An Approach for Representing Answer Sets in Natural Language

被引：1

作者：

Fang, Min ^{[1
]}

Tompits, Hans ^{[1
]}

机构：

[1] Tech Univ Wien, Inst Log & Computat, Knowledge Based Syst Grp E192 03, Favoritenstr 9-11, A-1040 Vienna, Austria

来源：

DECLARATIVE PROGRAMMING AND KNOWLEDGE MANAGEMENT, DECLARE 2017 | 2018年 / 10997卷

关键词：

ATTEMPTO CONTROLLED ENGLISH; PROGRAMS; SYSTEM;

D O I：

10.1007/978-3-030-00801-7_8

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In recent years, different methods for supporting the development of answer-set programming (ASP) code have been introduced. During such a development process, often it would be desirable to have a natural-language representation of answer sets, e.g., when dealing with domain experts unfamiliar with ASP. In this paper, we address this point and provide an approach for such a representation, defined in terms of a controlled natural language (CNL), which in turn relies on the annotation language Lana for the specification of meta-information for answer-set programs. Our approach has been implemented as an Eclipse plug-in for SeaLion, a dedicated IDE for ASP.

引用

页码：115 / 131

页数：17

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