First Call for Participation β NeSy 2025 September 8β10, 2025 | Santa Cruz, California Join us for the 2025 19th Conference on Neurosymbolic Learning and Reasoning (NeSy 2025) taking place in beautiful Santa Cruz, CA September 8-10. The NeSy series is the longest standing gathering for the presentation and discussion of cutting-edge research in neurosymbolic AI. The conference brings together researchers at the intersection of neural network-based statistical machine learning with knowledge representation and reasoning from symbolic approaches. Keynote Speakers: - Guy van den Broeck (UCLA) - Thomas Kipf (Google DeepMind) - Deborah McGuinness (RPI) - Gary Marcus (NYU) Early Registration by August 7 We have a limited number of travel grants for US-based PhD students and early career researchers. Apply by July 20: https://2025.nesyconf.org/travel_grants/ Learn more and register at: https://2025.nesyconf.org
NeSy 2025 industry abstracts (2 pages) deadline June 15, https://2025.nesyconf.org/call-for-papers/ 19th International Conference on Neurosymbolic Learning and Reasoning (NeSy 2025), held in Santa Cruz (CA, USA) from September 8-10, 2025.
NeSy 2025 late deadline approaching (abstract May 30, paper June 6). https://2025.nesyconf.org/call-for-papers/ 19th Conference on Neurosymbolic Learning and Reasoning (NeSy 2025), Santa Cruz, California, September 8th to 10th 2025.
In case you're looking for possible publication venues for LLM-KG work: NeSy 2025 CfP at https://2025.nesyconf.org/call-for-papers/ - paper deadline Feb 28 (abstract), March 7 (full). 19th International Conference on Neurosymbolic Learning and Reasoning (NeSy 2025), held in Santa Cruz (CA, USA) from September 8-10, 2025.
Dear Colleague, We plan to submit a proposal to the AAAI for an AAAI Spring Symposium on March 31-April 2, 2025, to be held in San Francisco, California, USA, with the following topic: AAAI-MAKE: Machine Learning and Knowledge Engineering for Trustworthy Multimodal and Generative AI (see proposal: https://www.aaai-make.info/proposal2025) The 2025 symposium aims to bring together a diverse group of researchers and practitioners to explore integrating machine learning and knowledge engineering in hybrid, multimodal AI systems. To get the symposium accepted, we need expressions of interest from potential participants. If you find the symposium of interest, we would be glad if you could add your name to the form: https://www.aaai-make.info/interest2025 By filling out the form, you will help us get our proposal accepted by the AAAIβit only takes a minute. Please note that you only express your interest; you are not committing to participate. We would be delighted if you shared our expression of interest within your network and community. Thank you very much in advance. Sincerely yours, Andreas Martin On behalf of my AAAI-MAKE organizer colleagues: Pedro A. Colon-Hernandez, Maaike de Boer, Aurona Gerber, Knut Hinkelmann, Pascal Hitzler, Yen-Ling Kuo, Thomas Schmid, Paulo Shakarian, and Reinhard Stolle.
Call for late-breaking presentation abstracts *Large Language Models for Knowledge Graph and Ontology Engineering* /2024 AAAI Fall Symposium/ Large Language Models (LLMs) and Knowledge Graphs (KGs) are highly trending. The interplay between these two technologies can go both ways, but the two directions are quite different in approach. This symposium specifically focuses on how LLMs can be used as tools to augment the extant capacity for ontology and knowledge graph engineering. Knowledge Graph Engineering (KGE) and Ontology Engineering (OE β together KG/OE) challenges in particular have to do with the (to date still) high involvement of humans and human expert in the KG/OE life cycle, including creation/modeling, alignment, evolution, reusability (from both ontological commitment and accessibility perspectives). The KG/OE communities have made steady progress in the past 20 years, but only now with LLMs, key KG/OE challenges appear to become addressable at scale. The goal of this symposium to focus and coordinate research. We wish to create a space and foundational community for the sharing of ideas for prompt engineering, fine-tuning, neurosymbolic approaches, quality control, and human-in-the-loop methods: all with LLMs for OE/KGE. *Topics* include, but are not limited to: * LLMs for Knowledge Graph and Ontology Creation * LLMs for Ontology and Entity Mapping * LLMs for Knowledge Graph and Ontology Evolution * LLMs for Knowledge Graph access and use * LLMs as Natural Language Interfaces for Knowledge Graphs and Ontologies *Format* of the Symposium: The program will consist of presentations of accepted full papers, posters, lightning talks, keynotes, and significant time for panel and plenary discussions. *Submission* of late-breaking results: Please send a 1/2 to 1-page abstract in pdf format, indicating all authors and who would present, to hitzler@ksu.edu (no specific format required) Abstracts will not be published, but accepted abstracts will get a presentation slot. *Deadline* for submission: August 31, 2024. (subject to space, we may follow up with additional calls) *Symposium Committee*: * Pascal Hitzler, Kansas State University, USA (hitzler@ksu.edu) * Andrea Nuzzolese, CNR, Italy (andrea.nuzzolese@gmail.com) * Catia Pesquita, Universidade de Lisboa, Portugal (clpesquita@fc.ul.pt) * Cogan Shimizu, Wright State University (cogan.shimizu@wright.edu) *For more information*, see https://kastle-lab.github.io/llms-and-kg-engineering/
We have an open position for a Research Assistant Professor in the Center for Artificial Intelligence and Data Science (CAIDS), Department of Computer Science, Kansas State University: https://careers.k-state.edu/cw/en-us/job/517491 - ask me about it if interested and spread the word π
Call for Papers Large Language Models for Knowledge Graph and Ontology Engineering 2024 AAAI Fall Symposium Large Language Models (LLMs) and Knowledge Graphs (KGs) are highly trending. The interplay between these two technologies can go both ways, but the two directions are quite different in approach. This symposium specifically focuses on how LLMs can be used as tools to augment the extant capacity for ontology and knowledge graph engineering. Knowledge Graph Engineering (KGE) and Ontology Engineering (OE β together KG/OE) challenges in particular have to do with the (to date still) high involvement of humans and human expert in the KG/OE life cycle, including creation/modeling, alignment, evolution, reusability (from both ontological commitment and accessibility perspectives). The KG/OE communities have made steady progress in the past 20 years, but only now with LLMs, key KG/OE challenges appear to become addressable at scale. The goal of this symposium to focus and coordinate research. We wish to create a space and foundational community for the sharing of ideas for prompt engineering, fine-tuning, neurosymbolic approaches, quality control, and human-in-the-loop methods: all with LLMs for OE/KGE. Topics include, but are not limited to:
LLMs for Knowledge Graph and Ontology Creation
LLMs for Ontology and Entity Mapping
LLMs for Knowledge Graph and Ontology Evolution
LLMs for Knowledge Graph access and use
LLMs as Natural Language Interfaces for Knowledge Graphs and Ontologies
Format of the Symposium: The program will consist of presentations of accepted full papers, posters, lightning talks, keynotes, and significant time for panel and plenary discussions. Submission of papers:
Full papers (for oral presentation): 8-10 pages (not counting references).
Short papers (for poster presentation): 3-4 pages (not counting references).
Lightning talks (for brief spotlight presentation): 1-2 pages extended abstract (not counting references).
Submissions are to be made via the official AAAI Symposium Easychair submission portal at https://easychair.org/my/conference?conf=fss24. You must choose from the appropriate symposia from the available tracks. Deadline for submission of papers: July 31, 2024. Symposium Committee:
Pascal Hitzler, Kansas State University, USA (hitzler@ksu.edu)
Andrea Nuzzolese, CNR, Italy (andrea.nuzzolese@gmail.com)
Catia Pesquita, Universidade de Lisboa, Portugal (clpesquita@fc.ul.pt)
Cogan Shimizu, Wright State University (cogan.shimizu@wright.edu)
For more information, see https://kastle-lab.github.io/llms-and-kg-engineering/
18th NeSy 2024 - International Conference on Neurosymbolic Learning and Reasoning ===== TL;DR ===== Dates: September 9-12, 2024 Location: Barcelona, Catalonia, Spain Full paper submission: April 12, 2024 Late/short paper submission: May 5, 2024 ===== NeSy 2024 ===== Following the almost 20 years of success of NeSy, the series of International Workshops on Neural-Symbolic Learning and Reasoning (http://www.neural-symbolic.org), in 2024 NeSy will return as the 1st International Conference on Neurosymbolic Learning and Reasoning (NeSy 2024), held in Barcelona (Catalonia, Spain) from September 9-12, 2024. NeSy continues to be the premier annual meeting point of the research community working on neurosymbolic integration, combining symbolic and subsymbolic approaches to learning and reasoning in AI systems. The proceedings of NeSy 2024 will be published as part of Springer's LNCS/LNAI series. ===== Relevant Dates ===== Conference website available: Late January 2024 Detailed CfP (including formatting guidelines): Late January 2024 Full paper abstract deadline: April 5, 2024 Full paper submission: April 12, 2024 Author notification: May 24, 2024 Camera-ready papers: June 19, 2024 Late/short paper submission: May 5, 2024 Author notifications: June 3, 2024 Camera-ready papers: June 19, 2024 ===== Organizing Committee ===== General/Local Chair: + Tarek R. Besold (Sony AI, Barcelona) Program Chairs: + Ernesto Jimenez Ruiz (City, University of London) + Artur d'Avila Garcez (City, University of London) + Tarek R. Besold (Sony AI, Barcelona)
I've been asked to co-organize AAAI-MAKE at the AAAI Spring Symposium in March 2024. We're in the stage of submitting the proposal to run it, to AAAI. What we need in support of the proposal is expressions of interest from anybody who indeed finds this interesting. If you can and want to support, please fill in this form: https://www.aaai-make.info/interest2024 There is no commitment or anything attached to filling this in. If you don't know AAAI-MAKE, here is the link to the 2023 event: https://www.aaai-make.info/ - themes that connect knowledge graphs and deep learning are a core part of this.