In order to eliminate the ambiguity in semantic understandings during the retrieval of the users, as well as mining the relationship between the concept of agricultural knowledge, the association of knowledge among heterogeneous databases needs to be set up, which…

In the numerous agricultural information technologies, agricultural knowledge system has become an important part of the agricultural intelligent information technology (AIIT). This paper introduces the composition and working principle of the development tool for the binary tree-based knowledge system and…

Word semantic similarity is the foundation of semantic processing, and is a key issue in many applications. This paper argues that word semantic similarity should associate with domain knowledge, which traditional methods did not take into account. In order to…

According to the development trend of the act of China's current strategic alliance, this paper elaborates the reason why the success rate of strategic alliance is not high from game theory. The mathematical model based on prisoner's dilemma game and…

Knowledge reduction is one of the important research issues in rough set theory,which applies knowledge reduction theory to reduction the massive task sets in Gloud storage. Atfirst, an equivalence class evolved from subviews will be obtained after task update, Then,…

As the 750kV substation has the characteristics like timing inconsistency, dual protection configuration and uncertain diagnosis result, a fault diagnosis method of substation with redundant protection configuration based on time sequence fuzzy Petri nets is proposed. In this method, redundant…

Bioluminescence tomography is known as a highly ill-posed inverse problem. To improve the reconstruction performance by introducing anatomical structures as a priori knowledge, an automatic segmentation framework has been proposed in this paper to extract the mouse whole-body organs and…

Examination is undoubtedly one of good means to evaluate what and how much the examinees have mastered. Effective evaluation of the quality of curriculum examination will not only contribute to scientifically testing the students’ mastery of the knowledge but also…

Many complex systems can be described as networks to comprehend both the structure and the function. Community structure is one of the most important properties of complex networks. Detecting overlapping communities in networks have been more attention in recent years,…

Data scale becomes a bottleneck in user behaviors analysis, many data mining algorithms become Inefficient slow in this circumstances. This paper explores an effective approach to mine latent knowledge in large scale data, which combines the basal principles of association…