Personal information management based on semantic technologies

Due to the development of new technologies (digital cameras, smart phones, new data formats, etc.) people are led to deal with an increasing amount of information. Moreover, the advent of the web as a main distribution channel imposes to manage heterogeneous types of data and to deal with the issue of finding efficiently the pertinent information becomes more and more important. Several approaches such as semantic annotation, data mining, virtual and interactive visualizations are nowadays available to address these specific issues. However, so far, they have not been jointly exploited in order to take advantage of their respective strong points. In this paper we introduces a novel approach that combines semantic annotation, data mining, virtual queries and interactive visualization techniques aiming to provide the user with a personal information manager capable of dealing with heterogeneous database formats (relational, semantic, etc.). As a proof of the concept and its feasibility, in this paper we present a first prototype of the framework Memoria-Mea, that integrates these different approaches.