Document Type : Original Article
Authors
1
Ph.D. Student in Information Science and Knowledge Studies, Department of Information Science, Faculty of Education and Psychology, Alzahra University, Tehran, Iran
2
Associate Professor (Retired), Department of Information Science, Faculty of Education and Psychology, Alzahra University, Tehran, Iran
3
Associate Professor, Department of Information Science, Faculty of Education and Psychology, Alzahra University, Tehran, Iran
10.30481/lis.2023.379865.2040
Abstract
Objective: The purpose of this research is to investigate and measure the semantic search of users. Semantic search refers to a search that goes beyond the traditional search, i.e. the matching of the keywords of the search request with the keywords of the documents in the system and seeks to understand the meaning and semantic relationships between the keywords in the user's search request, which is used with the development and expansion of the semantic web and ontologies. Semantic search expands the meaning and seeks machine understanding of the user's intent, query request and relationships between words and elevates the user's search strategy to a meaningful experience. This search is of great interest to users and researchers due to its many advantages and applications. But besides the many advantages it has over traditional and keyword search. It also has some problems and complications that elimination of these problems leads to the improvement and promotion of semantic search and helps users a lot.
Methods: The present study is quantitative in terms of approach and applied in terms of purpose, which has been done by survey method. The data collection tool was a researcher-made questionnaire. The statistical population of the study was 189 Iranian researchers who had published at least a research article on COVID-19 which Indexed in PubMed.
Results: Based on the research findings, from the perspective of Iranian researchers, the degree of recall and precision to semantic search in the PubMed is moderate. The amount of semantic gap in semantic search is relatively large, the degree of accuracy and precision in retrieving results in semantic search is moderate, the degree of conceptual relevance in semantic search is moderate, the rate of retrieval of meaningful multi-word concepts in semantic search is moderate and the rate of improvement and upgrade of overall performance in semantic search is relatively high in semantic searches at the database has been extensive.
Conclusion: The results of the research in general showed that semantic search is a dynamic and challenging search that despite its various strengths and advantages for users in research, but still has its weaknesses and drawbacks that should be reviewed and revised by semantic search support experts such as ontology designers for the semantic search system. Eliminating these weaknesses and problems, makes semantic search can be a better way for to respond to researchers for their research, As a result, researchers and users can achieve to richer results for compile their research work.
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