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- W2115238107 abstract "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." @default.
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- W2115238107 date "2006-01-01" @default.
- W2115238107 modified "2023-09-24" @default.
- W2115238107 title "Using Data-Extraction Ontologies to Foster Automating Semantic Annotation" @default.
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- W2115238107 doi "https://doi.org/10.1109/icdew.2006.158" @default.
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