Inducing Ontologies from Folksonomies using Natural Language Understanding
Abstract
During the Phase I period, Lymba studied the feasibility of an automated system that exposes a folksonomy's semantic structure. We developed a prototype system that implements our proposed design and exposes a folksonomy's semantic structure by building an ontology of tags which can be improve various folksonomy-related applications, such as automatic generation of user, document, or tag recommendations or collaborative tagging across multiple social bookmarking applications in addition to a folksonomy visualization, browsing and search application.
Document Details
- Document Type
- Technical Report
- Publication Date
- Nov 13, 2009
- Accession Number
- ADA512325
Entities
People
- Dan Moldovan