Proceedings

Abstract:

Topic maps (XTM) offer a standards-based way to represent classification schemes. The practical uses of topic maps can include classification of many kinds of content and leveraging metadata to extend classification schemes. The associations in topic maps provide unparallel opportunities to improve the users’ navigation experience and increase serendipity. But is it possible to integrate several classification schemes while retaining accuracy and can the online navigation experience be improved for the user? Can the many classification schemes work with each other to improve the accuracy of the user experience?

This paper discusses a framework that can be used to integrate two (or more) XTM classification schemes, using information from one scheme to improve the navigation of others while increasing the serendipity of the user experience. Although presented with examples from a specific commercial topic map and CMS engine, the same framework could be used in many integration settings.