Abstract This article proposes a terminological approach to understanding the dynamics of the development of scientific topics based on the analysis of the sharing of key terms, which is the basis for the development of an algorithm for the distribution of scientific topics into categories: actively developing topics; topics that are in a stable state; topics that are losing relevance or... This article proposes a terminological approach to understanding the dynamics of the development of scientific topics based on the analysis of the sharing of key terms, which is the basis for the development of an algorithm for the distribution of scientific topics into categories: actively developing topics; topics that are in a stable state; topics that are losing relevance or fading away. A hypothesis is proposed that the more keywords with dynamics, greater than 0% in the topic, the higher the probability that this topic is promising and is actively developing. Conversely, the more essential terms in a topic with negative dynamics, the more likely it will indicate the researcher’s interest decreases. The subject area Immunology & Microbiology in SciVal was chosen as a model for studying the dynamics of the development of scientific areas. We assume that if a critical term reduces its usage in one topic, it may appear and grow in other ones. The relevance of various vital terms changes over time for different topics, both in negative and positive dynamics. Using the example of the term “Bibliometric analysis,” the dynamics of this crucial term in other topics are shown. Read More Read Less

Abstract The following article attempts to clarify knowledge quanta in knowledge systems and semantic networks to propose information quanta as a novel context in the structural analysis of ontologies, which could be utilized as a basis for developing ontology evaluation metrics and measures. Identifying information quanta in ontologies could play an influential role in establishing and creating a new context in... The following article attempts to clarify knowledge quanta in knowledge systems and semantic networks to propose information quanta as a novel context in the structural analysis of ontologies, which could be utilized as a basis for developing ontology evaluation metrics and measures. Identifying information quanta in ontologies could play an influential role in establishing and creating a new context in the structural analysis of ontologies by proposing, developing, and applying new metrics and criteria for measurement of the mentioned quantum elements (i.e., ontology data). Identifying information quantum in knowledge organization systems (KOS), especially ontologies, needs to rely on some theoretical foundations to facilitate the explanation of the subject. Here, two fundamental theories of the knowledge quanta, the Quantum Theory of Knowledge (QTK) created by Burgin (1995; 1997; 2004) and the Semantic Link Network Theory (SLNT) developed by Zhuge (2004; 2010; 2012), are explained to shine a light on information quantum in ontologies. Read More Read Less

Abstract In the last two decades, the digital library has emerged as a major platform for learning and information access. The important elements in the digital library includes the collaboration and the social elements. Academic Libraries are the important reflection of the developments in digital library and offer numerous benefits that help the universities. The use of digital library has leads... In the last two decades, the digital library has emerged as a major platform for learning and information access. The important elements in the digital library includes the collaboration and the social elements. Academic Libraries are the important reflection of the developments in digital library and offer numerous benefits that help the universities. The use of digital library has leads to the deployment of information system and these digital libraries serve as the important forum for study and research. Digital libraries if confine the search to a simple one, then the users may not satisfy with the services of digital libraries. The digital libraries now become major passive and not much structured for which ontologies play an important role. Personalization can help to build more user oriented systems and it will help to improve the user satisfaction. Read More Read Less

Abstract 2019 novel coronavirus infection (COVID-19) causes severe viral pneumonia in people, known to have a high death rate and a similitude in clinical indications with severe acute respiratory syndrome coronavirus. This investigation intended to study the attributes of distributions in early COVID-19 research through bibliometric analysis. The PubMed database was searched on 07th February 2020 for COVID-19 distributions published from... 2019 novel coronavirus infection (COVID-19) causes severe viral pneumonia in people, known to have a high death rate and a similitude in clinical indications with severe acute respiratory syndrome coronavirus. This investigation intended to study the attributes of distributions in early COVID-19 research through bibliometric analysis. The PubMed database was searched on 07th February 2020 for COVID-19 distributions published from 01st December 2019 to 06th February 2020. Investigation parameters incorporate the year of production, distribution type, examples of universal coordinated effort, and research organizations. An aggregate of 62 COVID-19 research distributions was distributed during the examination time frame. The exploration works were broadcast from 13 nations, demonstrating the global noteworthiness of coronavirus episodes. The USA was the most prominent supporter, with 24 articles distributed over two months and six days, trailed by England (11 articles). Aftereffects of the investigation will bear some significance with understudies, specialists, curators, and data science experts and will fill in as a pattern for resulting examinations. Read More Read Less