Semantically Enriched Knowledge Extraction With Data Mining

Web Usage Mining Structuring semantically enriched clickstream data

Web servers worldwide generate a vast amount of information on web users' browsing activities. Several researchers have studied these so-called clickstream or web access log data to better understand and characterize web users. Clickstream data can be enriched with information about the content of visited pages and the origin (e.g., geographic, organizational) of the requests. The goal of this ...

Semantically Enriched Web Usage Mining for Personalization

The continuous growth in the size of the World Wide Web has resulted in intricate Web sites, demanding enhanced user skills and more sophisticated tools to help the Web user to find the desired information. In order to make Web more user friendly, it is necessary to provide personalized services and recommendations to the Web user. For discovering interesting and frequent navigation patterns fr...

Towards Preservation of Semantically Enriched Architectural Knowledge

Preservation of architectural knowledge faces substantial challenges, most notably due the high level of data heterogeneity. On the one hand, lowlevel architectural models include 3D models and point cloud data up to richer building information models (BIM), often residing in isolated data stores with insufficient support for ensuring consistency and managing change. On the other hand, the Web ...

Complex systems data mining and knowledge extraction

Semantically Enriched Web Usage Mining for Predicting User Future Movements

Explosive and quick growth of the World Wide Web has resulted in intricate Web sites, demanding enhanced user skills and sophisticated tools to help the Web user to find the desired information. Finding desired information on the Web has become a critical ingredient of everyday personal, educational, and business life. Thus, there is a demand for more sophisticated tools to help the user to nav...