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Relational databases as a massive information source for defeasible argumentation

机译：关系数据库作为可行论证的海量信息源

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摘要

Argumentation provides a sophisticated yet powerful mechanism for the formahzation of commonsense reasoning in knowledge-based systems, with application in many areas of Artificial Intelligence. Nowadays, most argumentation systems build their arguments on the basis of a single, fixed knowledge base, often under the form of a logic program as in Defeasible Logic Programming or in Assumption-Based Argumentation. Currently, adding new information to such programs requires a manual encoding, which is not feasible for many real-world environments which involve large amounts of data, usually conceptualized as relational databases. This paper presents a novel approach to compute arguments from premises obtained from relational databases, identifying several relevant aspects. In our setting, different databases can be updated by external, independent applications, leading to changes in the spectrum of available arguments. We present algorithms for integrating a database management system with an argument-based inference engine. Empirical results and running-time analysis associated with our approach show that it provides a powerful alternative for efficiently achieving massive argumentation, taking advantage of modern DBMS technologies. We contend that our proposal is significant for developing new architectures for knowledge-based applications, such as Decision Support Systems and Recommender Systems, using argumentation as the underlying inference model.
机译：争论为基于知识的系统中常识推理的形式化提供了一种复杂而强大的机制，并在人工智能的许多领域中得到了应用。如今，大多数论证系统都基于单个固定的知识库来构建论据，通常采用逻辑程序的形式，如“不可行逻辑编程”或“基于假设的论证”。当前，向此类程序添加新信息需要手动编码，这对于许多涉及大量数据（通常概念化为关系数据库）的实际环境是不可行的。本文提出了一种从关系数据库获得的前提中计算论点的新颖方法，从而确定了几个相关方面。在我们的环境中，可以通过外部独立应用程序更新不同的数据库，从而导致可用参数范围的变化。我们提出了将数据库管理系统与基于参数的推理引擎集成在一起的算法。与我们的方法相关的经验结果和运行时分析表明，它为利用现代DBMS技术有效地实现大量论证提供了强大的替代方法。我们认为我们的建议对于使用论证作为基础推理模型为基于知识的应用程序（例如决策支持系统和推荐系统）开发新架构具有重要意义。

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  • 来源
    《Knowledge-Based Systems》 |2013年第10期|93-109|共17页
  • 作者

    Cristhian A.D. Deagustini; Santiago E. Fulladoza Dalibon; Sebastian Gottifredi; Marcelo A. Falappa; Carlos I. Chesnevar; Guillermo R. Simari;

  • 作者单位

    Artificial Intelligence Research and Development Laboratory, Department of Computer Science and Engineering. Universidad Nacional del Sur, Alem 1253. 8000 Bahia Blanca,Buenos Aires, Argentina,Agents and Intelligent Systems Area, Faculty of Management Sciences, Universidad Nacional de Entre Bios, Tavella 1424, 3200 Concordia, Entre Rios, Argentina,Consejo Nacional de Investigaciones Cientificas y Ticnicas, Av. Rivadavia 1917, (C1033AAJ) Ciudad Autdnoma de Buenos Aires, Argentina,Corresponding author at: Artificial Intelligence Research and Development Laboratory, Department of Computer Science and Engineering, Universidad Nac ional del Sur, Alem 1253, 8000 Bahia Blanca, Buenos Aires, Argentina;

    Agents and Intelligent Systems Area, Faculty of Management Sciences, Universidad Nacional de Entre Bios, Tavella 1424, 3200 Concordia, Entre Rios, Argentina,Consejo Nacional de Investigaciones Cientificas y Ticnicas, Av. Rivadavia 1917, (C1033AAJ) Ciudad Autdnoma de Buenos Aires, Argentina,Artificial Intelligence Research and Development Laboratory, Department of Computer Science and Engineering. Universidad Nacional del Sur, Alem 1253. 8000 Bahia Blanca,Buenos Aires, Argentina;

    Artificial Intelligence Research and Development Laboratory, Department of Computer Science and Engineering. Universidad Nacional del Sur, Alem 1253. 8000 Bahia Blanca,Buenos Aires, Argentina,Consejo Nacional de Investigaciones Cientificas y Ticnicas, Av. Rivadavia 1917, (C1033AAJ) Ciudad Autdnoma de Buenos Aires, Argentina;

    Artificial Intelligence Research and Development Laboratory, Department of Computer Science and Engineering. Universidad Nacional del Sur, Alem 1253. 8000 Bahia Blanca,Buenos Aires, Argentina,Consejo Nacional de Investigaciones Cientificas y Ticnicas, Av. Rivadavia 1917, (C1033AAJ) Ciudad Autdnoma de Buenos Aires, Argentina;

    Artificial Intelligence Research and Development Laboratory, Department of Computer Science and Engineering. Universidad Nacional del Sur, Alem 1253. 8000 Bahia Blanca,Buenos Aires, Argentina,Consejo Nacional de Investigaciones Cientificas y Ticnicas, Av. Rivadavia 1917, (C1033AAJ) Ciudad Autdnoma de Buenos Aires, Argentina;

    Artificial Intelligence Research and Development Laboratory, Department of Computer Science and Engineering. Universidad Nacional del Sur, Alem 1253. 8000 Bahia Blanca,Buenos Aires, Argentina;

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  • 正文语种 eng
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  • 关键词

    Knowledge-based systems; Defeasible argumentation; Relational databases; Massive argumentation; Argument-supporting data retrieval;

    机译：基于知识的系统;不合理的论点;关系数据库;大规模论证;支持参数的数据检索;

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