Creating and Augmenting Domain Ontologies with Machine Learning: An Industry Perspective

1st Workshop on Inductive Reasoning and Machine Learning on the Semantic Web

计算机科学;图书情报档案学

Rayid Ghani

Others  :  http://CEUR-WS.org/Vol-474/abstract2.pdf
PID  :  11337

来源: CEUR

【 摘 要 】

Most companies have internal databases that consist of both structured and unstructured content. This environment is similar to the Web setting where the "semantic" Web contains structured, machine- readable content, and the rest of the Web contains unstructured content. In this talk, I will give examples where the structured content can be augmented (both in terms of structure and content) by applying ma- chine learning techniques to the unstructured content for a variety of business problems. I will focus on describing techniques using supervised and semi-supervised learning algorithms to efficiently create and populate ontologies for a variety of product categories.