| Autor: |
KALETA, ZBIGNIEW |
| Předmět: |
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| Zdroj: |
Computer Science; 2014, Vol. 15 Issue 1, p19-34, 16p |
| Abstrakt: |
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. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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