The following article presents a specific issue of semantic analysis of texts in natural language – text indexing and describes one field of its application (web browsing). The main part of this article describes a computer system assigning a set of semantic indexes (similar to keywords) to a particular text. The indexing algorithm employs a semantic dictionary to find specific words in a text that represent a text content. Furthermore, it compares two given sets of semantic indexes to determine similarities between texts (assigning a numerical value). The article describes the semantic dictionary – a tool essential to accomplish this task and its usefulness, the main concepts of the algorithm, and the test results.
