This paper presents the specification of a software platform where knowledge is associated to maps, through the organization and presentation of geo- and chronological-referenced multimedia contents, in such as a way that this association is automatically adaptive to different contexts (application areas) and to different typologies of users. The platform adaptivity has the purpose of reducing the information overload of the maps and of offering the user targeted navigation and search functions, tailored to his/her typology (e.g., domain expert, citizen, public administration operator, decision maker, stakeholder, etc.) and dependent on the loaded contents. To achieve this, we focus on the problem of selecting and aggregating the multimedia contents of the map, in a way that depends on the context and on the user. This reduction is obtained as a dynamic process, using a metamodel in the form of ontology of tags.

A Framework for Adaptive Context and User-Related Management of Multimedia Contents

Mariagrazia Fugini;Jacopo Finocchi;
2021-01-01

Abstract

This paper presents the specification of a software platform where knowledge is associated to maps, through the organization and presentation of geo- and chronological-referenced multimedia contents, in such as a way that this association is automatically adaptive to different contexts (application areas) and to different typologies of users. The platform adaptivity has the purpose of reducing the information overload of the maps and of offering the user targeted navigation and search functions, tailored to his/her typology (e.g., domain expert, citizen, public administration operator, decision maker, stakeholder, etc.) and dependent on the loaded contents. To achieve this, we focus on the problem of selecting and aggregating the multimedia contents of the map, in a way that depends on the context and on the user. This reduction is obtained as a dynamic process, using a metamodel in the form of ontology of tags.
2021
Software Architecture 15th European Conference, ECSA 2021, Virtual Event, Sweden, September 13-17, 2021, Proceedings
Georeferenced Data, Data Discovery, Map Enrichment, Context Adaptivity, Multimedia Content, Multimedia Tagging, Metadata Analysis.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1207801
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