On Index Structures for Star Query Processing in Data Warehouses

Author(s):  
Artur Wojciechowski ◽  
Robert Wrembel
2013 ◽  
Vol 9 (2) ◽  
pp. 89-109 ◽  
Author(s):  
Marie-Aude Aufaure ◽  
Alfredo Cuzzocrea ◽  
Cécile Favre ◽  
Patrick Marcel ◽  
Rokia Missaoui

In this vision paper, the authors discuss models and techniques for integrating, processing and querying data, information and knowledge within data warehouses in a user-centric manner. The user-centric emphasis allows us to achieve a number of clear advantages with respect to classical data warehouse architectures, whose most relevant ones are the following: (i) a unified and meaningful representation of multidimensional data and knowledge patterns throughout the data warehouse layers (i.e., loading, storage, metadata, etc); (ii) advanced query mechanisms and guidance that are capable of extracting targeted information and knowledge by means of innovative information retrieval and data mining techniques. Following this main framework, the authors first outline the importance of knowledge representation and management in data warehouses, where knowledge is expressed by existing ontology or patterns discovered from data. Then, the authors propose a user-centric architecture for OLAP query processing, which is the typical applicative interface to data warehouse systems. Finally, the authors propose insights towards cooperative query answering that make use of knowledge management principles and exploit the peculiarities of data warehouses (e.g., multidimensionality, multi-resolution, and so forth).


Author(s):  
Swathi Kurunji ◽  
Tingjian Ge ◽  
Xinwen Fu ◽  
Benyuan Liu ◽  
Amrith Kumar ◽  
...  

2006 ◽  
Vol 10 (2) ◽  
pp. 211-227 ◽  
Author(s):  
Karin Kailing ◽  
Hans-Peter Kriegel ◽  
Martin Pfeifle ◽  
Stefan Schönauer

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