Report on methods and algorithms for bootstrapping Semantic Web content from user repositories and reaching consensus on the use of semantics
Year: 2010
Type: article
Abstract: The INSEMTIVES projects explores two approaches to tackle the issue of missing semantic content in the semantic web: finding insentives to motivate the user to provide more annotation and minimizing the cold start issue to provide enough critical mass of annotation to the users so they can see the benefits of semantic content. In this deliverable, we discuss solutions for reaching a critical mass of quality semantic annotations. We describe two techniques to solve this issue: a) automatic bootstrapping of annotations from the user’s knowledge and the content of resources and b) consensus reaching techniques to ensure quality annotations that are understood and shared by most of the users of the semantic web.
Authors: Pierre Andrews, Juan Pane, Ilya Zaihrayeu
Language: English
Topic: Semantic Web and Ontologies
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
Funder: European Commission
OpenAlex ID: W1573213854