Seyedeh Sara Moosavi; Sepideh Ciruskabiri; Ahmadreza Varnaseri
Abstract
This study aims to create an integrated metadata system to organize information and content knowledge of Iranian websites to protect, represent, access, retrieve and provide a suitable metadata model for archiving such resources in the country. This applied research was done by a documentary (library) ...
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This study aims to create an integrated metadata system to organize information and content knowledge of Iranian websites to protect, represent, access, retrieve and provide a suitable metadata model for archiving such resources in the country. This applied research was done by a documentary (library) and a survey method. In the initial study, the world's leading patterns in web archiving were selected, then metadata elements were extracted from the official site of each template and refined and homogenized in the comparative table. The research tool, a questionnaire including the description of each metadata element and the importance of its existence in describing web content was provided to information science experts. Due to the indigenous needs, open tables were allocated to record them. To organize the content knowledge of Iranian websites, thirty-eight metadata elements were prioritized and evaluated by information science experts. knowledge organization of web content will strengthen the representation, facilitate retrieval and prevent content loss when it is based on the standard and integrated metadata templates while increasing user satisfaction. In this research, information science experts have recognized that the metadata elements of Title, Subject, Creator, and Format are more important.
AhmadReza Varnaseri; Mahnaz Tayfhsan; Molouk Sadadat Hosseini Beheshti
Abstract
Drawing a knowledge map of scientific productivity in the field of knowledge engineering in the 2011-2021 period on Web of Science. This was an applied descriptive-analytical study using a quantitative research design. The research population consisted of all scientific products in the field of knowledge ...
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Drawing a knowledge map of scientific productivity in the field of knowledge engineering in the 2011-2021 period on Web of Science. This was an applied descriptive-analytical study using a quantitative research design. The research population consisted of all scientific products in the field of knowledge engineering, which included 7724 documents published in indexed journals on the Web of Science database in the 2011-2021 period. The data were analyzed in Excel. VOSviewer was used for constructing the bibliometric networks of researchers, institutions, and countries, Histcite was used for obtaining information through scientometrics methods, and Gephi was used for obtaining betweenness centrality, degree centrality, and eigenvector centrality. Xu, Yang from Beijing University of Science and Technology had the most collaboration with other researchers by publishing 69 documents in the field of knowledge engineering. Two Chinese universities were ranked in first and second place and two Iranian universities were in third and fourth places.Studies on Knowledge Engineering began in the US, the UK, Japan, France, and Australia in 2010-2012. Meanwhile, publications in this field have been pursued with more intensity by China, Iran, Spain, and Russia since 2014. The findings indicate that many researchers are working in the field of knowledge engineering, with the Chinese researchers being the most active compared to other countries. Meanwhile, Asian countries seem to be more involved in this field. Furthermore, most of the journals of knowledge engineering were conference journals.
Knowledge Extraction
Ahmadreza Varnaseri; Maryam Nakhoda; Sareh Karimi
Abstract
Purpose: This study aims to determine the effect of query expansion on scientific texts retrieval in Persian.Method: The present study was conducted using a quasi-experimental method. The results are obtained by analyzing 40 initial and expanded queries of postgraduate students in the Faculty of Management, ...
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Purpose: This study aims to determine the effect of query expansion on scientific texts retrieval in Persian.Method: The present study was conducted using a quasi-experimental method. The results are obtained by analyzing 40 initial and expanded queries of postgraduate students in the Faculty of Management, University of Tehran. Query expansion was performed manually using primary research results.Findings: Query expansion of Persian scientific texts leads to an increase in the number of related retrieved documents, as well as the comprehensiveness and accuracy of retrieving scientific data in Elmnet search engine, which as a result, improves the overall performance of information retrieval.Results: Nowadays, automatic query expansion is on the agenda of databases. Given that Persian databases are not fully developed, and the existence of specific problems with writing in the Persian language, information literacy training and the method of defining and expressing information requirements and providing them to the information retrieval systems, can have a significant impact on postgraduate students and researchers, to retrieve the required information and save them time and money.