Authors: Irene Garrigós, Jose-Norberto Mazón, Paul Hernández
Tags: 2010, conceptual modeling
Analyzing Web log data is important in order to study the usage of a website. Even though some approaches propose data warehousing techniques for structuring the Web log data into a multidimensional model, they present two main drawbacks: (i) they are based on informal guidelines and must be manually applied; and (ii) they consider data tailored to a specific Web log format, thus being restricted to specific analysis tools. To overcome these limitations, we present a model-driven approach for obtaining a conceptual multidimensional model from Web log data in a comprehensive, integrated and automatic manner. This approach consists of the following steps: (i) obtaining a conceptual model of the Web log data based on a unified metamodel, (ii) deriving a multidimensional model from this Web log model by formally defining a set of QVT (Query/View/Transformation) transformation rules.Read the full paper here: https://link.springer.com/chapter/10.1007/978-3-642-16385-2_22
