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Time normalization is the task of converting natural language temporal expressions into machine-readable representations. It underpins many downstream applications in information retrieval, question answering, and clinical decision-making.…

Computation and Language · Computer Science 2025-07-10 Xin Su , Sungduk Yu , Phillip Howard , Steven Bethard

We investigate the possibility of a semantic account of the execution time (i.e. the number of beta-steps leading to the normal form, if any) for the shuffling calculus, an extension of Plotkin's call-by-value lambda-calculus. For this…

Logic in Computer Science · Computer Science 2019-04-25 Giulio Guerrieri

We present a semi-automated framework to construct and reason about programs in a deeply-embedded while-language. The while-language we consider is a simple computation model that can simulate (and be simulated by) Turing Machines with a…

Logic in Computer Science · Computer Science 2025-04-22 Kevin Kappelmann , Fabian Huch , Lukas Stevens , Mohammad Abdulaziz

This paper explores verification of constituent systems within the context of the Symphony tool platform for Systems of Systems (SoS). Our SoS modelling language, CML, supports various contractual specification elements, such as state…

Software Engineering · Computer Science 2014-05-09 Luis Diogo Couto , Simon Foster , Richard Payne

{log} (read 'setlog') was born as a Constraint Logic Programming (CLP) language where sets and binary relations are first-class citizens, thus fostering set programming. Internally, {log} is a constraint satisfiability solver implementing…

Logic in Computer Science · Computer Science 2026-03-13 Maximiliano Cristiá , Alfredo Capozucca , Gianfranco Rossi

By introducing a common representational system for metadata that describe the employed simulation workflows, diverse sources of data and platforms in computational molecular engineering, such as workflow management systems, can become…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-12-20 M. T. Horsch , C. Niethammer , G. Boccardo , P. Carbone , S. Chiacchiera , M. Chiricotto , J. D. Elliott , V. Lobaskin , P. Neumann , P. Schiffels , M. A. Seaton , I. T. Todorov , J. Vrabec , W. L. Cavalcanti

We propose a framework grounded in Logic Programming for representing and reasoning about business processes from both the procedural and ontological point of views. In particular, our goal is threefold: (1) define a logical language and a…

Artificial Intelligence · Computer Science 2014-10-08 Fabrizio Smith , Maurizio Proietti

We propose a symbolic execution method for programs that can draw random samples. In contrast to existing work, our method can verify randomized programs with unknown inputs and can prove probabilistic properties that universally quantify…

Programming Languages · Computer Science 2022-09-19 Zachary Susag , Sumit Lahiri , Justin Hsu , Subhajit Roy

Leveraging concepts from state machine refinement proofs, we use prophecy variables, which predict information about the future program execution, to enable forward reasoning for backward dataflow analyses. Drawing prophecy and history…

Programming Languages · Computer Science 2020-07-24 Martin Rinard , Austin Gadient

Hybrid systems are dynamical systems with continuous evolution of states and discrete evolution of states and governing equations. We have worked on the design and implementation of HydLa, a constraint-based modeling language for hybrid…

Programming Languages · Computer Science 2019-10-29 Kazunori Ueda , Hiroshi Hosobe , Daisuke Ishii

Transaction-level modeling with SystemC has been very successful in describing the behavior of embedded systems by providing high-level executable models, in which many of them have inherent probabilistic behaviors, e.g., random data and…

Software Engineering · Computer Science 2017-12-07 Van Chan Ngo , Axel Legay

Generating controllable indoor scenes is fundamental to applications in game development, architectural visualization, and embodied AI. However, existing approaches either support a limited input modalities or rely on implicit generation…

Computer Vision and Pattern Recognition · Computer Science 2026-05-20 Wentang Chen , Shougao Zhang , Yiman Zhang , Tianhao Zhou , Ruihui Li

Traditionally the integration of data from multiple sources is done on an ad-hoc basis for each analysis scenario and application. This is a solution that is inflexible, incurs in high costs, leads to "silos" that prevent sharing data…

Traditional Business Process Management (BPM) focuses on discrete events and fails to incorporate critical continuous sensor data in cyber-physical environments. Hybrid declarative specifications, utilizing Signal Temporal Logic (STL),…

Software Engineering · Computer Science 2025-12-08 Stefan Schönig , Leo Poss , Fabrizio Maria Maggi

Many universities have courses and projects revolving around compiler or interpreter implementation as part of their degree programmes in computer science. In such teaching activities, tool support can be highly beneficial. While there are…

Programming Languages · Computer Science 2022-09-21 Georgian-Vlad Saioc , Hans Hüttel

In this paper we propose a logic-based, framework inspired by artificial intelligence, but scaled down for practical database and programming applications. Computation in the framework is viewed as the task of generating a sequence of state…

Logic in Computer Science · Computer Science 2014-04-25 Robert Kowalski , Fariba Sadri

This paper describes a deductive approach to synthesizing imperative programs with pointers from declarative specifications expressed in Separation Logic. Our synthesis algorithm takes as input a pair of assertions---a pre- and a…

Programming Languages · Computer Science 2018-11-12 Nadia Polikarpova , Ilya Sergey

This paper presents an implementation of a smart power system using inter-device communication and supervisory control through Simulink integrated with the physical system. This control includes features of real-time control, load…

Systems and Control · Electrical Eng. & Systems 2019-07-09 Muhammad Sarwar , Anas Ramzan , Muhammad Usman Naseer , Bilal Asad

Information Flow Control (IFC) is a collection of techniques for ensuring a no-write-down no-read-up style security policy known as noninterference. Traditional methods for both static and dynamic IFC suffer from untenable numbers of false…

Cryptography and Security · Computer Science 2020-05-27 Maximilian Algehed , Cormac Flanagan

By adequate employing of complex event processing (CEP), valuable information can be extracted from the underlying complex system and used in controlling and decision situations. An example application area is management of IT systems for…

Software Engineering · Computer Science 2012-08-02 Istvan David