AGENTS '97 Proceedings of the first international conference on Autonomous agents
Knowledge engineering: principles and methods
Data & Knowledge Engineering - Special jubilee issue: DKE 25
CREAM: creating relational metadata with a component-based, ontology-driven annotation framework
Proceedings of the 1st international conference on Knowledge capture
PlanetOnto: From News Publishing to Integrated Knowledge Management Support
IEEE Intelligent Systems
A Portrait of the Semantic Web in Action
IEEE Intelligent Systems
MnM: Ontology Driven Semi-automatic and Automatic Support for Semantic Markup
EKAW '02 Proceedings of the 13th International Conference on Knowledge Engineering and Knowledge Management. Ontologies and the Semantic Web
Semantic annotation of soccer videos: automatic highlights identification
Computer Vision and Image Understanding - Special isssue on video retrieval and summarization
Versioning Systems for Evolution Research
IWPSE '05 Proceedings of the Eighth International Workshop on Principles of Software Evolution
Semantic annotation, indexing, and retrieval
Web Semantics: Science, Services and Agents on the World Wide Web
International Journal of Web and Grid Services
An approach to semantic information retrieval based on natural language query understanding
ICWE'10 Proceedings of the 10th international conference on Current trends in web engineering
International Journal of Web and Grid Services
A framework for collective intelligence from internet Q&A documents
International Journal of Web and Grid Services
SABUMO: Towards a collaborative and semantic framework for knowledge sharing
Expert Systems with Applications: An International Journal
Image Recognition and Augmented Reality in Cultural Heritage Using OpenCV
Proceedings of International Conference on Advances in Mobile Computing & Multimedia
Hi-index | 0.00 |
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.