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Special Issue "Information Systems Modeling Based on Graph Theory"






A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Mathematics and Computer Science".



Deadline for manuscript submissions: 31 July 2021.




 




Special Issue Editors





Prof. András Benczúr Website

Guest Editor


 


Sciences of Hungarian Academy of Sciences, Faculty of Informatics, Eötvös Loránd University, Budapest, Hungary

Interests: database, data and document management systems, big data, cloud, modeling of information systems, information theory




Prof. Dr. Domenico Ursino Website

Guest Editor


 


Department of Information Engineering (DII), Università Politecnica delle Marche( Università degli Studi di Ancona), Ancona, Italy

Interests: social network analysis, biomedical engineering, data lakes, innovation management and internet of things




Prof. Dr. Bálint Molnár Website

Guest Editor


 


Information Systems Department, Faculty of Informatics, Eötvös Loránd University, Budapest, Hungary

Interests: modeling of information systems using formal methods, methods for analyzing and designing information systems, expert systems, application of data science on the field of enterprise information systems




Special Issue Information




Dear Colleagues, 



We are pleased to announce this Special Issue of the journal Mathematics, entitled "Information Systems Modelling Based on Graph Theory." This initiative focuses on the topic of the application of graphs and graph theories in any aspect of information systems, including information system design and modeling in organizations and large systems of information collection in science, medicine, administration, etc.



We aim to include articles containing novel applications of theoretical results on different graph models, including ordinary graphs, hypergraphs, and any kind of labeled or colored digraphs.



Another trend in today's technology is IoT (the Internet of Things), which generates and supplies an enormous amount of data for information systems that apply recent technologies, such as data warehouses and data lakes.



The IoT networks, fog, and edge computing can be considered as systems where computing devices are interrelated and can exchange data between themselves over a communication network. These enormous amounts of data are collected and processed in information systems. The effective design of this complex architecture requires rigorous mathematical- based models, especially graph-based approaches for checking consistency, integrity, and security of models.



Enterprise information systems support and control operational business processes that embrace everything from simple internal back-office processes to complex inter-organizational processes. Technologies such as business process modelling and management, workflow management (WFM), enterprise application integration (EAI), enterprise resource planning (ERP), service-oriented architectures (SoA), and web services (WS) have a sound mathematical background that underlies the semi-formal, visual languages to represent business processes. The methods for Model-to-Program (M-2-P) exploits the fact that the descriptive languages are grounded in mathematics, especially various graph-based approaches. The algorithms that transform the representation of business processes to web services and executable programs rely on formal and graph-theoretic approaches to create reliable operational systems.



Process mining aims to extract information from event logs to capture the business process as it is being executed. To achieve effective and efficient interpretation of the data stored in logs and to exploit the recent methods of data science, one of the reasonable directions is to apply adequate graph representation and pattern matching methodologies.



This Special Issue welcomes theoretical and applied contributions that address graph-theoretic algorithms, technologies, and practices. This Special Issue is devoted to recent advances in information systems and application of graphs in the realm of information and data architecture and graph data models, including but not limited to those in the following areas:




  • Representations of business and data processing

  • The aspect of models in information systems

  • The architecture of information systems

  • Analyses of models represented by finite-state machines and automation

  • Knowledge representation and integration

  • Model transformation

  • Consistency checking of IS models (data and information architecture)

  • Graph databases in IS

  • Querying large models by graph algorithms

  • Applications of ranking graphs

  • Graph representation and logic languages

  • Applications of data science on graph representation of information systems

  • Analytics of real, large graphs and networks

  • Graph pattern search and matching

  • Semantic unification and harmonization

  • Social network analysis and its applications

  • Social Internet of Things (SioT) and its applications

  • Multiple Internet of Things (MIoT) and its applications

  • Horn logic and hypergraphs



As a response to the recent advancements, the objective of this Special Issue is to present a collection of notable methods and applications of graph theoretical approaches in the modeling of information systems. We invite scientists from all around the world to contribute to developing a comprehensive collection of papers on the progressive and high impact of modeling of information systems exploiting properties of various graph-based approaches.



We thus encourage you to send high-quality articles disseminating novel research achievements for this issue.



Prof. Dr. Domenico Ursino

Prof. András Benczúr

Prof. Dr. Bálint Molnár

Guest Editors



 



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. Mathematics is an international peer-reviewed open access semimonthly 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 1600 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.



 




Keywords





  • information systems

  • business data processing

  • finite state machines

  • knowledge representation

  • model transformation

  • graph databases

  • ranking graphs

  • logic languages

  • large networks

  • graph pattern matching

  • social networks

  • IoT

  • hypergraphs

  • graph theory

  • graph-algorithms

  • meta-graphs






Published Papers





This special issue is now open for submission.