Proceedings of the ACM Eighteenth International Workshop on Data Warehousing and OLAP

Abstract

The publication date is one day earlier then the EST date to provide the proceedings to attendees in Australian on the first day of the conference It is our great pleasure to welcome you to the 18th ACM International Workshop on Data Warehousing and OLAP -- DOLAP 2015. The DOLAP workshop continues its tradition of being the premier forum where both researchers and practitioners in data warehousing and On-Line Analytical Processing (OLAP) share their findings in theoretical foundations, current methodologies, new trends and practical experiences. The mission of the DOLAP workshop is to identify and explore new directions for future research and development, as well as emerging application domains in the areas of data warehousing and OLAP. In recent years, research in these areas have addressed many topics, ranging from conceptual-level and methodological issues, which help designers to build effective decision-support applications, to physical-level and query processing issues, aiming at increasing the performance of these applications in order to deal with vast amounts of data. However, the successful use of data warehousing and OLAP technologies within organizations brings up new requirements and research opportunities, in particular to cope with non-traditional application domains, such as text, biological, imaging, and spatio-temporal applications. The call for papers attracted 31 submissions, from 19 different countries and 6 continents. After careful review and discussion, the program committee accepted 8 full papers and 4 short papers, for a competitive acceptance rate of 26% for full papers and about 39% overall. In addition, some papers received up to four reviews and a summary of the discussion. The accepted papers cover a wide variety of topics, including conceptual modeling, multidimensional design, query processing, energy consumption optimization, join algorithms, metadata management, ETL. Papers are grouped into four sessions covering data warehouse design, database modeling, query processing, and text processing. This year we also have a peer-reviewed invited paper talk from the DBMS community on Big Data Design for revisiting database design in the context of new big data wave. The author also gives a vision of major challenges.