INODE: Building an End-to-End Data Exploration System in Practice [Extended Vision]

• URL: http://arxiv.org/abs/2104.04194v1
• Date: Fri, 9 Apr 2021 05:04:04 GMT
• Title: INODE: Building an End-to-End Data Exploration System in Practice [Extended Vision]
• Authors: Sihem Amer-Yahia (2), Georgia Koutrika (1), Frederic Bastian (7), Theofilos Belmpas (1), Martin Braschler (9), Ursin Brunner (9), Diego Calvanese (8), Maximilian Fabricius (5), Orest Gkini (1), Catherine Kosten (9), Davide Lanti (8), Antonis Litke (6), Hendrik L\"ucke-Tieke (3), Francesco Alessandro Massucci (6), Tarcisio Mendes de Farias (7), Alessandro Mosca (8), Francesco Multari (6), Nikolaos Papadakis (4), Dimitris Papadopoulos (4), Yogendra Patil (2), Aur\'elien Personnaz (2), Guillem Rull (6), Ana Sima (7), Ellery Smith (9), Dimitrios Skoutas (1), Srividya Subramanian (5), Guohui Xiao (8), Kurt Stockinger (9) ((1) Athena Research Center, Greece, (2) CNRS, University Grenoble Alpes, France, (3) Fraunhofer IGD, Germany, (4) Infili, Greece, (5) Max Planck Institute, Germany, (6) SIRIS Academic, Spain, (7) SIB Swiss Institute of Bioinformatics, Switzerland, (8) Free University of Bozen-Bolzano, Italy, (9) ZHAW Zurich University of Applied Sciences, Switzerland)
• Abstract summary: INODE is an end-to-end data exploration system. We demonstrate it in three significant use cases in the fields of Cancer Biomarker Reearch, Research and Innovation Policy Making, and Astrophysics.
• Score: 30.411996388471817
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: A full-fledged data exploration system must combine different access modalities with a powerful concept of guiding the user in the exploration process, by being reactive and anticipative both for data discovery and for data linking. Such systems are a real opportunity for our community to cater to users with different domain and data science expertise. We introduce INODE -- an end-to-end data exploration system -- that leverages, on the one hand, Machine Learning and, on the other hand, semantics for the purpose of Data Management (DM). Our vision is to develop a classic unified, comprehensive platform that provides extensive access to open datasets, and we demonstrate it in three significant use cases in the fields of Cancer Biomarker Reearch, Research and Innovation Policy Making, and Astrophysics. INODE offers sustainable services in (a) data modeling and linking, (b) integrated query processing using natural language, (c) guidance, and (d) data exploration through visualization, thus facilitating the user in discovering new insights. We demonstrate that our system is uniquely accessible to a wide range of users from larger scientific communities to the public. Finally, we briefly illustrate how this work paves the way for new research opportunities in DM.

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