This article utilizes contextual semantic description technology, the first step in linguistic database preparation for building a corpus of religious texts. The book "Sahih ul-Bukhari" was chosen as the study's subject for this. The scientific contribution of the article is that it explains the processes of manual and automatic database preparation. The advantages of the contextual semantic description technique are explained, namely for religious and classical texts. This study examines the semantic fields and categorical classifications of 428 lexical units extracted from the referenced corpus, utilizing Mukhammad Sadiq Mukhammad Yusuf’s "Sakhih ul-Bukhari" (1-juz, 2019) as its primary source, and provides a comprehensive account of their semantic annotation. Special emphasis is placed on the high-frequency terms "Book" and "Hadith," which are analyzed through thematic grouping, semantic tagging, and examination of keyword-based co-occurrences. This study identified 18 distinct thematic categories. The research utilizes methodological approaches such as keyword and collocational analysis, thematic modeling, and semantic tagging to examine the corpus. The methods used in the study include thematic modeling, semantic tagging, and contextual analysis of lexical units. The discussion of semantic challenges and descriptive methodologies presented here contributes significantly to the analytical paradigms within corpus linguistics.