Add to ORKGAbstract. Business Intelligence (BI) tools provide fundamental support in analyzing large volumes of information. Data Warehouses (DW) and Online Analytical Processing (OLAP) tools are used to store and analyze data. Nowadays more and more information is available on the Web in the form of Resource Description Framework (RDF) and BI tools have huge potential of achieving better results by integrating real-time data from web sources into the analysis process. In this paper we describe a framework for so-called Exploratory OLAP over RDF sources. We pro-pose a system that uses a multidimensional schema of the OLAP cube expressed in RDF vocabularies. Based on this information the system is able to query data sources, extract and aggregate data,...
The huge amount of information available and its heterogeneity has surpassed the capacity of current...
On-Line Analytical Processing (OLAP) systems based on multidimensional databases are essential eleme...
Due to the amount of data emerging, it is necessary to use an online analytical processing (OLAP) fr...
Business Intelligence (BI) tools provide fundamental support for analyzing large volumes of informat...
International audienceThis paper describes a business-oriented analysis environment facilitating ana...
Traditional OLAP tools have proven to be successful in analyzing large sets of enterprise data. For ...
Exploratory OLAP aims at coupling the precision and detail of corporate data with the information we...
Exploratory OLAP aims at coupling the precision and detail of corporate data with the information we...
In the context of exploratory OLAP, coupling the information wealth of linked data with the precisio...
In the context of exploratory OLAP, coupling the information wealth of linked data with the precisio...
On-Line Analytical Processing (OLAP) is a data analysis technique typically used for local and well-...
On-Line Analytical Processing (OLAP) enables analysts to gain insight into data through fast and int...
On-Line Analytical Processing (OLAP) tools allow querying large multidimensional (MD) databases call...
International audienceResearch in data warehousing and OLAP has produced important technologies for ...
The foundations for traditional data analysis are Online Analytical Processing (OLAP) systems that o...
The huge amount of information available and its heterogeneity has surpassed the capacity of current...
On-Line Analytical Processing (OLAP) systems based on multidimensional databases are essential eleme...
Due to the amount of data emerging, it is necessary to use an online analytical processing (OLAP) fr...
Business Intelligence (BI) tools provide fundamental support for analyzing large volumes of informat...
International audienceThis paper describes a business-oriented analysis environment facilitating ana...
Traditional OLAP tools have proven to be successful in analyzing large sets of enterprise data. For ...
Exploratory OLAP aims at coupling the precision and detail of corporate data with the information we...
Exploratory OLAP aims at coupling the precision and detail of corporate data with the information we...
In the context of exploratory OLAP, coupling the information wealth of linked data with the precisio...
In the context of exploratory OLAP, coupling the information wealth of linked data with the precisio...
On-Line Analytical Processing (OLAP) is a data analysis technique typically used for local and well-...
On-Line Analytical Processing (OLAP) enables analysts to gain insight into data through fast and int...
On-Line Analytical Processing (OLAP) tools allow querying large multidimensional (MD) databases call...
International audienceResearch in data warehousing and OLAP has produced important technologies for ...
The foundations for traditional data analysis are Online Analytical Processing (OLAP) systems that o...
The huge amount of information available and its heterogeneity has surpassed the capacity of current...
On-Line Analytical Processing (OLAP) systems based on multidimensional databases are essential eleme...
Due to the amount of data emerging, it is necessary to use an online analytical processing (OLAP) fr...