期刊：
Proceedings of the 2012 5th International Conference on Business Intelligence and Financial Engineering, BIFE 2012,2012年:93-97
通讯作者：
Li, Qian
作者机构：
[Li, Qian; Chen, Ming] Cent China Normal Univ, Informat Management Dept, Wuhan 430079, Peoples R China.;[Zhang, Xuan] Zhejiang Police Coll, Publ Dept, Hangzhou 310053, Zhejiang, Peoples R China.
通讯机构：
[Li, Qian] C;Cent China Normal Univ, Informat Management Dept, Wuhan 430079, Peoples R China.
会议名称：
International Conference on Business Intelligence and Financial Engineering
会议时间：
2012-08-18
会议地点：
Lanzhou, Gansu, China
会议主办单位：
[Li, Qian;Chen, Ming] Cent China Normal Univ, Informat Management Dept, Wuhan 430079, Peoples R China.^[Zhang, Xuan] Zhejiang Police Coll, Publ Dept, Hangzhou 310053, Zhejiang, Peoples R China.^[Chen, Ming] Cent China Normal Univ, Informat Management Dept, Wuhan 430079, Peoples R China.
会议论文集名称：
2012 Fifth international conference on business Intelligence and financial engineering
关键词：
cloud computing;enterprise knowledge supply chain (EKSC);peripheral branches of the enterprise knowledge supply chain (PBEKSC);knowledge supply activity module (KSAM);micro-element of the knowledge supply chain (MEKSC)
摘要：
This paper first discusses the narrow and broad sense of the Knowledge Supply Chain (KSC) proposed by Chinese scholars, and based on this, advances the definition of the Enterprise Knowledge Supply Chain (EKSC). Then, the three problems needed to be solved in constructing the EKSC are put forward which include the ignorance of the peripheral branches of the Enterprise Knowledge Supply Chain (PBEKS), the identification and segmentation of knowledge users of the EKSC, and the high-level requirements of timely response of the EKSC. Meanwhile, the methods and thoughts of Cloud Computing are adopted to solve those problems and the effects which are favorable to the EKSC brought by the Cloud Computing are proposed. Those effects include encouraging enterprises to attach importance to the PBEKS, providing distributed storage and distributed computing capabilities, and substantial improvements in the communication and teamwork of the EKSC. By means of analogy, the design principles and design thoughts are put forward from analyzing the principles and operation mechanisms of the branching and convergence of the human body blood circulation system. According to the design principles and design thoughts, the overall structure design of the Cloud-computing-based EKSC and the detailed design of the resource structure of the Cloud-computing-based PBEKS are given.
作者机构：
[LI Xingxing] Department of Information Management, Huazhong Normal University, Wuhan 430079, China;[JIA Lufeng] Bureau of Fisheries Management of Yellow Sea and Bohai Sea Areas, Ministry of Agriculture Fishery Corps, Yantai 264119, China
通讯机构：
Department of Information Management, Huazhong Normal University, China
摘要：
Author cooperation relationship in scientific research is of great significance to resource sharing, exchange of ideas, knowledge dissemination, information acquisition, etc. In this paper, author cooperation relationship in knowledge management field has been deeply by the social network analysis (SNA). The characteristics and present situation and problems of the author cooperation have been revealed through building cooperation network diagram and analyzing network central, network density, small groups, in order to provide some inspiration for knowledge communication and policies making.
摘要：
This paper conducts a citation analysis of 2155 articles from 2002-2011 in Information Science using citespace to highlight developments and to identify possible gaps. The visualization analysis of keyword, cited reference, institution and cited journal reveals the research hotspots, development approaches, historical trends, highly productive institutions and top ranked journals in this discipline. In all, Information Science is a interdisciplinarity field and related reseach needs special attention to domain-specific knowledge.
摘要：
Cloud computing technology has become an irreversible trend and the exploration to it has become a research focus.This paper conducts an in-depth patent information analysis related to cloud computing in order to identify key research areas and applications.This paper highlights the importance of innovative design concept of cloud computing, emphasizes the significant function of derwent classification code in patent analysis and utilizes it as an equivalence for keyword in bibliometric analysis for patent intelligence a-nalysis subtly.In order to study key researches and applications of Cloud Computing, this paper conducts a research on bibliometric and visualization analysis of patent information on Cloud Computing.Finally, we finds out that cloud computing related technologies are mostly the product of cross-disciplinary development, mainly in digital computer; and also include telephone &data transmission system; alarm, signal, telemetry&.remote control; and broadcasting, wireless &-line transmission systems, etc..
作者机构：
[He Tingting] Cent China Normal Univ, Dept Comp Sci, Wuhan 430079, Peoples R China.;[Li Fang] Cent China Normal Univ, Engn & Res Ctr Informat Technol Educ, Wuhan 430079, Peoples R China.;[He Tingting; Li Fang] Natl Language Resources Monitoring & Res Ctr, Network Media Branch, Wuhan 430079, Peoples R China.
通讯机构：
[He Tingting] C;Cent China Normal Univ, Dept Comp Sci, Wuhan 430079, Peoples R China.
摘要：
This paper focuses on semantic knowledge acquisition from blogs with the proposed tagtopic model. The model extends the Latent Dirichlet Allocation (LDA) model by adding a tag layer between the document and the topic. Each document is represented by a mixture of tags; each tag is associated with a multinomial distribution over topics and each topic is associated with a multinomial distribution over words. After parameter estimation, the tags are used to describe the underlying topics. Thus the latent semantic knowledge within the topics could be represented explicitly. The tags are treated as concepts, and the top-TV words from the top topics are selected as related words of the concepts. Then PMI-IR is employed to compute the relatedness between each tag-word pair and noisy words with low correlation removed to improve the quality of the semantic knowledge. Experiment results show that the proposed method can effectively capture semantic knowledge, especially the polyseme and synonym.
作者机构：
[LI Qian; WU Qingyuan] Department of Information Management, Huazhong Normal University, Wuhan 430079, China
通讯机构：
Department of Information Management, Huazhong Normal University, China
会议名称：
第七届科学计量学与大学评价国际研讨会
会议时间：
2012-10-27
会议地点：
武汉
会议论文集名称：
第七届科学计量学与大学评价国际研讨会论文集
关键词：
Open Access;Statistical methods;Quantitative analysis;Time series;Research
摘要：
This article is based on the statistics from the database of CNKI. With Bibliometric and statistical methods the authors make a information analysis of research paper the issued in periodical during 2000~June. 1. 2012 about the aspects such as time distribution, journal distribution, author cooperation and keywords study, in the end of the paper, the authors summarized four points about the research situation of open access, providing suggestions to the development of Open Access in China.
作者机构：
[阎欣; 海峰; 丁灿] School of Economics and Management, Wuhan University, Wuhan 430072, China;[邵校] Department of Information and Management, Central China Normal University, Wuhan 430079, China
通讯机构：
School of Economics and Management, Wuhan University, China
期刊：
International Journal of Computer Applications in Technology,2012年44(2):137-144 ISSN：0952-8091
通讯作者：
Zhang, D.(zdbff@yahoo.com.cn)
作者机构：
[Jincai Yang; Caixia Chen; Yanan Li; Xianjun Shen] Department of Computer Science, Central China Normal University, Wuhan, China;[Dabin Zhang] Department of Information Management, Central China Normal University, Wuhan, China
通讯机构：
Department of Information Management, Central China Normal University, China
摘要：
Knapsack problem is a classical combinatorial optimisation problem. This paper presents greedy continuous particle swarm optimisation (GCPSO) algorithm to solve the knapsack problem. First, the greedy strategy is introduced into the process of particles' initialisation based on standard particle swarm optimisation (SPSO). This strategy guarantees the particle swarm has a better beginning in a degree. Second, based on the analysis of the characteristics of the knapsack problem's solution space, and in terms of the binary code in evolutionary computation, the paper presents multi-state coding. To some extent, the multi-state coding reduces the data redundancy when encoding the solution of the knapsack problem. In experiments, the authors used discrete particle swarm algorithm as well as continuous particle swarm algorithm to find solutions for the knapsack problem. The experimental results show that the GCPSO algorithm provides better solution for the knapsack problems.
