Semantically Structured VDL-Based Iconic Tags System
Abstract
Iconic tags system based on Visual Distinctive Language has been developed and assessed improving tagging effectiveness by considering tagging quality and tagging speed. This amelioration benefits from semiotic interpretation of tag meaning and graphical code of tag structure. To make in-depth research about this special iconic tags system, we study tags arrangement in this paper and hypothesized that semantically arranged iconic tags would imply better tagging results. A supplementary experiment was taken place by comparison between randomly and semantically arrangement method, which has validated our hypothesis.