Special Issue "Conceptual Structures 2019"
Deadline for manuscript submissions: closed (31 May 2020).
Interests: machine learning; neuroscience; computational psychology; order theory
Interests: semantic web; data mining; artificial intelligence
Interests: web programing; web technologies and communication; web design and optimization; formal concept analysis
This Special Issue, which grew out of the International Conferences on Conceptual Structures (ICCS 2019), focuses 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. 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. Conversely, graphical and graph-based models can provide a rigorous way of expressing intuitive notions in computable frameworks. The aim of the ICCS 2019 conference is to build upon its long-standing expertise in graph-based KRR and focus on providing modeling, formal, and application results of graph-based systems.
The Special Issue welcomes contributions from a modeling, application, and theoretical viewpoint:
- Modeling results will investigate concrete real world needs for graph-based representation, for example (but not exclusively) how human cognition can be mapped onto and facilitated by graphical representations, how certain use cases are of interest to the graph community, how using graphs can bring added (business) value, what kind of graph representation is needed for a given case, etc.;
- Papers reporting on application experience will be expected to demonstrate the benefits of the graph-based proposed solutions in the context of the use case studied. Where appropriate, the graph-based solutions are compared to other possible solutions;
- Technical results will include fundamental graph theory based results for novel structures for representation, extensions of existing structures for added expressivity, conciseness, optimization algorithms for reasoning, reasoning explanation, etc.
Prof. Dr. Dominik Endres
Dr. Mehwish Alam
Dr. Diana Florina Sotropa
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Information is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- Graph-based models and tools for human reasoning
- Existential and conceptual graphs
- Formal concept analysis
- Philosophical, neural, and didactic investigations of conceptual, graphical representations
- Knowledge architecture and management
- Human and machine reasoning under inconsistency
- Human and machine knowledge representation and uncertainty
- Contextual logic
- Constraint satisfaction
- Decision making and argumentation
- Semantic Web, Web of Data, Web 2.0
- Social network analysis
- Conceptual knowledge acquisition
- Data and text mining
- Conceptual structures in natural language processing and linguistics
- Metaphoric, cultural or semiotic considerations
- Resource allocation and agreement technologies