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Using Data-Extraction Ontologies to Foster Automating Semantic Annotation

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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.
Yihong Ding, David W. Embley
Added 11 Jun 2010
Updated 11 Jun 2010
Type Conference
Year 2006
Where ICDE
Authors Yihong Ding, David W. Embley
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