Automatic partitioning of full-motion video
Multimedia Systems
The XML Companion
Multidimensional Indexing for Recognizing Visual Shapes
IEEE Transactions on Pattern Analysis and Machine Intelligence
Querying Heterogeneous Information Sources Using Source Descriptions
VLDB '96 Proceedings of the 22th International Conference on Very Large Data Bases
Structuring and Retrieval of the Complex Predicate Arguments Proper to the NKRL Conceptual Language
ISMIS '96 Proceedings of the 9th International Symposium on Foundations of Intelligent Systems
CONCERTO, An Environment for the 'Intelligent' Indexing, Querying and Retrieval of Digital Documents
ISMIS '99 Proceedings of the 11th International Symposium on Foundations of Intelligent Systems
NKRL, a knowledge representation tool for encoding the ‘meaning’ of complex narrative texts
Natural Language Engineering
| Hi-index | 0.00 |
Metadata represent the vehicle by which digital documents can be efficiently indexed and retrieved. The need for such kind of information is particularly evident in multimedia digital libraries, which store documents dealing with different types of media (text, images, sound, video). In this context, a relevant metadata function consists in superimposing some sort of conceptual organization over the unstructured information space proper to these digital repositories, in order to facilitate the intelligent retrieval of the original documents. To this purpose, the usage of conceptual annotations seems quite promising. In this paper, we propose a two-steps annotation approach by which conceptual annotations, represented in NKRL (Narrative Knowledge Representation Language) [7,8], are associated with multimedia documents and used during retrieval operations. We then present how documents and metadata can be stored and managed on persistent storage.