By Ladjel Bellatreche, Mukesh K. Mohania

This booklet constitutes the refereed lawsuits of the sixteenth overseas convention on information Warehousing and data Discovery, DaWaK 2014 held in Munich, Germany, September 2014, along side DEXA 2014. The 34 revised complete papers and eight brief papers awarded have been rigorously reviewed and chosen from 109 submissions. The papers are geared up in topical sections on modeling and ETL; ontology-based facts warehouses; complex facts warehouses and OLAP; uncertainty; personal tastes and advice; question functionality and HPC; dice & OLAP; optimization; type; social networks and advice structures; wisdom facts discovery; business purposes; mining and processing info movement; mining and similarity.

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Extra resources for Data Warehousing and Knowledge Discovery: 16th International Conference, DaWaK 2014, Munich, Germany, September 2-4, 2014. Proceedings

Sample text

SW languages (RDF and OWL), founded in DL, can be used to define rules to be processed by reasoning services, assisting aggregations. Annotations can be applied in the ETL conceptual data flows to deal with semantic heterogeneity. In MD modeling, ontologies and reasoning are applied to discover dimension hierarchies from sub-domains and to integrate concepts from different ontologies. Most of the ontological approaches for semantic DW, such as [9], are based on analysing functional dependencies of the data sources.

15–21. : Quality indicators for business process models from a gateway complexity perspective. Inf. Softw. Technol. : Optimizing ETL processes in data warehouses. In: ICDE, pp. : Benchmarking ETL Workflows. , Poess, M. ) TPCTC 2009. LNCS, vol. 5895, pp. 199–220. : QoX-driven ETL design: Reducing the cost of ETL consulting engagements. In: SIGMOD, pp. 953–960. : Leveraging business process models for ETL design. , Wand, Y. ) ER 2010. LNCS, vol. 6412, pp. 15–30. Springer, Heidelberg (2010) A Logical Model for Multiversion Data Warehouses Waqas Ahmed1, , Esteban Zim´anyi1 , and Robert Wrembel2, 1 Dept.

Slowly changing dimensions and temporal data warehouses are the available solutions to manage changes in the content of the data warehouse. Multiversion data warehouses are capable of managing changes in the content and the structure simultaneously however, they are relatively complex and not easy to implement. In this paper, we present a logical model of a multiversion data warehouse which is capable of handling schema changes independently of changes in the content. We also introduce a new hybrid table version approach to implement the multiversion data warehouse.

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