In order to help intelligence analyst to find out high valuable information from a large number of web resources, improve their efficiency of using network information. This paper proposes a new method for identifying intelligence value of information by object-based computing properties of knowledge objects and relations along them. During the research, there are three aspects. Firstly, by building intelligence attention model, the interest of information analyst and their prior domain knowledge is translated into machine-readable computable structure model. Secondly, identify the important objects of the web resource based on knowledge object grid. Using explicit concepts and their behavior reveal important intelligence clues inherent in the discourse. Lastly, the web resource released by DOE website is chosen as the experimental data, which verifies the important role of knowledge objects and relations along them in identifying intelligence value of information.