K_GALS
Short description: Knowledge graphs are powerful models to represent networks of real-world entities, such as objects, events, situations, concepts, by illustrating the relationships between them. Information encoded by knowledge graphs is usually stored in graph databases, and visualized as graph structures. Although these models have been introduced in the Semantic Web context, they have recently found successful applications also in other contexts, e.g., the analysis of financial, social, geospatial and biomedical data. Knowledge graphs often integrate datasets from various sources, which frequently differ in their structure. This, together with the increasing volumes of structured and unstructured data stored in a distributed manner, bring to light new problems related to data/knowledge representation and integration, data querying, business analysis and knowledge discovery. The ultimate goal of this workshop is to provide participants with the opportunity to introduce and discuss new methods, theoretical approaches, algorithms, and software tools that are relevant to the Knowledge Graphs based research, especially when it is focused on a large scale. To this regard, interesting open issues include how Knowledge Graphs may be used to represent knowledge, how systems managing Knowledge Graphs work, and which applications may be provided on top of a Knowledge Graph, in the distributed.
Website: https://kgals3.unipa.it/
Organisers:
- Mariella Bonomo, University of Palermo (Italy)
- Simona E. Rombo, University of Palermo (Italy)
- Ylenia Galluzzo, University of Palermo (Italy)
MADEISD
Short description: For decades, in many, particularly complex organization systems, there is an open issue how to support information management process so as to produce useful knowledge and tangible business values from data being collected. One of the central roles in addressing this issue still play databases and information systems. In recent years, we are the witnesses of great movements in the area of business information management. Such movements are both of technological and methodological nature. By this, today we have a huge selection of various technologies, tools, and methods in data engineering as a discipline that helps in a support of the whole data life cycle in organization systems, as well as in information system design that supports the software process in data engineering. Despite that, one of the hot issues in practice is still how to effectively transform large amounts of daily collected operational data into the useful knowledge from the perspective of declared company goals, and how to set up the information design process aimed at production of effective software services in companies. It seems that nowadays we have great theoretical potentials for application of new and more effective approaches in data engineering and information system design. However, it is more likely that real deployment of such approaches in industry practice is far behind their theoretical potentials. The main goal of this workshop is to address open questions and real potentials for various applications of modern approaches and technologies in data engineering and information system design so as to develop and implement effective software services in a support of information management in various organization systems. We intend to address interdisciplinary character of a set of theories, methodologies, processes, architectures, and technologies in disciplines such as Data Engineering, Information System Design, Big Data, NoSQL Systems, Data Streams, Internet of Things, Cloud Systems, and Model Driven Approaches in a development of effective software services. We invite researchers from all over the world who will present their contributions, interdisciplinary approaches or case studies related to modern approaches in Data Engineering and Information System Design. We express an interest in gathering scientists and practitioners interested in applying these disciplines in industry sector, as well as public and government sectors, such as healthcare, education, public administration, or security services. Experts from all sectors and application domains are welcomed.
Website: https://madeisd.fon.bg.ac.rs/2024.html
Organisers:
- Ivan Luković, University of Belgrade, Faculty of Organizational Sciences (Serbia)
- Sonja Ristić, University of Novi Sad, Faculty of Technical Sciences (Serbia)
- Slavica Kordić, University of Novi Sad, Faculty of Technical Sciences (Serbia)
DOING
Short description: DOING workshop focuses on transforming data into information and then into knowledge. The idea is to gather researchers in NLP (Natural Language Processing), DB (Databases), and AI (Artificial Intelligence) to discuss two main problems : (1) how to extract information from textual data and represent it in knowledge bases; (2) how to propose intelligent methods for handling and maintaining these databases with new forms of requests, including efficient, flexible, and secure analysis mechanisms, adapted to the user, and with quality and privacy preservation guarantees. This workshop focuses on all aspects concerning these modern infrastructures, giving particular attention (but not limited to) to data related to health and environmental domains.
Website: https://www.univ-orleans.fr/lifo/evenements/doing/?page_id=1259
Organisers:
- Cristina Dutra de Aguiar, Universidade de São Paulo (São Carlos, Brazil)
- Mirian Halfeld Ferrari, Université d’Orléans (LIFO UR 4022, France)
- Carmem S. Hara, Universidade Federal do Paraná (Curitiba, Brazil)
PERS:
Short description: Recommender systems are present in our everyday lives when we read news, log in to social media, or buy something in an e-shop. Therefore, it is not surprising that this domain is receiving more and more attention from researchers in academia as well as industry practitioners. However, the way in which they approach the same problem differs significantly. User Modelling is somehow related to Recommender Systems, as it enables personalization, which is an essential aspect of novel recommendation techniques. Nonetheless, it is a broader topic that also encompasses user representation, personalized search, adaptive educational systems, and intelligent user interfaces.
Website: https://pers.lasd.pl
Organisers:
- Karpus, Aleksandra, Gdańsk University of Technology (Poland)
- Przybyłek, Adam, Gdańsk University of Technology (Poland)
