Presentation: How to Combine the Best of Web2.0 and a Semantic Web: Examples from Revyu.com
Nice presentation.
myOntology: Open Ontology Environment for Semantic Web-based E-Commerce
This is the myOntology homepage. Looks like an ambitious project.
This is a useful survey of wrapper development toolkits.
Marmite: Re-purposing Web Content through End-User Programming
This is about making mashups. It also uses Solvent for wrapper creation.
~wingerz ยป Using Solvent to extract data from structured pages
This is another tutorial for Solvent.
This is another system for creating mashups to offer services using data from the web.
Using Data-Extraction Ontologies to Foster Automating Semantic Annotation
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.
This is the Finnish Semantic Web project. The site has a long list of publications.