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Table Question-Answering involves both understanding the natural language query and grounding it in the context of the input table to extract the relevant information. In this context, many methods have highlighted the benefits of…

Databases · Computer Science 2024-02-22 Raphaël Mouravieff , Benjamin Piwowarski , Sylvain Lamprier

Use of machine learning to perform database operations, such as indexing, cardinality estimation, and sorting, is shown to provide substantial performance benefits. However, when datasets change and data distribution shifts, empirical…

Machine Learning · Computer Science 2024-11-12 Sepanta Zeighami , Cyrus Shahahbi

The defunctionalization translation that eliminates higher-order functions from programs forms a key part of many compilers. However, defunctionalization for dependently-typed languages has not been formally studied. We present the first…

Programming Languages · Computer Science 2023-04-11 Yulong Huang , Jeremy Yallop

The notion of bounded expansion captures uniform sparsity of graph classes and renders various algorithmic problems that are hard in general tractable. In particular, the model-checking problem for first-order logic is fixed-parameter…

Students introduced to programming using a design-based approach and a functional programming language become familiar with first-class functions. They rarely, however, connect first-class functions to objects and object-oriented program…

Computers and Society · Computer Science 2022-08-15 Marco T. Morazán

A common approach to data analysis involves understanding and manipulating succinct representations of data. In earlier work, we put forward a succinct representation system for relational data called factorised databases and reported on…

Databases · Computer Science 2013-07-02 Nurzhan Bakibayev , Tomáš Kočiský , Dan Olteanu , Jakub Závodný

We show how the complexity of higher-order functional programs can be analysed automatically by applying program transformations to a defunctionalized versions of them, and feeding the result to existing tools for the complexity analysis of…

Logic in Computer Science · Computer Science 2015-06-17 Martin Avanzini , Ugo Dal Lago , Georg Moser

In this paper we present the first goal-driven query answering technique for first- and second-order dependencies with equality. Our technique transforms the input dependencies so that applying the chase to the output avoids many inferences…

Artificial Intelligence · Computer Science 2026-05-08 Efthymia Tsamoura , Boris Motik

First-order logic is the basis for many knowledge representation formalisms and methods. Providing technological support for learning to write first-order formulas for natural language specifications requires methods to test formulas for…

Logic in Computer Science · Computer Science 2026-02-24 Fabian Vehlken , Thomas Zeume , Emilio Carrasco Bustamante , Maëlle Cornély , Lukas Pradel

Big data management aims to establish data hubs that support data in multiple models and types in an all-around way. Thus, the multi-model database system is a promising architecture for building such a multi-model data store. For an…

Databases · Computer Science 2021-05-18 Yu Yan , Nan Jiang , Hongzhi Wang , Yutong Wang , Chang Liu , Yuzhuo Wang

When writing SQL queries, it is often convenient to use correlated subqueries. However, for the database engine, these correlated queries are very difficult to evaluate efficiently. The query optimizer will therefore try to eliminate the…

Databases · Computer Science 2024-12-06 Thomas Neumann

Functional programming comes in two flavours: one where ``functions are first-class citizens'' (we call this applicative) and one which is based on equations (we call this declarative). In relational programming clauses play the role of…

Programming Languages · Computer Science 2007-05-23 H. Ibrahim , M. H. van Emden

We study the problem of deciding satisfiability of first order logic queries over views, our aim being to delimit the boundary between the decidable and the undecidable fragments of this language. Views currently occupy a central place in…

Logic in Computer Science · Computer Science 2008-12-18 James Bailey , Guozhu Dong , Anthony Widjaja To

We address the problem of semantic querying of relational databases (RDB) modulo knowledge bases using very expressive knowledge representation formalisms, such as full first-order logic or its various fragments. We propose to use a…

Logic in Computer Science · Computer Science 2009-05-03 Alexandre Riazanov

This paper describes the first-order logical environment FOLE. Institutions in general, and logical environments in particular, give equivalent heterogeneous and homogeneous representations for logical systems. As such, they offer a…

Logic in Computer Science · Computer Science 2013-05-23 Robert E. Kent

The notion of class is ubiquitous in computer science and is central in many formalisms for the representation of structured knowledge used both in knowledge representation and in databases. In this paper we study the basic issues…

Artificial Intelligence · Computer Science 2011-05-30 D. Calvanese , M. Lenzerini , D. Nardi

We unify functional and logic programming by treating predicatesas functions equipped with their support: the set of inputs whose output is nonzero. Datalog, for instance, is a language of finitely supported boolean functions. Finite…

Programming Languages · Computer Science 2026-04-30 Michael Arntzenius , Max Willsey

The ranked retrieval model has rapidly become the de facto way for search query processing in client-server databases, especially those on the web. Despite of the extensive efforts in the database community on designing better ranking…

Databases · Computer Science 2016-11-09 Abolfazl Asudeh , Nan Zhang , Gautam Das

A class of relational databases has low degree if for all $\delta>0$, all but finitely many databases in the class have degree at most $n^{\delta}$, where $n$ is the size of the database. Typical examples are databases of bounded degree or…

Databases · Computer Science 2023-06-22 Arnaud Durand , Nicole Schweikardt , Luc Segoufin

We apply foundation models to data discovery and exploration tasks. Foundation models include large language models (LLMs) that show promising performance on a range of diverse tasks unrelated to their training. We show that these models…

Databases · Computer Science 2024-04-09 Moe Kayali , Anton Lykov , Ilias Fountalis , Nikolaos Vasiloglou , Dan Olteanu , Dan Suciu