Interactive multidimensional modeling of linked data for exploratory OLAP
Exploratory OLAP aims at coupling the precision and detail of corporate data with the
information wealth of LOD. While some techniques to create, publish, and query RDF cubes …
information wealth of LOD. While some techniques to create, publish, and query RDF cubes …
Using Semantic Web technologies in the development of data warehouses: A systematic mapping
The exploration and use of Semantic Web technologies have attracted considerable
attention from researchers examining data warehouse (DW) development. However, the …
attention from researchers examining data warehouse (DW) development. However, the …
Modeling analytical streams for social business intelligence
Social Business Intelligence (SBI) enables companies to capture strategic information from
public social networks. Contrary to traditional Business Intelligence (BI), SBI has to face the …
public social networks. Contrary to traditional Business Intelligence (BI), SBI has to face the …
Validating functional redundancy with mixed generative adversarial networks
Data redundancy has been one of the most important problems in data-intensive
applications such as data mining and machine learning. Removing data redundancy brings …
applications such as data mining and machine learning. Removing data redundancy brings …
Semantic extension of query for the Linked Data
P Li, Y Jiang, J Wang, Z Yin - International Journal on Semantic Web …, 2017 - igi-global.com
With the advent of Big Data Era, users prefer to get knowledge rather than pages from Web.
Linked Data, a new form of knowledge representation and publishing described by RDF …
Linked Data, a new form of knowledge representation and publishing described by RDF …
Towards semantic assessment of summarizability in self-service business intelligence
Abstract Traditional Business Intelligence solutions allow decision makers to query
multidimensional data cubes by using OLAP tools, thus ensuring summarizability, which …
multidimensional data cubes by using OLAP tools, thus ensuring summarizability, which …
[PDF][PDF] Crumbs4Cube: Turning Breadcrumbs into Smart Enriched Data Cubes.
D Lanasri, S Khouri, R Saidoune… - ER Forum/Posters …, 2019 - ceur-ws.org
Traditionally, companies analyze data that has been extracted from their internal data
sources and loaded into data warehouses (DWs). In the digitalization Era, the data that …
sources and loaded into data warehouses (DWs). In the digitalization Era, the data that …
Study and analysis of wastewater treatment in the refining and chemical industry based on multidimensional data analysis
G Guo - Applied Mathematics and Nonlinear Sciences, 2024 - sciendo.com
To improve the efficiency of wastewater treatment in the refining chemical industry, this
paper designs a wastewater treatment process in the refining chemical industry based on …
paper designs a wastewater treatment process in the refining chemical industry based on …
Augmented Data Warehouses for Value Capture
N Berkani, L Bellatreche - International Conference of Innovation and New …, 2022 - Springer
Nobody can deny the monumental impact of Big Data on Data Warehouse (DW) technology.
This impact has been materialized by the spectacular adaptation of Big Data solutions …
This impact has been materialized by the spectacular adaptation of Big Data solutions …
[PDF][PDF] Mixed Generative Adversarial Networks for Data Redundancy Discovery
Data redundancy has been one of the most important problems in data-intensive
applications such as data mining and machine learning. Removing data redundancy brings …
applications such as data mining and machine learning. Removing data redundancy brings …