[Objective] Understanding concepts on IR of China Mainland researchers, and their attitudes, conditions and expectation for submitting and storing their research productions to IR. [Methods] Focusing on "submit role" users, the paper takes the researchers of educational & research institutions as survey object, obtains survey data from more than 1 500 researchers of 60 institutions by quota sampling method. And uses SPSS for reliability and validity analysis, and makes data analysis according to the survey objectives. [Results] Obtaining concepts on IR of China Mainland researchers, and their attitudes, conditions and expectation for submitting and storing their research productions to IR. Also, based on the data, discovering usage and concepts differences between research institutions and universities communities. [Limitations] There is small percentage of users from universities, and as far as the national scitifitic institutions and university communities, it needs more data to support the survey. The findings are just based on the survey data, they may not be applicable to a wider range of user groups. [Conclusions] The survey achieves its desired results, and according to the survey data, it brings out suggestions on promoting IR practice and enhancing IR applications.
[Objective] The article explores the features and shortcomings of several new typical open source Institutional Repository(IR) software including IR+, Zentity, Islandora and Hydra. [Methods] Reviewing relevant information, as well as local installation and testing of these software. [Results] It seems that each open source IR software has different system functions, service features, system architectures, scalabilities, etc. [Limitations] The article only makes a comparative analysis of some new typical open source IR software. [Conclusions] The study is conducive to learning excellent design concept of some open source IR software, moreover, it can provide a reference for how to select appropriate ones from IR open source software to establish an IR.
[Objective] To discusses the current status and future directions of Data Repositories (DR). [Methods] Using Databib data, this paper analyses the distributions of DR in terms of country, set-up time, academic field, organizational types, and openness, and then uses GenBank, Dryad, and Figshare to demonstrate DR services. [Results] The study reveals the increasing openness and constant service enrichment of DR, and great potentials in standardizations and integrations. [Conclusions] DRs are in full development, but there are strong needs for further research and application in research lifecycle based data management and open data standards and tools.
[Objective] This paper aims to analyze the Web navigation models based on information foraging theory. [Method] The paper compares the similarities of the foraging behavior of animals and navigation behavior of users, investigates the theory foundations of Web navigation models based on information foraging theory and analyzes the operating mechanism of SNIF-ACT series models. [Results] The Web navigation models based on information foraging theory describe users' cognitive characteristics under limited rational hypothesis and suboptimal decision situations. [Conclusion] The paper provides some suggestions so as to improve the application of these models in explaining and predicting users' Web navigation behavior.
[Objective] The authors improvecontent-based recommendation method through Fuzzy similarity-based collaborative filtering prediction and diversity selection algorithm to raise the recommendation quality. [Context] There are many successful applications of Content Based Recommender Systems (CB-RS).Recommendation diversity, representation of items as well as users' preference modeling are still critical parts in this field. [Methods] An effective collaborative Content-Based Filtering (CBF) is developed by introducing an item representation scheme, and measuring similarity based on the scheme, and fuzzy similarity measure and fuzzy-CF into the fuzzy-CBF with diversity, in order to improve content-based recommendation method. [Results] Experiment results show that the proposed hybrid scheme (fuzzy CF-CBF) is better than the other three popular schemes in Mean Absolute Error(MAE), coverage and diversity. [Conclusions] The proposed scheme improves the recommendation quality, while enhances the recommended diversity.
[Objective] Introduce the theory of social network analysis to solve the problem in implicit knowledge push service. [Context] The research is carried out by selecting the knowledge preference of logined users within 24 hours based on the digital library environment. [Methods] "N-cliques " and "centrality degree" are introduced to analyze the target users. Make the similar users' implicit knowledge requirement explicit and push knowledge to target users. [Results] The breadth and accuracy of implicit knowledge pushing performance is directly affected by parameter of "n", and the implicit knowledge pushed is of more granularity when the threshold is set to "2". [Conclusions] Our research solved the issue of extreme scarcity of pushing data and poor performance of users' implicit knowledge acquirement, promoting the share of implicit knowledge.
[Objective] The paper reveals the relationship between the knowledge base and database, and the double-base cooperates in the process of knowledge acquisition, to improve the speed, accuracy and cognitive autonomy. [Methods] The knowledge service-oriented model of knowledge base frame structure research is based on double-base cooperating. The research of this model focuses on the heuristic coordinator and interruptive coordinator, which their algorithms and collaborative effects are given for high efficiency knowledge service. [Results] The model of knowledge base frame structure on double-base cooperating is presented. In this model, the relation between knowledge base and database and their mapping relationship are given. Finally, double-base cooperating is achieved, and the process model is described. [Limitations] The data sources in double-base cooperating are considered as homogeneity, but other heterogeneous data sources and multidimensional data are not fully involved. [Conclusions] The knowledge base frame structure plays a supporting role, which reduces the search space and improves mining efficiency.
[Objective] The paper cards existing study about online product review spam, summarizes research status, and puts forward future research direction. [Coverage] Almost 50 papers at home and abroad are searched via review/opinion spam as keywords from CNKI and Google scholar. [Methods] By literature analysis, the concept of product review spam is defined. The research area that review spam study belongs to is specified and key issues and challenges are presented in the paper. [Results] Product review spam refers to the untruthful reviews written for the purpose of inflating or damaging given products excessively or low quality reviews not being able to provide any help to customers. Due to the lack of reliable ground truth label of fake/no-fake review data, the analysis for reviewers' behavior is highlighted since it can be employed to solve the problem of fake review identification effectively if being combined with the features of review contents. [Limitations] Further study should be conducted on the creditability analysis for product review spam combined with fake review identification. [Conclusions] Product review spam detection is a kind of application studies corresponding to review creditability. Not only the review content specific features but also reviewers corresponding features should be fully explored for fake reviews detection. Moreover, the features with significant impact on fake review identification need to be highlighted specifically with the consideration of independence of feature variables.
[Objective] Depending on "Special Reports about the Disputes between China and Philippines on Huangyan Island"on Sina, the study explores the situation and correlation of the disputes between China and Philippines on Huangyan Island. [Context] With the rapid development of the Internet, it has been the main carrier of reflecting social hot spot. The disputes between China and Philippines on Huangyan Island in 2012 is a typical events on public opinions. To obtain a comprehensive understanding of events, the study searches the public opinions of the events effectively and reasonably. [Methods] This study uses the methods of Web crawler to get the news data, employs text participle to obtain the elements of news and establishes database of the disputes of Huangyan Island. By using mathematical statistics and Gephi software, the study achieves data analysis. [Results] Changing processes of the situation in the disputes between China and Philippines on Huangyan Island can be divided into five stages. It accords with the lifecycle principle of network public sentiment emergency. The focus in the disputes between China and Philippines on Huangyan Island is similar, but the two sides focused on different measures. [Conclusions] This study is helpful to show a complete development process of the disputes between China and Philippines on Huangyan Island. Meanwhile, it also performs different measures and standpoints between China and Philippines on Huangyan Island.
[Objective] Improve the flexibility of users' permissions and task management in normative concepts collaborative construction platform of the super technological vocabulary. [Methods] The RABC model is adjusted to support flexible configuration between the user, role and permission, and the task state automatic transition by direct permissions setting and the introduction of resource work state. [Results] The model is divided into task creation, task distribution, concept processing, task auditing, task ends while the task runs through the entire business process so as to standardize the workflow. [Conclusions] System operation results show that it can quickly and efficiently distribute process and audit concepts, and realize flexible control of process and completion of collaborative work.
[Objective] The paper is to build an online standards information management and analysis platform based on faceted search engine Solr to meet standards information research requirements of the National Science Library, Chinese Academy of Sciences.[Context] It is the direction to improve efficiency in standards information research by using network platform to manage and analyze data.[Methods] The paper describes the system framework based on MVC multi-layer architecture, designs index fields to meet the demands for information analysis, emphasizing on the implementation of standards information retrieve, computing and analysis by using Solr's rapid indexing and faceted search. [Results] Large amounts of standard data are managed effectively, analyzed and visualized in the platform.[Conclusions] The system has been applied by the standards information analysis team, which can improve work efficiency greatly.
