A5067693515- Advanced Database Systems and Queries
- Semantic Web and Ontologies
- Data Quality and Management
- Big Data and Business Intelligence
- Service-Oriented Architecture and Web Services
- Cloud Computing and Resource Management
- Scientific Computing and Data Management
- Data Mining Algorithms and Applications
- Data Management and Algorithms
- Spreadsheets and End-User Computing
- Advanced Data Storage Technologies
- Statistics Education and Methodologies
- Big Data Technologies and Applications
- Data Stream Mining Techniques
- Graph Theory and Algorithms
- Artificial Intelligence in Healthcare
- Business Process Modeling and Analysis
- Software System Performance and Reliability
- Distributed and Parallel Computing Systems
- Cloud Data Security Solutions
- Open Education and E-Learning
- Advanced Software Engineering Methodologies
- Parallel Computing and Optimization Techniques
- Experimental Learning in Engineering
- IoT and Edge/Fog Computing
Universitat Politècnica de Catalunya
2015-2024
Pontificia Universidad Católica de Valparaíso
2021
Hasselt University
2021
University of Ioannina
2021
TU Dresden
2019
This paper describes the convergence of some most influential technologies in last few years, namely data warehousing (DW), on-line analytical processing (OLAP), and Semantic Web (SW). OLAP is used by enterprises to derive important business-critical knowledge from inside company. However, interesting queries can no longer be answered on internal alone, external must also discovered (most often web), acquired, integrated, (analytically) queried, resulting a new type OLAP, exploratory OLAP....
Many methodologies have been presented to support the multidimensional design of data warehouse. First introduced were requirement-driven but semantics a warehouse require also consider sources along process. In following years, gained relevance in modeling and gave rise several data-driven that automate process from relational sources. Currently, research on is still hot topic we two main lines. On one hand, new hybrid automatic proposing combine approaches. other approaches focus...
This paper presents a new approach to automate the multidimensional design of Data Warehouses. In our we propose semi-automatable method aimed find business concepts from domain ontology representing different and potentially heterogeneous data sources domain.In short, identifies having nothing in common but that they are all described by an ontology.
Spreadsheet applications are one of the most used tools for content generation and presentation in industry Web.In spite this success, there does not exist a comprehensive approach to automatically extract reuse richness data maintained format.The biggest obstacle is lack awareness about structure spreadsheets, which otherwise could provide means understand knowledge from these files.In paper, we propose classification discover layout tables spreadsheets.Therefore, focus on cell level,...
Spreadsheet software are very popular data management tools. Their ease of use and abundant functionalities equip novices professionals alike with the means to generate, transform, analyze, visualize data. As a result, spreadsheets great resource factual structured information. This accentuates need automatically understand extract their contents. In this paper, we present novel approach for recognizing tables in spreadsheets. Having inferred layout role individual cells, build regions. We...
There is currently a burst of Big Data (BD) processed and stored in huge raw data repositories, commonly called Lakes (DL). These BD require new techniques integration schema alignment order to make the usable by its consumers discover relationships linking their content. This can be provided metadata services which describe However, there lack systematic approach for such kind discovery management. Thus, we propose framework profiling informational content DL, call information profiling....
In the last years, problems of using generic storage techniques for very specific applications has been detected and outlined. Thus, some alternatives to relational DBMSs (e.g., BigTable) are blooming. On other hand, cloud computing is already a reality that helps save money by eliminating hardware as well software fixed costs just pay per use. Indeed, tools exploit also here. The trend in this case toward based on MapReduce paradigm developed Google. paper, we explore possibility having...
Nowadays, it is widely accepted that the data warehouse design task should be largely automated. Furthermore, conceptual schema must structured according to multidimensional model and as a consequence, most common way automatically look for subjects dimensions of analysis by discovering functional dependencies (as functionally depend on fact) over sources. Most advanced methods automating carry out this process from relational OLTP systems, assuming RDBMS kind source we may find, taking...
Business intelligence (BI) systems depend on efficient integration of disparate and often heterogeneous data. The data is governed by data-intensive flows driven a set information requirements. Designing such in general complex process, which due to the complexity business environments hard be done manually. In this paper, we deal with challenge design maintenance propose an incremental approach, namely CoAl , for semi-automatically consolidating satisfying given works at logical level...