It is our great pleasure to welcome you to the 17th ACM International Workshop on Data Warehousing and OLAP (DOLAP 2014). The DOLAP workshop continues its tradition of being a premier forum where both researchers and practitioners in Data Warehousing and On-Line Analytical Processing (OLAP) share their findings in theoretical foundations, methodologies, physical designs, 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. Traditional solutions and architecture designs in Data Warehousing and OLAP are evolving to cope with emerging application domains and data types, such as MPP, big data infrastructures, and analytics. In recent years, research in these areas has addressed emerging topics and has provided solutions toward building effective decision-support applications, deploying them on modern hardware, and aiming at improving optimization objectives as system performance.
The call for papers attracted 24 submissions (22 regular papers and 2 short papers) from 17 different countries. The program committee reviewed and accepted 8 full papers and 4 short papers, resulting to an acceptance rate of 36% for full papers and 50% overall. The accepted papers span a wide variety of topics, including query processing and physical design, security issues for cloud data warehouses, handling of 'exotic' data like genomic and GPS data, location intelligence, optimization and data generation for data flows, and modeling issues for movement data, analytical metadata, and OLAP sessions. The program also includes an invited keynote talk by Prof. Minos Garofalakis from the Technical University of Crete, on querying big, dynamic, distributed data, and a panel on how DW and OLAP technologies can be used in big graph analytics. Join the conversation about this journal
SJR
The SJR is a size-independent prestige indicator that ranks journals by their 'average prestige per article'. It is based on the idea that 'all citations are not created equal'. SJR is a measure of scientific influence of journals that accounts for both the number of citations received by a journal and the importance or prestige of the journals where such citations come from
It measures the scientific influence of the average article in a journal, it expresses how central to the global scientific discussion an average article of the journal is.
Year
SJR
2015
0.220
2016
0.349
2017
0.279
Total Documents
Evolution of the number of published documents. All types of documents are considered, including citable and non citable documents.
Year
Documents
2015
0
2016
0
2017
0
Citations per document
This indicator counts the number of citations received by documents from a journal and divides them by the total number of documents published in that journal. The chart shows the evolution of the average number of times documents published in a journal in the past two, three and four years have been cited in the current year. The two years line is equivalent to journal impact factor ™ (Thomson Reuters) metric.
Cites per document
Year
Value
Cites / Doc. (4 years)
2015
1.067
Cites / Doc. (4 years)
2016
1.000
Cites / Doc. (4 years)
2017
1.200
Cites / Doc. (3 years)
2015
1.067
Cites / Doc. (3 years)
2016
1.000
Cites / Doc. (3 years)
2017
1.200
Cites / Doc. (2 years)
2015
1.067
Cites / Doc. (2 years)
2016
1.000
Cites / Doc. (2 years)
2017
0.000
Total Cites Self-Cites
Evolution of the total number of citations and journal's self-citations received by a journal's published documents during the three previous years.
Journal Self-citation is defined as the number of citation from a journal citing article to articles published by the same journal.
Cites
Year
Value
Self Cites
2015
0
Self Cites
2016
0
Self Cites
2017
0
Total Cites
2015
16
Total Cites
2016
15
Total Cites
2017
18
External Cites per Doc Cites per Doc
Evolution of the number of total citation per document and external citation per document (i.e. journal self-citations removed) received by a journal's published documents during the three previous years.
External citations are calculated by subtracting the number of self-citations from the total number of citations received by the journal’s documents.
Cites
Year
Value
External Cites per document
2015
1.067
External Cites per document
2016
1.000
External Cites per document
2017
1.200
Cites per document
2015
1.067
Cites per document
2016
1.000
Cites per document
2017
1.200
% International Collaboration
International Collaboration accounts for the articles that have been produced by researchers from several countries. The chart shows the ratio of a journal's documents signed by researchers from more than one country; that is including more than one country address.
Year
International Collaboration
2015
0
2016
0
2017
0
Citable documents Non-citable documents
Not every article in a journal is considered primary research and therefore "citable", this chart shows the ratio of a journal's articles including substantial research (research articles, conference papers and reviews) in three year windows vs. those documents other than research articles, reviews and conference papers.
Documents
Year
Value
Non-citable documents
2015
2
Non-citable documents
2016
2
Non-citable documents
2017
2
Citable documents
2015
13
Citable documents
2016
13
Citable documents
2017
13
Cited documents Uncited documents
Ratio of a journal's items, grouped in three years windows, that have been cited at least once vs. those not cited during the following year.
Documents
Year
Value
Uncited documents
2015
9
Uncited documents
2016
7
Uncited documents
2017
6
Cited documents
2015
6
Cited documents
2016
8
Cited documents
2017
9
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