Description
Research Collaboration: Discovering Analytical Concepts from User Profiles
This collaboration aims to provide a metadata foundation for the user assistance features for next generation BI systems.
We focus on making metadata to be considered and handled as first-class citizens for user-centric BI systems. In the novel settings, the user wants to analyze data coming from external and non-controlled data sources. Therefore, the metadata need to be designed in a flexible and reusable manner to be utilized in the context of these new and heterogeneous data sources. Thus, we want to explore and define metadata to support the user analytical needs in these settings.
Goals
- Definition of the framework for analytical metadata to support the user analytical needs.
- Collection and exploitation of metadata artifacts to provide user assistance for data analysis.
Related publications
2020 |
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Rudra Pratap Deb Nath, Katja Hose, Torben Bach Pedersen, Oscar Romero, Amrit Bhattacharjee: SETLBI: An Integrated Platform for Semantic Business Intelligence. WWW (Companion Volume) 2020 |
Il-Yeol Song, Katja Hose, Oscar Romero: Proceedings of the 22nd International Workshop on Design, Optimization, Languages and Analytical Processing of Big Data co-located with EDBT/ICDT 2020 Joint Conference, DOLAP@EDBT/ICDT 2020, Copenhagen, Denmark, March 30, 2020. DOLAP 2020 |
Rudra Pratap Deb Nath, Oscar Romero, Torben Bach Pedersen, Katja Hose: High-Level ETL for Semantic Data Warehouses - Full Version. CoRR 2020 |
Il-Yeol Song, Katja Hose, Oscar Romero: Proceedings of the 22nd International Workshop on Design, Optimization, Languages and Analytical Processing of Big Data co-located with EDBT/ICDT 2020 Joint Conference, DOLAP@EDBT/ICDT 2020, Copenhagen, Denmark, March 30, 2020. DOLAP 2020 |
2017 |
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Muhammad Aamir Saleem, Rohit Kumar 0002, Toon Calders, Xike Xie, Torben Bach Pedersen: IMaxer: A Unified System for Evaluating Influence Maximization in Location-based Social Networks. CIKM 2017 |
Rohit Kumar 0002, Muhammad Aamir Saleem, Toon Calders, Xike Xie, Torben Bach Pedersen: Activity-Driven Influence Maximization in Social Networks. ECML/PKDD (3) 2017 |
Muhammad Aamir Saleem, Rohit Kumar 0002, Toon Calders, Xike Xie, Torben Bach Pedersen: Location Influence in Location-based Social Networks. WSDM 2017 |
Jovan Varga, Ekaterina Dobrokhotova, Oscar Romero, Torben Bach Pedersen, Christian Thomsen: SM4MQ: A Semantic Model for Multidimensional Queries. ESWC (1) 2017 |
Rudra Pratap Deb Nath, Katja Hose, Torben Bach Pedersen, Oscar Romero: SETL: A programmable semantic extract-transform-load framework for semantic data warehouses. Inf. Syst. 2017 |
2016 |
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Emmanouil Valsomatzis, Torben Bach Pedersen, Alberto Abelló, Katja Hose, Laurynas Siksnys: Towards constraint-based aggregation of energy flexibilities. e-Energy (Posters) 2016 |
Emmanouil Valsomatzis, Torben Bach Pedersen, Alberto Abelló, Katja Hose: Aggregating energy flexibilities under constraints. SmartGridComm 2016 |
Jovan Varga, Alejandro A. Vaisman, Oscar Romero, Lorena Etcheverry, Torben Bach Pedersen, Christian Thomsen: Dimensional enrichment of statistical linked open data. J. Web Semant. 2016 |
Jovan Varga, Lorena Etcheverry, Alejandro A. Vaisman, Oscar Romero, Torben Bach Pedersen, Christian Thomsen: QB2OLAP: Enabling OLAP on Statistical Linked Open Data. ICDE 2016 |
2013 |
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Alberto Abelló, Jérôme Darmont, Lorena Etcheverry, Matteo Golfarelli, Jose-Norberto Mazón, Felix Naumann, Torben Bach Pedersen, Stefano Rizzi, Juan Trujillo, Panos Vassiliadis, Gottfried Vossen: Fusion Cubes: Towards Self-Service Business Intelligence. IJDWM 2013 |