451 The Rise of Intelligence Studies in the Age of Big Data Su Xinning DOI: 10.3772/j.issn.1000-0135.2018.05.001 This article briefly reviews the history and background of the development of intelligence studies, analyzes its characteristics and the existing problems in its development, and clarifies some of the confusion in its development. Moreover, it indicates that big data has brought opportunities for the development of intelligence studies. This development should undertake its historical mission and social responsibility following the strategy of national security and development. Therefore, this article puts forward some thoughts on the rise of intelligence studies: constructing intelligence studies for civil-military integration, training those intelligence professionals of “Detector, Scout, Consultant, and Leader” categories who meet the needs of national security and development, reforming the intelligence studies education system and incubating the innovative models, keeping the research focus on intelligence technology, and promoting the integration of intelligence studies and practice under the guidance of “national security is a matter of prime importance”. 2018 Vol. 37 (5): 451-459 [Abstract] ( 299 ) HTML (1 KB)  PDF (388 KB)  ( 1025 )

460 Stepping into Modern Intelligence Studies Yang Guoli, Su Xinning DOI: 10.3772/j.issn.1000-0135.2018.05.002 This study proposes the basic strategies of intelligence integration for Chinese information science, including those on intelligence knowledge systems, core problem domain, and hierarchical classification of the information education system. This paper explored the construction of intelligence research and work systems, and proposed the integration of military intelligence and science and technology intelligence to promote the “big intelligence views” practice. Meanwhile, research on intelligence history are also proposed. Moreover, this study aims to conceive the future of development of information science, to enable smart science that is beyond information science and data science,interdisciplinary science that acts as a “guide” and “think tank,” and mass science for the interest of the government, general public, and other organizations and companies. 2018 Vol. 37 (5): 460-466 [Abstract] ( 239 ) HTML (1 KB)  PDF (376 KB)  ( 695 )

467 Big-Data-Oriented Intelligence Analysis Framework Tang Mingwei, Su Xinning, Xiao Lianjie DOI: 10.3772/j.issn.1000-0135.2018.05.003 This study analyzes the challenges and opportunities faced by intelligence studies in the era of big data and then organizes the status and future trends of current intelligence studies at home and abroad. It analyzes the challenges that information work faces in the big data era, arranges the big-data-oriented intelligence theories and methods, and sorts the theories and methods based on the general working process of intelligence studies. Next, according to the calculation characteristics and methods of big data, this study builds the big-data-oriented intelligence analysis framework from the overall architecture, functions, and implementation methods and verifies the framework’s validity by a keyword count experiment on the Spark platform. The study finally discusses some regulation problems of constructing the framework in diversified industries. The framework provides not only the basic query but also the decision service invocation driven by these theories and methods. The details required to build this framework could provide implementation guidance for the practical use of intelligence theories and methods in the big data environment. 2018 Vol. 37 (5): 467-476 [Abstract] ( 409 ) HTML (1 KB)  PDF (742 KB)  ( 1116 )

477 Review of the Development of Military Intelligence Studies in China Gao Jinhu DOI: 10.3772/j.issn.1000-0135.2018.05.004 This thesis gives suggestions on the development of China’s military intelligence theory based on a detailed analysis of the current studies of the discipline. It reviews studies on intelligence history, basic theories, and application theories, prior to comments on the status quo. To achieve effective countermeasures against challenges in intelligence analysis, this thesis calls for the reconstruction of a more positive intelligence culture, innovative basic theories, renewed methods and a central position for analysis, and new modes and methodologies of analysis such as structured analytic techniques. 2018 Vol. 37 (5): 477-485 [Abstract] ( 522 ) HTML (1 KB)  PDF (402 KB)  ( 2087 )

486 Alternative or Complementary Relationship between Usage Data and Citation Data Xie Juan, Gong Kaile, Cheng Ying, Ke Qing DOI: 10.3772/j.issn.1000-0135.2018.05.005 The development of digital publishing has accelerated the process of scholarly communication and changed communication models. Originating from digital publishing, usage data bring new opportunities to Scientometrics. Research shows that usage data can be a prediction, an alternative, or a complement to citations. In order to detect the essence of usage data as well as their feasibility and applicability for scientific evaluation, this study takes Library and Information Science as an example and uses the usage count and citation data from the Web of Science. The correlation between usage and citation has been analyzed, together with the moderating effects of quality, document type, and subfield. The following two points are revealed: first, from the viewpoint of scholarly dissemination, usage data can be both an alternative and complementary to citation as components of the scientific communication system and because of their high correlation. Second, from the viewpoint of scientific evaluation, it is difficult to verify that usage data can be an alternative to citation as an indicator of quality. 2018 Vol. 37 (5): 486-494 [Abstract] ( 236 ) HTML (1 KB)  PDF (486 KB)  ( 680 )

495 Patent Co-classification Based on Key Technology Identification and Research on Technology Development Mode Li Ruixi, Chen Xiangdong DOI: 10.3772/j.issn.1000-0135.2018.05.006 On the basis of the co-classification data of invention patents in 35 technical fields granted in mainland China, an asymmetric technology knowledge flow network was constructed according to the main and supplementary international patent classifications. With the methods of centrality, structural hole, and intermediary analysis, the technology association structure, core technology, intermediary technology, and emerging technology in the technology-related network were identified. The results found that technical areas are frequently linked, creating a more mature network of core technology that stimulates other emerging technology areas. The entire technology field network consists of three types of intermediary roles—representative, consultant, and liaison—which is characterized by basic communication processes (BCP), mechanical elements (MEE), and digital communication (DIG). Through the important intermediarity and integration of chemical, mechanical engineering, and electrical engineering areas, the five major technical areas can achieve coordinated development. 2018 Vol. 37 (5): 495-502 [Abstract] ( 346 ) HTML (1 KB)  PDF (320 KB)  ( 747 )

503 Analysis of Time-Sequence Coupling of Corporate Dual Public Opinion in Social Network Xu Yuan, Liang Xun, Cheng Hengchao, Zhang Shusen DOI: 10.3772/j.issn.1000-0135.2018.05.007 The rise of the social network has changed the way of the information transmitted, and has affected the spread of the enterprises’ network public opinion. Due to the widespread use of the social network, the content of corporate communication is more complex, and the corporate public opinion is facing lots of pressure and challenges. Enterprises also need to modernize the methods of public opinion management. In this paper, we focus on the time-sequence coupling of dual public opinion of the Wei Zexi and Lei Yang event cases and combine other 5 coupling of dual public opinion cases. Three methods of coupling effects are analyzed in detail: suppression, promotion, and independence. We analyze the influence of each character in the public opinion propagation process from the perspective of the Internet users as well as the enterprises. Finally, we provide suggestions on the corporate public opinion management. 2018 Vol. 37 (5): 503-511 [Abstract] ( 235 ) HTML (1 KB)  PDF (681 KB)  ( 608 )

512 Study on Classification of Patents Collaborative Filtering Oriented to TRIZ Hu Xuegang, Yang Hengyu, Lin Yaojin, Bao Yanwei DOI: 10.3772/j.issn.1000-0135.2018.05.008 With increasing applications and attention to patents, the study of patent classification has attracted wide attention. As an important technology of recommendation systems, collaborative filtering technology is widely used in the field of Internet data mining, and has the characteristics of simplicity and efficiency. In this paper, a patent TRIZ classification method based on collaborative filtering (TRIZ-CF) is proposed based on the idea that patent inventors use similar methods to solve similar problems. First, the method quantifies the patent text. Second, a patent scoring matrix is constructed. Finally, unclassified patents are classified by the calculated ranking scores. Experimental results show that the proposed method can improve classification accuracy compared to SVM (Support Vector Machine) and efficiency and can be effectively applied to TRIZ-CF. 2018 Vol. 37 (5): 512-518 [Abstract] ( 195 ) HTML (1 KB)  PDF (401 KB)  ( 518 )

519 Analysis of the Relationship between the Motivation for User Participation and Participation Behavior in Knowledge WeChat Community Based on Structural Equations Song Zhenchao DOI: 10.3772/j.issn.1000-0135.2018.05.009 With the continuous development of the WeChat social platform, the knowledge-based WeChat community has become a new medium for learning and interaction among individuals. Based on self-determination, self-efficacy, achievement motivation, and self-value orientation theories, structural equations were used in this study to empirically analyze the relationship between user motivation for participation and participation behaviors involved in the knowledge-based WeChat community and master their relevance. As such, we plan to provide a guarantee for the healthy development of the WeChat community. 2018 Vol. 37 (5): 519-523 [Abstract] ( 183 ) HTML (1 KB)  PDF (362 KB)  ( 655 )

524 Mapping and Migration of Medical and Health Big Data with SNOMED CT Chen Donghua, Zhang Runtong, Fu Lei, Shang Xiaopu, Zhu Xiaomin DOI: 10.3772/j.issn.1000-0135.2018.05.010 This paper reports the application of the core system of Systematized Nomenclature of Medicine—Clinical Terms (SNOMED CT) to the analyzing process of medical and health big data, and proposes a mapping and migration approach through SNOMED CT. The system provides reference of relevant processes, models, and algorithms to analyze medical and health big data effectively. First, the implicit relationships between the data and SNOMED CT are analyzed. Then, through the use of the SNOMED CT, four stages in our method are illustrated; evaluating the mapping requirement, establishing the mapping model, verifying the model, and maintaining the model. Finally, we use a real mapping case of big data to demonstrate the feasibility of the proposed method. By examining the complex medical concepts and their semantic relationship set in SNOMED CT, our proposed method promotes deeper mining of knowledge from existing medical and health big data, which holds great significance for the development of medical informatics. 2018 Vol. 37 (5): 524-532 [Abstract] ( 279 ) HTML (1 KB)  PDF (1225 KB)  ( 794 )

533 Theme Analysis Based on Keyword Importance and Affinity Propagation Clustering Li Hailin, Wan Xiaoji, Lin Chunpei DOI: 10.3772/j.issn.1000-0135.2018.05.011 In view of the fact that co-occurrence analysis lacks consideration of keyword importance and theme analysis in such a way that it does not adaptively extract the core themes in traditional scientific measurement methods, this paper proposes a theme analysis method based on keyword importance and affinity propagation clustering. Based on probable behavior of most authors, the method collects the keywords of theses according to the strength or weakness of the relevance to the corresponding research content, computes the importance measure of the keywords in the papers, and constructs the similarity matrix of the keywords. The extraction and analysis of the core theme is achieved through combining the method with affinity propagation clustering that can retrieve the best representative member of the cluster. In this study, the keywords in a specialized journal of literature and information during the period of 2012 to 2016 were collected, and keyword clustering based on importance measurement was implemented. The evolutionary trends of keywords and core themes were analyzed and studied. The method proposed in this study not only considers the keyword importance and automatically identifies core themes, but also provides new data mining methods for thematic document analysis and effectively improves the topic recognition effect in related fields such as journals and other disciplines. 2018 Vol. 37 (5): 533-542 [Abstract] ( 164 ) HTML (1 KB)  PDF (985 KB)  ( 811 )

543 Review and Reflections on 30 Years of Progress of Information Science Foundation (1987-2017) Wang Lin DOI: 10.3772/j.issn.1000-0135.2018.05.012 Research on the theoretical foundations of information science has experienced significant changes owing to the new information infrastructure. This paper reviews the progress of information science theories spanning 30 years (1987-2017). It indicates the evolution of the research object of information science from document to information and then to knowledge. It discusses the debate about the nature of the research object “Qingbao” (information) and the related knowledge view. Moreover, it explores the metatheories of information science from the perspective of philosophy. It also systematically elucidates the theoretical core of information science and the progress and problems of theoretical system construction in information science. 2018 Vol. 37 (5): 543-560 [Abstract] ( 279 ) HTML (1 KB)  PDF (500 KB)  ( 1158 )