ICCS 2021 Call for papers

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 a series of 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 are getting more and more attention. With the rise of quasi-autonomous AI, graph-based representations provide a vehicle for making machine cognition explicit to its human users. This year ICCS 2021 is a part of “Bolzano Summer of Knowledge” (see https://summerofknowledge.inf.unibz.it/) which will take place in Bolzano, Italy during the month of September, 20th – 23rd, 2021. 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Submissions are invited on significant, original, and previously unpublished research on the formal analysis and representation of conceptual knowledge in artificial intelligence (AI).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 2021 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. 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

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 and argumentation

Preferences

Contextual logic

Ontologies

Knowledge architecture and management

Semantic Web, Web of Data, Web 2.0

Conceptual structures in natural language processing and linguistics

Metaphoric, cultural or semiotic considerations

Constraint satisfaction

Resource allocation and agreement technologies

Philosophical, neural, and didactic investigations of conceptual, graphical representations

Submission Information

We invite scientific papers of up to fourteen pages, short contributions up to eight pages and extended poster abstracts of up to three pages. Papers and posters 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, and the submission should be done via EasyChair:

https://easychair.org/conferences/?conf=iccs20211

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 but will not 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 submitted for indexation by DBLP.

Review Process

Papers will be subject to double blind peer review in which the reviewers do not know the author’s identity. In order to make blind reviewing possible, authors must omit their names and affiliations from the paper. Also, while the references should not include unpublished work. When referring to one’s own work, use the third person rather than the first person. Such identifying information can be added back to the final camera-ready version of accepted papers. Similarly, reviewers should not reveal their identities within the paper reviews. The review process will include the opportunity for authors to see the reviews of their papers and to respond to technical questions raised by the reviewers before discussion starts within the Program Committee. The decision of the Program Committee will be final and cannot be appealed.