The Semantic Web is a vision to move the Web from a place where information is processed by humans to one where processing can be automated. Currently, AI seems to be making an impact on bringing the vision to reality. To add semantics to the web requires languages for representing knowledge. To infer relationships between resources or new facts requires web-scale automated-reasoning. However, there is some skepticism in the web community that AI can be made "web appropriate" and work on a web scale. I will introduce the Semantic Web concept and give a number of examples of how AI has already contributed to its development, primarily through knowledge representation languages. I will explore the reasons why the Semantic Web is a challenging environment for AI. I will suggest that this could be a killer app for AI, but we must recognize that the web is a vast and untidy place, and only a combination of approaches will yield success. © 2002 Springer-Verlag Berlin Heidelberg.
|Title of host publication
|Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|Lect. Notes Comput. Sci.
|Number of pages
|Published - 2002
|10th International Conference on Artificial Intelligence: Methodology, Systems, and Applications, AIMSA 2002 - Varna
Duration: 1 Jul 2002 → …
|Lecture Notes in Computer Science
|10th International Conference on Artificial Intelligence: Methodology, Systems, and Applications, AIMSA 2002
|1/07/02 → …