CH and LOD are a challenging field of analysis. CH find in LOD an expressive way for describing complex oriented-domain objects. The purpose of this connection is double: create new knowledge and guarantee interconnection and interoperability. To create new knowledge means to produce datasets that follow new conceptual modelization as regards to the domain. To guarantee interconnection and interoperability means to dialogue with existent datasets at the level of both ontologies and controlled vocabularies. Three keywords describe our approach in this field: conversion, extraction, creation. These keywords represent three levels of our analysis: database conversion in datasets, extraction of datasets from annotated texts (XML/TEI), creation of new ontologies for exposing solid datasets. The CH domain is represented by: persons and related roles, ancient and modern places, books and archival documents. We are now working on different projects in order to develop best practices in datasets creation. The purpose of our project is to manage different use cases and heterogeneous data in order to create a common model to be applied in the CH domain.
F. Tomasi, F. Ciotti, M. Lana, D. Magro, S. Peroni, F. Vitali (2014). Methods and experiences in cultural heritage enhancement. W3C Italy.
Methods and experiences in cultural heritage enhancement
TOMASI, FRANCESCA;PERONI, SILVIO;VITALI, FABIO
2014
Abstract
CH and LOD are a challenging field of analysis. CH find in LOD an expressive way for describing complex oriented-domain objects. The purpose of this connection is double: create new knowledge and guarantee interconnection and interoperability. To create new knowledge means to produce datasets that follow new conceptual modelization as regards to the domain. To guarantee interconnection and interoperability means to dialogue with existent datasets at the level of both ontologies and controlled vocabularies. Three keywords describe our approach in this field: conversion, extraction, creation. These keywords represent three levels of our analysis: database conversion in datasets, extraction of datasets from annotated texts (XML/TEI), creation of new ontologies for exposing solid datasets. The CH domain is represented by: persons and related roles, ancient and modern places, books and archival documents. We are now working on different projects in order to develop best practices in datasets creation. The purpose of our project is to manage different use cases and heterogeneous data in order to create a common model to be applied in the CH domain.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.