Automatic Extraction of New Concepts from Domain-Specific Terms

Abstract

This paper describes a novel approach for recognition of domain-specific terms that exist in the knowledge base but represent new concepts. Our method can be applied to informal knowledge bases – it requires only semantic similarity between concepts and statistics of terms extracted from the corpus. We show that our method outperforms existing approaches and improves precision of word sense disambiguation algorithm.

Keywords

• извлечение концептов
• предметно-специфичные термины
• обогащение баз знаний
• обогащение онтологий
• неформальная база знаний
• неформальная онтология
• разрешение лексической многозначности
• семантический анализ