Exploring Databases via Reverse Engineering Ranking Queries with PALEO

Zusammenfassung
A novel approach to explore databases using ranked lists is demonstrated. Working with ranked lists, capturing the relative performance of entities, is a very intuitive and widely applicable concept. Users can post lists of entities for which explanatory SQL queries and full result lists are returned. By refining the input, the results, or the queries, users can interactively explore the database content. The demonstrated system was previously presented at VLDB 2016 and is centered around our PALEO framework for reverse engineering OLAP-style database queries. How is this useful for exploring data?
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  • BibTeX
Panev, K., Michel, S., Milchevski, E. & Pal, K., (2017). Exploring Databases via Reverse Engineering Ranking Queries with PALEO. In: Mitschang, B., Nicklas, D., Leymann, F., Schöning, H., Herschel, M., Teubner, J., Härder, T., Kopp, O. & Wieland, M. (Hrsg.), Datenbanksysteme für Business, Technologie und Web (BTW 2017). Gesellschaft für Informatik, Bonn. (S. 617-618).
@inproceedings{mci/Panev2017,
author = {Panev, Kiril AND Michel, Sebastian AND Milchevski, Evica AND Pal, Koninika},
title = {Exploring Databases via Reverse Engineering Ranking Queries with PALEO},
booktitle = {Datenbanksysteme für Business, Technologie und Web (BTW 2017)},
year = {2017},
editor = {Mitschang, Bernhard AND Nicklas, Daniela AND Leymann, Frank AND Schöning, Harald AND Herschel, Melanie AND Teubner, Jens AND Härder, Theo AND Kopp, Oliver AND Wieland, Matthias} ,
pages = { 617-618 },
publisher = {Gesellschaft für Informatik, Bonn},
address = {}
}
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ISBN: 978-3-88579-659-6
ISSN: 1617-5468
Datum: 2017
Sprache: en (en)
Typ: Text/Conference Paper
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