OILSW: A New System for Ontology Instance Learning in Semantic Web
Sima Soltani, Ahmad Abdollahzadeh Barforoush · 2007
Abstract. The Semantic Web is expected to extend the current Web by providing structured content via the addition of annotations. Because of the large amount of pages in the Web, manual annotation is very time consuming. Finding an automatic or semiautomatic method to change the current Web to the Semantic Web is very helpful. In a specific domain, Web pages are the instances of that domain ontology. So we need semiautomatic tools to find these instances and fill their attributes. In this article, we propose a new system named OILSW for instance learning of an ontology from Web pages of Websites in a common domain. This system is the first comprehensive system for automatically populating the ontology for websites. By using this system, any Website in a certain domain can be automatically annotated.