The problem of data flooding is becoming more and more important, and it is necessary to find a way to access relevant information and to collect information and data from different data sources. In the field of cultural heritage, users need to be able to find and extract information from databases of specific contexts (paintings, inscriptions, churches, old coins, etc.). The problem is that each of these databases has a different data model. A project created to solve this problem is Europeana, which aims to bring together data from different providers (museums, libraries or other entities) in a single dataset. This paper aims to propose an architecture for a heterogeneous data sources system for the integration of structured/semi-structured data sources, enabling the information content to be more accessible and searchable for users. The data integration model proposed in this paper aims to exploit the method of “schema matching”, using ontology-based data integration techniques by automating the integration process.
Semantic enterprise service bus for cultural heritage
CAPODIECI, ANTONIO;MAINETTI, LUCA;
2016-01-01
Abstract
The problem of data flooding is becoming more and more important, and it is necessary to find a way to access relevant information and to collect information and data from different data sources. In the field of cultural heritage, users need to be able to find and extract information from databases of specific contexts (paintings, inscriptions, churches, old coins, etc.). The problem is that each of these databases has a different data model. A project created to solve this problem is Europeana, which aims to bring together data from different providers (museums, libraries or other entities) in a single dataset. This paper aims to propose an architecture for a heterogeneous data sources system for the integration of structured/semi-structured data sources, enabling the information content to be more accessible and searchable for users. The data integration model proposed in this paper aims to exploit the method of “schema matching”, using ontology-based data integration techniques by automating the integration process.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
