RADAR, A FRAMEWORK FOR AUTOMATED REPORTING
| Autor: | Nicola Cortesi, Ada Maria Antonia Piazzini Albani, Giuseppe Psaila, Amir Topalović |
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| Rok vydání: | 2019 |
| Předmět: |
Data Integration
Source data Information retrieval Computer science Automation of Services IT Services Knowledge Representation Data dictionary law.invention Application domain law Schema (psychology) Information system Radar Settore ING-INF/05 - Sistemi di Elaborazione delle Informazioni Operational data store |
| Zdroj: | Proceedings of the 16th International Conference on Applied Computing 2019. |
| DOI: | 10.33965/ac2019_201912l007 |
| Popis: | Large companies and organizations periodically feed their information systems with large data flows. Apart from the classical operational activities, they are called to prepare aggregated reports to send to institutions and rating agencies. Unfortunately, organizations typically suffer for the lack of integrated data and for the lack of a standard data dictionary. The presented approach aims to tackle such a problem by building a bridge between employees that need to specify how to generate reports (on the basis of concepts and terms typical of the application domain) and the information system that stores the data to query and aggregate in order to automatically produce reports. The implemented framework, RADAR (Rich Advanced Design Approach for Reporting), moves from the notion of Operational Data Store, and it is posed in the middle between an ontology (of concepts and terms) and the actual operational (and relational) schema of source data. Then, in the defined schema allows for giving a high-level view of such source data, based on concepts described in the ontology for a specific application domain. |
| Databáze: | OpenAIRE |
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