AL-QuIn: An Onto-Relational Learning System for Semantic Web Mining

作者：Lisi Francesca A^*

来源：International Journal on Semantic Web and Information Systems, 2011, 7(3): 1-22.

DOI：10.4018/jswis.2011070101

• AL-QuIn
• Information Systems
• Ontologies
• Relational Learning
• Semantic Web Mining

Onto-Relational Learning is an extension of Relational Learning aimed at accounting for ontologies in a clear, well-founded and elegant manner. The system AL-QuIn supports a variant of the frequent pattern discovery task by following the Onto-Relational Learning approach. It takes taxonomic ontologies into account during the discovery process and produces descriptions of a given relational database at multiple granularity levels. The functionalities of the system are illustrated by means of examples taken from a Semantic Web Mining case study concerning the analysis of relational data extracted from the on-line CIA World Fact Book.

• 出版日期2011