Ontology-based annotation is one of the leading trends in the creation of metadata. It uses ontologies as vocabularies. Several languages and tools exist which support annotations of different types of media. Usually, such languages are tightly coupled with specific tools and they are able to describe only those features the tools are designed to manage. Furthermore, very few tools and languages (or none at all) support annotations of multiple media types or documents, or ontologies and annotations versioning, so they are not so useful in a collaborative infrastructure which aims to produce annotations of multimedia resources. In this work the main architecture and the language to create annotations of the Ontology-based VERsioned Framework for Annotation (OVerFA) are presented. How the framework allows for collaborative annotation of documents of different media types and how it is possible to exploit useful features in order to produce clear and complete ontology-based annotations are shown.
OVerFA: a collaborative framework for the semantic annotation of documents and websites
MOSCATO, Francesco;DI MARTINO, Beniamino;
2009-01-01
Abstract
Ontology-based annotation is one of the leading trends in the creation of metadata. It uses ontologies as vocabularies. Several languages and tools exist which support annotations of different types of media. Usually, such languages are tightly coupled with specific tools and they are able to describe only those features the tools are designed to manage. Furthermore, very few tools and languages (or none at all) support annotations of multiple media types or documents, or ontologies and annotations versioning, so they are not so useful in a collaborative infrastructure which aims to produce annotations of multimedia resources. In this work the main architecture and the language to create annotations of the Ontology-based VERsioned Framework for Annotation (OVerFA) are presented. How the framework allows for collaborative annotation of documents of different media types and how it is possible to exploit useful features in order to produce clear and complete ontology-based annotations are shown.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.