Extract semantic web knowledge from Wikipedia tables and lists

Wikipedia is currently one of the most significant knowledge base for human but it is still hard to access automatically by machines. Nowadays, there are much efforts to transform the knowledge resides in Wikipedia to machine readable information in the form of Linked Data to be used in many intelligent applications with Semantic Web technology. However, the knowledge extracted from Wikipedia focused on some structured elements such as Infoboxes and Categories. There are many important semi-structured and unstructured elements that have not yet been extracted to Linked Data. This work proposes a method to extract two elements of the rich informative part of Wikipedia which are Tables and Lists. Some sets of newly created schema and ontology are provided to support the extracted information.