A knowledge-based approach to ontology learning and semantic annotation

The so-called Semantic Web vision will certainly benefit from automatic semantic annotation of words in documents. We present a method, called structural semantic interconnections (SSI), that creates structural specifications of the possible senses for each word in a context, and selects the best hypothesis according to a grammar G, describing relations between sense specifications. The method has been applied to different semantic disambiguation problems, like automatic ontology construction, sensebased query expansion, disambiguation of words in glossary definitions. Evaluation experiments have been performed on each disambiguation task, as well

• Type: Conference
• Year: 2004
• Where: CAISE
• Authors: Roberto Navigli, Paola Velardi
• Keywords: Automatic Semantic Annotation, CAISE 2004, Semantic, So-called Semantic Web