Knowledge Extraction from Question and Answer Platforms on the Semantic Web: A Systematic Review of Technologies Available for Information Extraction

Abstract

Knowledge Extraction is the process of getting structured data from unstructured or semi-structured sources. Much research has been conducted in this field and applying these technologies to the web has become a key effort in the past few years. This is due to changes from web 1.0 where the web was simply a set of static pages where user interaction was minimal. With the rise of web 2.0, the internet is no longer a medium to access static information. Users can now share their own thoughts easily thus increasing the amount of user generated content. This has made the web ripe with knowledge, however not all information can be easily accessed. This paper aims to bridge the gap between knowledge available and the knowledge accessed using knowledge extraction.