Towards a better understanding of the language content in the Semantic Web

Abstract

Internet content today is about 80% text-based. No matter static or dynamic, the information is encoded and presented as multilingual, unstructured natural language text pages. As the Semantic Web aims at turning Internet into a machine-understandable resource, it becomes important to consider the natural language content and to assess the feasibility and the innovation of the semantic-based approaches related to unstructured texts. This paper reports about work in progress, an experiment in semantic based annotation and explores scenarios for application of Semantic Web techniques to the textual pages in Internet. © Springer-Verlag Berlin Heidelberg 2004.