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A Review on Key Issues of Knowledge Fusion in View of Big Data
Tang Xiaobo, Zhu Juan
Libraly Journal. 2017, 36 (7): 10-16.
The paper reviews existing study on knowledge fusion against the backdrop of big data,summarizes research status, and points out future research direction. Through literature analysis, the paper presents the research status, framework, algorithm and application of traditional knowledge fusion, concluding with new needs of knowledge fusion in the times of big data. The research shows that the framework would emphasize more the knowledge cleaning, presentation and service; in terms of algorithm,the difference between information and knowledge should be considered; as for application, application across fields should be paid attention to.
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Compilation, Evaluation and Revision of Information Retrieval Self-efficacy Scale for College Students
Yu Ya’nan, Gu Ping, Huai Pan, He Xuefang
Libraly Journal. 2017, 36 (7): 44-51.
Objective: To develop information search self-efficacy scale for college students in China by evaluating statistical indexes such as reliability and validity of the preliminary information search self-efficacy scale. Methods: Firstly, we develop preliminary information search self-efficacy scale in accordance with the compile principle. We then assess 142 students against preliminary scale, revise the result, and form a final scale. 294 college students are analyze afterward. Results: The average popular rate of scale items is 0.43, around 0.50, whereas discrimination of each item reaches 0.4 or more. Factor analysis shows that six factors are consistent with the designed factors of scale. Cronbach’s alpha of scale is 0.819. In addition to the “environment” factor, reliability of each dimension is greater than 0.70.Conclusion: The college students’ information search self-efficacy scale features good reliability and validity.
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Crowdsourcing Text-building of Picture Resource in Digital Libraries
Fu Yuean
Libraly Journal. 2017, 36 (7): 60-65.
With the popularity of digital public libraries comes the important task of text-building of picture resource. This paper studies the issue of incorporating crowdsourcing into text-building. Firstly,professional evaluation should be carried out, and building strategies (e.g., transcription and proofreading) as well as implementation methods (e.g., text input, CAPTCHA, games) need to be considered. The text contributed by volunteers must be checked. This paper summarizes three ways of checking, namely, human checking, checking based on guessing, and consistency checking. At last, four measures for ensuring textbuilding quality are discussed.
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Checking and Discrimination of Thong Xi Ba Juan’s different editions
Cai Yingchun, Huang Liming
Libraly Journal. 2017, 36 (7): 89-102.
On the basis of thoroughly collecting all editions of Thong Xi Ba Juan that could be found at present, the writer investigated all editions’ directories, photocopies, institution and private collections,then carefully compared all edition forms and text contents, listed characteristics of each version, and judged them from different angles, which not only provides reliable evidence for research fellow to choose the edition they need, but also when checking current catalog results containing Thong Xi Ba Juan through comparing the catalog with real libraries collections, there are still various problems in catalog descriptions of Ba Juan Literature, which should be paid attention to by academic circles.
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