and access methods for similarity-based processing
- High-performance/large-scale similarity search (distributed, parallel, etc.)
- Data management (transaction support, dynamic maintenance, etc.)
- Theory
- Models of similarity
- Intrinsic dimensionality and Curse of dimensionality
- Discriminability and contrast
- Languages for similarity databases
- Manifolds and subspaces
- Analytics, Learning, Artificial Intelligence
- Feature selection and extraction for similarity search
- Representations learning for feature extraction
- Visual analytics for similarity-based operations
- Learning/adaptive similarity measures
- Similarity in learning and mining
- Merging/combining multiple similarity modalities
- Evaluation
- Evaluation techniques for similarity queries and operations
- Cost models and analysis for similarity data processing
- Performance studies and comparisons
- Test collections and benchmarks
- Applications
- Multimedia retrieval systems
- Dense retrieval
- Vector databases
- Similarity search in emerging data domains
- Applications of similarity-based operations
- Industrial applications and case studies
- Similarity search cloud services
- Security and privacy of in similarity search
- Similarity for forensics and security
Organization
Steering Committee
- Giuseppe Amato, CNR-ISTI, Italy
- Edgar Chávez, CICESE, México
- Stéphane Marchand-Maillet, University of Geneva, Switzerland
- Marco Patella, University of Bologna, Italy
- Ilaria Bartolini, University of Bologna, Italy
- Oscar Pedreira, University of A Coruña, Spain
General Co-Chairs
- Björn Þór Jónsson, Reykjavik University, Iceland
- Lucia Vadicamo, CNR-ISTI, Italy
Program Committee Co-Chairs
- Giuseppe Amato, CNR-ISTI, Italy
- Vladimir Mic, Aarhus University, Denmark
- Agma J. M. Traina, University of São Paulo, Brazil
Demonstration Chair
- Gylfi Þór Guðmundsson, Reykjavik University, Iceland
PhD Symposium Chair
- Laurent Amsaleg, IRISA-CNRS, France
Publications Chair
- Nicola Messina, CNR-ISTI, Italy
Publicity Chair
- Luca Ciampi, CNR-ISTI, Italy
SISAP Indexing Challenge Chairs
- Eric S. Tellez, CICESE-INFOTEC-CONACyT, Mexico
- Martin Aumüller, ITU Copenhagen, Denmark
- Vladimir Mic, Aarhus University, Denmark
- Edgar Chávez, CICESE, México