Michelle Dalmau, Randall Floyd, Dazhi Jiao and Jenn Riley
Seeks to share with digital library practitioners the development process of an online image collection that integrates the syndetic structure of a controlled vocabulary to…
Abstract
Purpose
Seeks to share with digital library practitioners the development process of an online image collection that integrates the syndetic structure of a controlled vocabulary to improve end‐user search and browse functionality.
Design/methodology/approach
Surveys controlled vocabulary structures and their utility for catalogers and end‐users. Reviews research literature and usability findings that informed the specifications for integration of the controlled vocabulary structure into search and browse functionality. Discusses database functions facilitating query expansion using a controlled vocabulary structure, and web application handling of user queries and results display. Concludes with a discussion of open‐source alternatives and reuse of database and application components in other environments.
Findings
Affirms that structured forms of browse and search can be successfully integrated into digital collections to significantly improve the user's discovery experience. Establishes ways in which the technologies used in implementing enhanced search and browse functionality can be abstracted to work in other digital collection environments.
Originality/value
Significant amounts of research on integrating thesauri structures into search and browse functionalities exist, but examples of online resources that have implemented this approach are few in comparison. The online image collection surveyed in this paper can serve as a model to other designers of digital library resources for integrating controlled vocabularies and metadata structures into more dynamic search and browse functionality for end‐users.
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Abstract
Purpose
The Internet of Things (IoT) has attracted a lot of attention in both industrial and academic fields for recent years. Artificial intelligence (AI) has developed rapidly in recent years as well. AI naturally combines with the Internet of Things in various ways, enabling big data applications, machine learning algorithms, deep learning, knowledge discovery, neural networks and other technologies. The purpose of this paper is to provide state of the art in AI powered IoT and study smart public services in China.
Design/methodology/approach
This paper reviewed the articles published on AI powered IoT from 2009 to 2018. Case study as a research method has been chosen.
Findings
The AI powered IoT has been found in the areas of smart cities, healthcare, intelligent manufacturing and so on. First, this study summarizes recent research on AI powered IoT systematically; and second, this study identifies key research topics related to the field and real-world applications.
Originality/value
This research is of importance and significance to both industrial and academic fields researchers who need to understand the current and future development of intelligence in IoT. To the best of authors’ knowledge, this is the first study to review the literature on AI powered IoT from 2009 to 2018. This is also the first literature review on AI powered IoT with a case study of smart public service in China.
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Weinan Zheng, Peng Xiao and Andrew Madden
Academic contention occurs when research evidence is amenable to more than one interpretation. China has a long tradition of Shang Que (商榷), in which authors argue for their…
Abstract
Purpose
Academic contention occurs when research evidence is amenable to more than one interpretation. China has a long tradition of Shang Que (商榷), in which authors argue for their preferred interpretation. The modern form of this tradition is the Shang Que article, which often takes the form of research papers in Chinese-language journals and which tends to be question-oriented. Shang Que articles usually take the views of a particular author or article as the focus of independent and complete criticism by another, independent, academic. This paper explains the role of Shang Que articles in Chinese scholarship and their influence on international academia.
Design/methodology/approach
A bibliometric analysis was used to explore the characteristics and evolution of Chinese Shang Que articles using 30,577 articles published between 1979 and 2018. Microsoft Excel and Gephi were used for data analysis and visualization.
Findings
Findings suggest a decline in the number of Shang Que articles and an increase in the number of co-authors. Shang Que articles remained particularly prominent in Philosophy and Humanities and Social Sciences, where they focused on local issues such as classical Chinese, the Sinicization of Marxism and Chinese literature. This suggests that the number of Shang Que articles is related to the degree of internationalization of a research field.
Originality/value
Shang Que articles, which have been influenced by academic paradigms in English, are a fusion of China's Shang Que tradition and of the modern academic system. Through considering Shang Que articles, this paper explores the benefits of local academic traditions in non-English-speaking cultures.