Towards a Semantic Annotation Software Design for Images and Texts

This paper presents the design of a semantic annotator for text and images, using standard design methodologies for both the requirements specification and the software design part (UML - Unified Modeling Language). The paper will emphasize the potential of such software and its importance in integrating the power of ontologies and semantics with annotations in a document. The association between the annotations of a document (or an image) with elements in ontology will allow not only an automatic classification of the content in it but will also enable a more exhaustive and effective search among the relationships between various documents. In addition, integrating the use of ontologies with all of their functionalities will make it possible to both have a complete and structured view of data, as well as inferred data production which will produce additional knowledge that will benefit various domains such as text analysis, intelligent search, and image processing.