Using ISO and Semantic Web Standard for Building a Multilingual Terminology e-Dictionary: A use case of Chinese Ceramic Vases
In the following, we will introduce a new tool: a multilingual terminology e-Dictionary.
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In the following, we will introduce a new tool: a multilingual terminology e-Dictionary.
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We investigate how perceived serendipity was influenced by different tag presentation formats and the participants’ openness to experience in a controlled environment.
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By analyzing over 7.7 million teams from Science (e.g., Computer Science, Physics), Social Sciences (e.g., Sociology, Library & Information Science), and Arts & Humanities (e.g., Art), we find that flat team structure is associated with higher team impact.
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As a discipline with solid multidisciplinary elements, there are numerous approaches to developing data science teaching methods and curricula, with a general emphasis on computation or statistics.
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Techniques for uncovering who’s behind anonymous identities, and unmasking forged ones, are known as “Authorship Identification” (AID, for short), which are part of the field of “Authorship Analysis”, whose goal is to infer characteristics (such as the gender, the age, or the native language) of the authors of written documents.
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Research shows that the domain of serious leisure is a productive realm to promote eudaimonic well-being.
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Numerous observations and calculations have highlighted a harsh reality: as incredibly useful and important as the models are, they are imperfect tools, sensitive to the data used and the assumptions on which they are based.
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We fully explore the complementarity of different actors’ contributions to the knowledge community from an immersive perspective.
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Little is known about how pandemics alter travelers’ evaluations of hospitality services. Hospitality practice needs directions in organizing its priorities during acute pandemic situations and adjusting to possibly longer-lasting shifts in consumer preferences.
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In China, there is an emerging class of online celebrities known as “Knowledge Wanghong” who focuses specifically on knowledge-intensive content.
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