Presenting a Pattern for Applicability of Semantic Relations in Information Retrieval Using a Grounded Data Approach (Case Study: Libraries of Medical Sciences Universities)

This research aims to identify the effective factors in the applicability of semantic relations in medical sciences university libraries and to present the resulting patterns. Its approach is qualitative, grounded theory-based, and grounded in the nature and purpose of this research. To collect data, documentary methods and interviews were conducted with 15 librarians and information specialists working in the libraries of medical sciences universities in the country, who were selected as samples using a purposive non-probability approach. The data were analyzed in three steps: open coding, axial coding, and selective coding, followed by the interpretation of interview statements and the development of a paradigm model. The validity was measured using the responsive method, and two coding types were used to estimate reliability. The analysis of findings showed that applicability of semantic relations in information retrieval has 6 main categories, 23 sub-categories, and 88 concepts that is presented as a paradigm model including causal factors (semantic search, semantic retrieval, semantic ambiguity, cross-linguistic retrieval, rooting ability, conceptual relations between words), contextual factors (user's ability to use semantic relations in information retrieval, user's information needs, applicability of semantic relations, and the user's need for new systems in information retrieval), intervening (the presence of different semantic tools during information retrieval, the presence of complex semantic relations between words, the lack of understanding of natural language by search engines and the presence of ambiguity in the meaning of words), axial (the applicability of semantic relations in information retrieval, the quality processes of the applicability of semantic relations in information retrieval), and strategic (system strategy, security strategy and accountability strategy). Finally, the presented pattern validity was confirmed by authorities. The results show that the applicability of semantic relations in information retrieval in the libraries of medical sciences universities is primarily driven by the advantages and benefits inherent in this technological approach. Additionally, the applicability of semantic relations in information retrieval can be measured and managed within the studied population based on the obtained dimensions, main categories, and subcategories.