Semantic Web Usage Mining: Using Semantics to Understand User Intentions

Authors:
Till Plumbaum;Tino Stelter;Alexander Korth
Affiliations:
Technische Universität Berlin, DAI-Labor, Germany;Technische Universität Berlin, DAI-Labor, Germany;Technische Universität Berlin, DAI-Labor, Germany
Venue:
UMAP '09 Proceedings of the 17th International Conference on User Modeling, Adaptation, and Personalization: formerly UM and AH
Year:
2009

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Abstract

In this paper, we present a novel approach to track user interaction on a web page based on JavaScript-events combined with the Semantic Web standard Microformats to obtain more fine-grained and meaningful user information. Today's user tracking solutions are mostly page-based and lose valuable information about user interactions. To get an in-depth understanding of user's interests and intentions from observing him while interacting on a website, interaction data needs to be tracked on an event rather than on a page basis enhanced with semantic knowledge to understand the user intention. Our goal is to create an easy-to-integrate user tracker that is capable of collecting tracking information of configurable depth and feeding a highly sophisticated user model needed to provide personalized services such as recommendation and search.