Applications of rule mining in knowledge bases

Abstract:

The continuous progress of Information Extraction (IE) techniques has led to the construction of large Knowledge Bases (KBs) containing facts about millions of entities such as people, organizations and places. KBs are important nowadays because they allow computers to understand the real world and are used in multiple domains and applications. Furthermore, the discovery of useful and non-trivial patterns in KBs, known as rule mining, opens the door for multiple applications in the areas of data analysis, pbkp_rediction and automatic data engineering. In this article we present an overview of our ongoing work on rule mining on KBs and some of its applications. The scale of current KBs as well as their inherent incompleteness and noise make this endevour challenging.

Año de publicación:

2014

Keywords:

• Ontologies
• rule mining
• Knowledge Bases

Fuente:

scopus