Proceedings of the ACM 13th international workshop on Data warehousing and OLAP

Abstract

It is our great pleasure to welcome you to the 13th ACM International Workshop on Data Warehousing and OLAP -- DOLAP 2010. 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 physicallevel 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 nontraditional application domains, such as text, biological, imaging, and spatio-temporal applications. The call for papers attracted 27 submissions, from 16 different countries and 4 continents. After careful review and discussion, the program committee accepted 8 full papers and 6 short papers, for a competitive acceptance rate of 29% for full papers and about 50% overall. The accepted papers cover a wide variety of topics, including conceptual modeling, multidimensional design, query processing, exploiting new hardware and privacy, among other themes. Papers are grouped into three sessions covering modeling, query processing and new trends. This year we also have an invited keynote talk from the DBMS industry on advanced query processing and a thought-provoking panel discussing and comparing relational and nonrelational technology to manage and analyze data warehouses.