Search Results for author:
Found 8 papers, 4 papers with code
Multiple Query Optimization using a Hybrid Approach of Classical and Quantum Computing
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.
INODE: Building an End-to-End Data Exploration System in Practice [Extended Vision]
We demonstrate that our system is uniquely accessible to a wide range of users from larger scientific communities to the public.
ValueNet: A Natural Language-to-SQL System that Learns from Database Information
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
In this paper, we provide an adapted benchmark data set that is based on a test collection originally used to evaluate information retrieval systems.
A Methodology for Creating Question Answering Corpora Using Inverse Data Annotation
For this, we introduce an intermediate representation that is based on the logical query plan in a database called Operation Trees (OT).
Join Query Optimization with Deep Reinforcement Learning Algorithms
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.
A Comparative Survey of Recent Natural Language Interfaces for Databases
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
Semantic heterogeneity remains a problem when interoperating with data from sources of different scopes and knowledge domains.
