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20072026
most citedMaterialized View Selection by Query Clustering in XML Data Warehouses

20 citations

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39 papers · 1 filter

cs.DB2025

Experiversum: an Ecosystem for Curating and Enhancing Data-Driven Experimental Science

Genoveva Vargas-Solar, Umberto Costa, Jérôme Darmont +6

This paper introduces Experiversum, a lakehouse-based ecosystem that supports the curation, documentation and reproducibility of exploratory experiments. Experiversum enables struc…

cs.DB2024

Dataversifying Natural Sciences: Pioneering a Data Lake Architecture for Curated Data-Centric Experiments in Life \& Earth Sciences

Genoveva Vargas-Solar, Jérôme Darmont, Alejandro Adorjan +6

This vision paper introduces a pioneering data lake architecture designed to meet Life \& Earth sciences' burgeoning data management needs. As the data landscape evolves, the imper…

cs.DB2023

An Ontology-based Collaborative Business Intelligence Framework

Muhammad Fahad, Jérôme Darmont

Business Intelligence constitutes a set of methodologies and tools aiming at querying, reporting, on-line analytic processing (OLAP), generating alerts, performing business analyti…

cs.DB2023★ 2 cited

Ontology-based Mediation with Quality Criteria

Muhammad Fahad

This paper presents a semantic system named OntMed for an ontology-based data integration of heterogeneous data sources to achieve interoperability between heterogeneous data sourc…

cs.DB2022

The Collaborative Business Intelligence Ontology (CBIOnt)

Muhammad Fahad, Jérôme Darmont, Cécile Favre

In the current era, many disciplines are seen devoted towards ontology development for their domains with the intention of creating, disseminating and managing resource description…

cs.DB2021★ 1 cited

Joint Management and Analysis of Textual Documents and Tabular Data within the AUDAL Data Lake

Pegdwendé Sawadogo, Jérôme Darmont, Camille Noûs

In 2010, the concept of data lake emerged as an alternative to data warehouses for big data management. Data lakes follow a schema-on-read approach to provide rich and flexible ana…

cs.DB2021★ 1 cited

goldMEDAL : une nouvelle contribution {à} la mod{é}lisation g{é}n{é}rique des m{é}tadonn{é}es des lacs de donn{é}es

Etienne Scholly, Pegdwendé Sawadogo, Pengfei Liu +5

We summarize here a paper published in 2021 in the DOLAP international workshop DOLAP associated with the EDBT and ICDT conferences. We propose goldMEDAL, a generic metadata model…

cs.DB2021★ 12 cited

Coining goldMEDAL: A New Contribution to Data Lake Generic Metadata Modeling

Etienne Scholly, Pegdwendé Sawadogo, Pengfei Liu +5

The rise of big data has revolutionized data exploitation practices and led to the emergence of new concepts. Among them, data lakes have emerged as large heterogeneous data reposi…

cs.DB2020

Automatic Integration Issues of Tabular Data for On-Line Analysis Processing

Yuzhao Yang, Jérôme Darmont, Franck Ravat +1

Companies and individuals produce numerous tabular data. The objective of this position paper is to draw up the challenges posed by the automatic integration of data in the form of…

cs.DB2017

Enforcing Privacy in Cloud Databases

Somayeh Sobati Moghadam, Jérôme Darmont, Gérald Gavin

Outsourcing databases, i.e., resorting to Database-as-a-Service (DBaaS), is nowadays a popular choice due to the elasticity, availability, scalability and pay-as-you-go features of…

cs.DB2017★ 5 cited

S4: A New Secure Scheme for Enforcing Privacy in Cloud Data Warehouses

Somayeh Moghadam, Jérôme Darmont, Gérald Gavin

Outsourcing data into the cloud becomes popular thanks to the pay-as-you-go paradigm. However, such practice raises privacy concerns. The conventional way to achieve data privacy i…

cs.DB2017

Innovative Approaches for efficiently Warehousing Complex Data from the Web

Fadila Bentayeb, Nora Maïz, Hadj Mahboubi +5

Research in data warehousing and OLAP has produced important technologies for the design, management and use of information systems for decision support. With the development of In…

cs.DB2017★ 2 cited

Data Processing Benchmarks

Jérôme Darmont

The aim of this article is to present an overview of the major families of state-of-the-art data processing benchmarks, namely transaction processing benchmarks and decision suppor…

cs.DB2017★ 1 cited

X-WACoDa: An XML-based approach for Warehousing and Analyzing Complex Data

Hadj Mahboubi, Jean-Christian Ralaivao, Sabine Loudcher +3

Data warehousing and OLAP applications must nowadays handle complex data that are not only numerical or symbolic. The XML language is well-suited to logically and physically repres…

cs.DB2017

Index and Materialized View Selection in Data Warehouses

Kamel Aouiche, Jérôme Darmont

The aim of this article is to present an overview of the major families of state-of-the-art index and materialized view selection methods, and to discuss the issues and future tren…

cs.DB2017

Biomedical Data Warehouses

Jérôme Darmont, Emerson Olivier

The aim of this article is to present an overview of the existing biomedical data warehouses and to discuss the issues and future trends in this area. We illustrate this topic by p…

cs.DB2017

Object Database Benchmarks

Jerome Darmont

The need for performance measurement tools appeared soon after the emergence of the first Object-Oriented Database Management Systems (OODBMSs), and proved important for both desig…

cs.DB2017

Cost Models for Selecting Materialized Views in Public Clouds

Romain Perriot, Jérémy Pfeifer, Laurent D 'Orazio +3

Data warehouse performance is usually achieved through physical data structures such as indexes or materialized views. In this context, cost models can help select a relevant set o…

cs.DB2017

Warehousing complex data from the Web

Omar Boussaid, Jerome Darmont, Fadila Bentayeb +1

The data warehousing and OLAP technologies are now moving onto handling complex data that mostly originate from the Web. However, intagrating such data into a decision-support proc…

cs.DB2016

A Scalable Document-based Architecture for Text Analysis

Ciprian-Octavian Truică, Jérôme Darmont, Julien Velcin

Analyzing textual data is a very challenging task because of the huge volume of data generated daily. Fundamental issues in text analysis include the lack of structure in document…

cs.DB2016

Warehousing Complex Archaeological Objects

Aybükë Oztürk, Louis Eyango, Sylvie Yona Waksman +2

Data organization is a difficult and essential component in cultural heritage applications. Over the years, a great amount of archaeological ceramic data have been created and proc…

cs.DB2011

Pattern tree-based XOLAP rollup operator for XML complex hierarchies

Marouane Hachicha, Jérôme Darmont

With the rise of XML as a standard for representing business data, XML data warehousing appears as a suitable solution for decision-support applications. In this context, it is nec…

cs.DB2011

Business Intelligence for Small and Middle-Sized Entreprises

Oksana Grabova, Jérôme Darmont, Jean-Hugues Chauchat +1

Data warehouses are the core of decision support sys- tems, which nowadays are used by all kind of enter- prises in the entire world. Although many studies have been conducted on t…

cs.DB2009

Enhancing XML Data Warehouse Query Performance by Fragmentation

Hadj Mahboubi, Jérôme Darmont

XML data warehouses form an interesting basis for decision-support applications that exploit heterogeneous data from multiple sources. However, XML-native database systems currentl…