Ali Biranvand; Maryam Golshani; Faeze Delghandi
Abstract
Purpose: Considering that citation is one of the important criteria in measuring the relevance and impact of research publications, the current study examines the possibility of predicting the number of citations received by semantic web products through Citescore indicators. SNIP and SJR are publications ...
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Purpose: Considering that citation is one of the important criteria in measuring the relevance and impact of research publications, the current study examines the possibility of predicting the number of citations received by semantic web products through Citescore indicators. SNIP and SJR are publications in this field.Methodology: The present study is of a fundamental type that has been done in a descriptive manner with a scientometrics approach. The statistical population of this research includes 42,270 documents produced in the field of semantics that have been published by journals indexed in the Scopus database between 1960-2021. After the initial review, 10 titles of the seminary and semantic production journals that have published 15182 titles of scientific productions in this field were selected as a statistical sample. In order to investigate the relationships between research variables, the Pearson correlation coefficient test and multiple linear regression were used with the help of Excel and SPSS software.Results: According to (r = 0.860; p = 0.812) there is no correlation between the number of citations and the SNIP index. Also, there is no significant relationship between the number of citations with SJR (r = 0.580; p = 0.874) and the number of citations with Citescore (r = 0.480; p = 0.896). The results of multiple regression showed that none of the three indicators of cite score, SNIP, and SJR can predict the number of citations received in the Scopus database.Conclusion: There is no significant relationship between the indicators of cite score, SNIP,
Khadijeh Moradi
Abstract
Semantic Web as the third generation of the Web is due to greater interaction between humans and computers and attempts to understand the processing of information for the machine in order to establish relationships between Web pages in such a way as to represent meaning. Many Studies on and applications ...
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Semantic Web as the third generation of the Web is due to greater interaction between humans and computers and attempts to understand the processing of information for the machine in order to establish relationships between Web pages in such a way as to represent meaning. Many Studies on and applications of Semantic web show that the current semantic web is not semantic. The purpose of this study was to investigate giving meaning to weave through the application of theories such as the theory of conceptual spaces. The reason for using this theory is that it examines the representation of knowledge and semantic construction and is concerned with the making of meaning of words and using them in the context of conceptual space. This research is applied and analytical. The results showed that the Semantic Web, as an approach for the representation of knowledge, must explain knowledge cognition axis on its current structure and note the user, context and cognitive conditions, tools in understanding how structured and how the meaning of words in context by humans and put it in its own structure. Theory of conceptual spaces by having the geometric structure of concepts and relationships between them can be placed in different contexts and the formation of meanings in different textures with the consideration of the user's cognitive fields makes it possible to create retrieval related to what is in the user's mind. This research is one of the few studies carried out in the context of emphasizing the conceptual context in semantic web. In this research, attention has been paid to the context and its relationship with meaning, and the concept of conceptual spaces has been introduced as one of the strategies.
Mehdi Taheri; Nahid Gavili; Maryam Shekofte; Maryam Kazerani
Abstract
This study will discuss the context-oriented aspects in designing and creating a metadata application profile compatible with the native needs of related information environments and its impact on developing the semantic web in an analytical approach. In the first part of the paper, the concept of the ...
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This study will discuss the context-oriented aspects in designing and creating a metadata application profile compatible with the native needs of related information environments and its impact on developing the semantic web in an analytical approach. In the first part of the paper, the concept of the context and how the context will be established, and creating semantic based on the relationship among concepts in a special context emphasizing the semantic Web will be described. Then, the concept of the metadata application profile as the newest approach in creating metadata in information environments, and the context-oriented approach in designing this kind of profile aimed to meeting special native needs. The paper clarifies the position and the role of the metadata application profile in producing semantic in various information contexts as elements making the semantic web, and creating structured data (metadata) for describing and managing of the Web content objects. In the end, the paper will conclude the common approach in developing metadata application profiles and the semantic Web shows the positive impact and efficiency of metadata application profiles in developing the semantic Web.
