Using Data-Extraction Ontologies to Foster Automating Semantic Annotation

Semantic annotation adds formal metadata to web pages to link web data with ontology concepts. Automated semantic annotation is a primary way of enabling the semantic web. A main drawback of existing automated semantic annotation approaches is that they need a post-extraction mapping between extraction categories and ontology concepts. This mapping requirement usually needs human intervention, which decreases automation. Our approach uses data-extraction ontologies to avoid this problem. To automate semantic annotation, the new approach uses an ontology-based data recognizer that fosters automated semantic annotation, optimizes the system performance, provides support for ontology assembly, and is compatible with semantic web standards.

• Type: Conference
• Year: 2006
• Where: ICDE
• Authors: Yihong Ding, David W. Embley
• Keywords: Database, ICDE 2006, Semantic Annotation, Semantic Annotation Approaches, Semantic Web