Clingraph: A System for ASP-based Visualization

IF 1.4 2区数学 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING

Theory and Practice of Logic Programming Pub Date : 2024-02-14 DOI:10.1017/s147106842400005x

SUSANA HAHN, ORKUNT SABUNCU, TORSTEN SCHAUB, TOBIAS STOLZMANN

引用次数: 0

Abstract

We present the Answer Set Programming (ASP)-based visualization tool clingraph, which aims at visualizing various concepts of ASP by means of ASP itself. This idea traces back to the aspviz tool and clingraph redevelops and extends it in the context of modern ASP systems. More precisely, clingraph takes graph specifications in terms of ASP facts and hands them over to the graph visualization system graphviz. The use of ASP provides a great interface between logic programs and/or answer sets and their visualization. Also, clingraph offers a Python application programming interface (API) that extends this ease of interfacing to clingo’s API and in turn to connect and monitor various aspects of the solving process.

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Clingraph：基于 ASP 的可视化系统

我们介绍基于答案集编程（ASP）的可视化工具 clingraph，其目的是通过 ASP 本身可视化 ASP 的各种概念。这一理念可追溯到 aspviz 工具，而 clingraph 则在现代 ASP 系统的背景下对其进行了重新开发和扩展。更确切地说，clingraph 以 ASP 事实的形式获取图形规范，并将其交给图形可视化系统 graphviz。 ASP 的使用为逻辑程序和/或答案集及其可视化提供了一个很好的接口。此外，clingraph 还提供了一个 Python 应用程序编程接口（API），将这种接口的便捷性扩展到 clingo 的 API，进而连接并监控解题过程的各个方面。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Theory and Practice of Logic Programming 工程技术-计算机：理论方法

CiteScore

4.50

自引率

21.40%

发文量

审稿时长

>12 weeks

期刊介绍： Theory and Practice of Logic Programming emphasises both the theory and practice of logic programming. Logic programming applies to all areas of artificial intelligence and computer science and is fundamental to them. Among the topics covered are AI applications that use logic programming, logic programming methodologies, specification, analysis and verification of systems, inductive logic programming, multi-relational data mining, natural language processing, knowledge representation, non-monotonic reasoning, semantic web reasoning, databases, implementations and architectures and constraint logic programming.