Framework DataBase (FDB): A NoSQL Database Model for structured and semi-structured data
Prof. Evangelia Petraki
National and Kapodistrian University of Athens, Greece
Abstract: The massive collection of data that has been taking place in recent years, in multiple ways and at an unimaginably fast pace, has led to the need to store and retrieve information from both structured and semi-structured or unstructured data. While the relational database model is widely used and provides efficient ways to organize structured data, manage it, and search for information through SQL commands, it has limitations and is not a suitable model for organizing and storing semi-structured data or data that lacks structure. This paper briefly presents the FDB model, a NoSQL database model that provides flexibility in defining any database schema, overcomes the limitations of the relational database model, while at the same time offering the possibility of multilingual conceptual searches in the database data, utilizing the information derived by multilingual thesauri. This paper presents the architecture of the FDB model, the management and conceptual search algorithms, the process of converting a relational database schema to the corresponding FDB database schema, the advantages of the model, the ability to host semi-structured databases, as well as conclusions and future directions.
Brief Biography of the Speaker: https://en.econ.uoa.gr/staff/special_laboratory_teaching_staff/evangelia_petraki