Talk on LiveData at the Сonference in Mongolia

On May 23, 2024, Simone Bocca from a DataScientia took part in the the 11th Mongolian Information Technology Conference MMT-2024 that took place in Ulaanbaatar.

The conference aimed to engage scholars and stakeholders to exchange knowledge in cyber security and data protection. It opened a call for scientific papers which were presented during the event. The conference aimed to discuss the challenges and perspectives of digital transformation in the information and communication fields in Mongolia.

Illustration: Data Scientia; Simone Bocca during his talk

Simone Bocca along with Amarsanaa Ganbold and Tsolmon Zundui were invited to participate and present their research paper ‘LiveData – A Worldwide Data Mesh for Stratified Data. A data distribution network architecture for high quality and interoperable data’ at the National University of Mongolia.

During the presentation, the researchers emphasised that data has multiple layers of diversity that can represent the wide range of knowledge in the world. However, its heterogeneity also makes it challenging to fully capture this diversity. To address this, they proposed using Diversity Aware Knowledge Graphs, which structure data into distinct layers.

Additionally, the researchers developed the iTelos methodology for creating these graphs, which reuses existing resources to reduce costs and promote a circular data economy. Lastly, Simone Bocca and Tsolmon Zundui encouraged the knowledge community to cooperate and use a diversity aware approach.

Abstract of the paper:

Data reuse is beneficial for integrating information into new applications, especially when data are scarce. However, it is limited by the data distribution infrastructures for producing and sharing high-quality, interoperable data. However, data reuse requires dealing with data heterogeneity, which is always present in data coming from different sources. This heterogeneity can occur in many contexts, such as differences in the languages used for the data, how the information is organised, and the types and formats of the datasets.

Another issue is the reuse of data across countries, where geographical and cultural differences are more distinct. In this paper, we propose LiveData, a cross-country data distribution network handling high-quality and diversity-aware data. It consists of different nodes that work together to create and share new types of data. Here, diversity in data serves as a useful feature to meet users’ needs. This paper explains how LiveData architecture and nodes of data types work. The system is being used in a project to share and integrate data between the University of Trento in Italy and the National University of Mongolia.

The research paper can be accessed through ICTFOCUS

Keywords: data reuse, diversity, knowledge graphs, research, circular data economy, diversity-aware data