Search Results for author: Kurt Stockinger

Found 8 papers, 4 papers with code

Multiple Query Optimization using a Hybrid Approach of Classical and Quantum Computing

1 code implementation22 Jul 2021 Tobias Fankhauser, Marc E. Solèr, Rudolf M. Füchslin, Kurt Stockinger

Our experimental results demonstrate that our algorithm currently can only handle small problem sizes due to the limited number of qubits available on a gate-based quantum computer compared to a quantum computer based on quantum annealing.

ValueNet: A Natural Language-to-SQL System that Learns from Database Information

2 code implementations29 May 2020 Ursin Brunner, Kurt Stockinger

In this paper we propose ValueNet light and ValueNet -- two end-to-end NL-to-SQL systems that incorporate values using the challenging Spider dataset.


Database Search vs. Information Retrieval: A Novel Method for Studying Natural Language Querying of Semi-Structured Data

no code implementations LREC 2020 Stefanie Nadig, Martin Braschler, Kurt Stockinger

In this paper, we provide an adapted benchmark data set that is based on a test collection originally used to evaluate information retrieval systems.

Information Retrieval

Join Query Optimization with Deep Reinforcement Learning Algorithms

1 code implementation26 Nov 2019 Jonas Heitz, Kurt Stockinger

The main idea of FOOP is to use a data-adaptive learning query optimizer that avoids exhaustive enumerations of join orders and is thus significantly faster than traditional approaches based on dynamic programming.

Ensemble Learning Q-Learning +1

A Comparative Survey of Recent Natural Language Interfaces for Databases

no code implementations21 Jun 2019 Katrin Affolter, Kurt Stockinger, Abraham Bernstein

Each of the systems is evaluated using a curated list of ten sample questions to show their strengths and weaknesses.

VoIDext: Vocabulary and Patterns for Enhancing Interoperable Datasets with Virtual Links

1 code implementation5 Jun 2019 Tarcisio Mendes de Farias, Kurt Stockinger, Christophe Dessimoz

Semantic heterogeneity remains a problem when interoperating with data from sources of different scopes and knowledge domains.

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