The International Conferences on Conceptual Structures (ICCS) focus on the formal analysis and representation of conceptual knowledge at the crossroads of artificial intelligence, human cognition, computational linguistics, and related areas of computer science and cognitive science. The ICCS conferences evolved from seven annual workshops on conceptual graphs, starting with an informal gathering hosted by John F. Sowa in 1986. Recently, graph-based knowledge representation and reasoning (KRR) paradigms have been getting more and more attention. With the rise of quasi-autonomous AI, graph-based representations provide a vehicle for making machine cognition explicit to human users. ICCS 2023 will take place in Berlin, Germany, in September 2023. Scholars, students and industry participants from different disciplines will meet for several weeks of conferences, workshops, summer schools, and public events to engage with the broad topics, issues and challenges related to knowledge in the 21st century.
Submissions are invited on significant, original, and previously unpublished research on the formal analysis and representation of conceptual knowledge in artificial intelligence (AI). All papers will receive mindful and rigorous reviews that will provide authors with useful critical feedback. The aim of the ICCS 2023 conference is to build upon its long-standing expertise in graph-based KRR and focus on providing modelling, formal and application results of graph-based systems. In particular, the conference welcomes contributions that address graph-based representation and reasoning paradigms (e.g. Bayesian Networks (BNs), Semantic Networks (SNs), RDF(S), Conceptual Graphs (CGs), Formal Concept Analysis (FCA), CP-Nets, GAI-Nets, Graph Databases, Diagrams, Knowledge Graphs, Semantic Web, etc.) from a modelling, theoretical and application viewpoint.
Topics include but are not limited to:
- Existential and Conceptual Graphs
- Graph-based models for human reasoning
- Social network analysis
- Formal Concept Analysis
- Conceptual knowledge acquisition
- Data and Text mining
- Human and machine reasoning under inconsistency
- Human and machine knowledge representation and uncertainty
- Automated decision-making
- Constraint satisfaction
- Contextual logic
- Knowledge architecture and management
- Semantic Web, Web of Data, Web 2.0, Linked (Open) Data
- Conceptual structures in natural language processing and linguistics
- Metaphoric, cultural or semiotic considerations
- Resource allocation and agreement technologies
- Philosophical, neural, and didactic investigations of conceptual, graphical representations
- Abstract registration deadline:
March 19April 3, 2023
- Submission deadline:
March 26April 10, 2023
- Paper Reviews Sent to Authors: May 21, 2023
- Rebuttals Due: May 28, 2023
- Notification to authors: June 7, 2023
- Camera-ready papers due: June 21, 2023
All deadlines are AoE.
We invite scientific papers of up to fourteen pages, short contributions of up to eight pages, and extended poster abstracts of up to three pages. Papers and poster abstracts must be formatted according to Springer’s LNCS style guidelines and not exceed the page limit. Papers will be subject to double-blind peer review, in which the reviewers do not know the author’s identity. We recommend using services like https://anonymous.4open.science/ to anonymously share code or data. Anonymized works that are available as preprints (e.g., on arXiv or SSRN) may be submitted without citing them. Submission should be made via EasyChair: https://easychair.org/conferences/?conf=iccs2023. All paper submissions will be refereed, and authors will have the opportunity to respond to reviewers’ comments during the rebuttal phase. Accepted papers will be included in the conference proceedings, published by Springer in the LNCS/LNAI series. Poster submissions will also be refereed and selected poster abstracts might be included in the conference proceedings. At least one author of each accepted paper or poster must register for the conference and present the paper or poster there. Proceedings will be indexed by DBLP.
- Robert Jäschke, Information Processing and Analytics, Humboldt University of Berlin, Germany
- Manuel Ojeda Aciego, Dept. Applied Mathematics, University of Málaga, Spain
- Kai Sauerwald, Artificial Intelligence Group, FernUniversität in Hagen, Germany