Subjects: Library Science，Information Science >> Library Science submitted time 2023-08-27 Cooperative journals: 《图书情报工作》
Abstract： [Purpose/significance] This paper explores the librarians' cognition of academic libraries' organizational climate and the influence factors of organizational climate, which can provide reference for constructing Chinese localized organizational climate assessment of libraries. [Method/process] Based on the questionnaire survey of librarians and the literature research, the article explores how the influence factors effect on libraries' organizational climate. On this basis, the influence factors system of libraries' organizational climate is formed. [Result/conclusion] The influence factors of libraries' organizational climate mainly include the internal environment of libraries, the social external environment, the nature of the library and the librarians' values and behavior. The result especially shows that Chinese traditional culture such as interpersonal harmony, collectivism, senses of hierarchy and the doctrine of the mean have positive or negative impacts on librarians. Besides, the paper shows that the importance of libraries' organizational climate construction has not been widely recognized, which should be strengthened.
Subjects: Library Science，Information Science >> Library Science submitted time 2023-08-26 Cooperative journals: 《图书情报工作》
Abstract： [Purpose/significance] Zhihu is a successful knowledge Q&A community. Its successful experience in value co-creation from the perspective of user participation is helpful for promoting the library knowledge service.[Method/process] The case analysis method was adopted in this paper. This research analyzed the user development path from three aspects-the initial stage strategy, the expansion phase strategy and the user viscous retention strategy. This research also analyzed the user participation mechanism of Zhihu from three aspects-the user participation in question editing, the user participation in the content quality evaluation and the user participation in the knowledge transmission.[Result/conclusion] The enlightenment of Zhihu case to the library knowledge service can be summed up in three aspects-understanding the value of users in the library knowledge service and developing the "lead user", paying attention to the user guidance mechanism to create a good atmosphere of participation, improving user experience and optimizing the library knowledge service platform.
Subjects: Library Science，Information Science >> Information Science submitted time 2023-04-01 Cooperative journals: 《图书情报工作》
Abstract： [Purpose/significance] In the context of the rapid development of humanistic computing, this paper uses text mining technology to cluster Zuo Zhuan, which provides a reference for quantitative analysis such as topic mining in Spring and Autumn Period, and has a certain reference significance for multi-dimensional reorganization and analysis of classical texts. [Method/process] This paper uses text clustering method to analyze Zuo Zhuan quantitatively in many dimensions, breaking the linear and chronological record order of Zuo Zhuan. Firstly, using the word matching algorithm, the corpus of each vassal state is obtained from the characteristic words of Zuo Zhuan. Then the LDA topic model is used to process the characteristic words of Zuo Zhuan and the corpuses of selected vassal states. Finally, the topic strength calculation is performed in combination with the time information. [Result/conclusion] The experimental results show that the development of the Spring and Autumn Society and the vassal states can be explored according to the theme-word distribution. The development trend of the Spring and Autumn Society and various vassal states can be summarized through the theme intensity curve. Through the LDA topic clustering method, the development of war, politics and diplomacy in the whole society and different vassal states in the Spring and Autumn Period is finally revealed.
Subjects: Library Science，Information Science >> Information Science submitted time 2023-04-01 Cooperative journals: 《图书情报工作》
Abstract： [Purpose/significance] This paper conducts research about the war incidents in Zuo Zhuan, it has important reference value for the study of pre-Qin history and Chinese culture. [Method/process] It constructs the basic framework system of the war incident in Zuo Zhuan based on the framework theory, uses the pattern matching method to identify the war sentence, selects the conditional random field model, and combines the feature template to identify and extract seven named entities, such as war time and warring parties. Finally, based on the obtained structured data, the war events are analyzed and visualized. [Result/conclusion] The research results show that the CRF model can be applied to the extraction of war events in Zuo Zhuan; the feature selection affects the results of entity recognition; about specific content, Jin, Chu, Qi, Zheng and other countries participated in the war more frequently. Jin was the main attacker. Zheng was the main defender during the Spring and Autumn Period.
Subjects: Library Science，Information Science >> Information Science submitted time 2023-04-01 Cooperative journals: 《图书情报工作》
Abstract： [Purpose/significance] It is very helpful to build semantic ontology of Chinese ancient books for texting mining and text analysis of China history. However, there are lots of differences between ancient and modern Chinese in syntactic structure. The difference makes a lot of difficulties in Ontology Building of Chinese ancient books. [Method/process] This paper focused on ontology building methods of ancient Chinese books based on Natural language processing (NLP) technique. We designed the ontology model based on CIDOC CRM which is an international standard for the description of cultural heritages. Then we gave a solution to extract instances of the ontology automatically which is a hybrid method of regulation extraction and CRFs recognition based on the syntactic structure of Chinese ancient books. At last, we did an examination using one of Chinese ancient books called Zuo Zhuan. [Result/conclusion] The experiment results show that our method can improve the extraction precision of Ontology instances, which can enhance the efficiency of ontology construction from Chinese ancient books. This paper got 93% F-score on the testing of regular-based method, and 82.51% F-score on CRFs method using the best feature template. It also finds that it is important to use the characters of the position and part-of-speech of words to enhance the extraction of ontology instances in our methods.
Subjects: Library Science，Information Science >> Information Science submitted time 2023-04-01 Cooperative journals: 《图书情报工作》
Abstract： [Purpose/significance] This paper focuses on the development of semantic organization of cultural heritage has important reference value for the study of cultural heritage in China. [Method/process] This paper adopted the method of systematic research, case analysis and statistical analysis,based on the survey data summaries,combed the research status of semantic organization of cultural heritage projects from semantic organizations and knowledge services and tools, and analyzed the key technologies of semantic organization of cultural heritage from 3 aspects: knowledge modeling, knowledge extraction, knowledge mining and knowledge utilization. [Result/conclusion] The research finds the keys to the development of semantic organization of cultural heritage are data interoperability, domain ontology standardization, personalized semantics, automation tools, data copyright.
Subjects: Library Science，Information Science >> Information Science submitted time 2023-04-01 Cooperative journals: 《图书情报工作》
Abstract： [Purpose/significance] To find the solutions of automatically identifying search query intent and improve the efficiency of academic search engines. [Method/process] Combining the features of query intent and academic search, we constructed the feature from four aspects, which are the basic descriptive statistics, the special keywords, entity information and the frequency. For the experiments, we examined four types of classifiers which are the Naive Bayes, Logistic regression, SVM, Random Forest and calculated precision, recall and F-measure. A method which is extending the recognition results of academic query intent predicted by Logistic regression algorithm to large-scale data sets and extracting "keyword type" features is proposed to construct a two-layer classifier based on deep learning algorithm for academic query intent recognition. [Result/conclusion] The macro-average F1 value of the two-layer classifier is 0.651, which is superior to other algorithms. This method can effectively balance the precision and recall rate of different academic query intentions. The final second-layer prediction model receives the best classification performance, the score of F1 is 0.783.
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