This paper deals with research in the area of a novel imaging approach of web documents based on semantic inclusion of textual and non-textual informations. The min idea wes to create a robust method for relevant display results into search enging based on sear by keywords or images. Thus, we proposed method called Semantic Inclcusion of Images and Textual (SIIT) segments. The output SIIT method is short web document. It c Ontains image and textual segments, which are semantic linked. Creation of short web document to possible three shree steps was divided. Firstly, the all images and textual segments from min content web docment were exracted. Secondly, extraction images were analyzed in order to obtain of semantic description objects into image. Finally, linked images and textual segments using linguistic analysis.