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首页> 外文会议>Transactions on computational collective intelligence XV >An Adaptative Multi-Agent System to Co-construct an Ontology from Texts with an Ontologist
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An Adaptative Multi-Agent System to Co-construct an Ontology from Texts with an Ontologist

机译：自适应的多智能体系统，可与文本与本体专家共同构建本体

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摘要

Ontologies are one of the most used representations to model the domain knowledge. An ontology consists of a set of concepts connected by semantic relations. The construction and evolution of an ontology are complex and time-consuming tasks. This paper presents DYNAMO-MAS, an Adaptive Multi-Agent System (AMAS) that automates these tasks by co-constructing an ontology from texts with an ontologist. Terms and concepts of a given domain are agentified and they act, according to the AMAS approach, by solving the non cooperative situations they locally perceive at runtime. These agents cooperate to determine their position in the AMAS (that is the ontology) thanks to (ⅰ) lexical relations between terms, (ⅱ) some adaptive mechanisms enabling addition, removing or moving of new terms, of concepts and of relations in the ontology as well as (ⅲ) feedbacks from the ontologist about the propositions given by the AMAS. This paper focuses on the instantiation of the AMAS approach to this difficult problem. It presents the architecture of DYNAMO-MAS, and details the cooperative behaviors of the two types of agents we defined for ontology evolution. Finally evaluations made on three different ontologies are given in order to show the genericity of our solution.
机译：本体是建模领域知识的最常用表示形式之一。本体由通过语义关系连接的一组概念组成。本体的构建和演化是复杂且耗时的任务。本文介绍了DYNAMO-MAS，这是一种自适应多代理系统（AMAS），它通过与本体专家共同构造文本本体来自动完成这些任务。给定域的术语和概念被代理化，并且根据AMAS方法，它们通过解决它们在运行时本地感知的非协作情况来起作用。由于（ⅰ）术语之间的词汇关系，（ⅱ）某些自适应机制可以使新的术语，概念和关系在本体中进行添加，删除或移动，因此这些主体协作确定其在AMAS（即本体）中的位置。以及本体专家对AMAS提出的建议的反馈。本文着重于AMAS方法针对此难题的实例化。它介绍了DYNAMO-MAS的体系结构，并详细介绍了我们为本体演化定义的两种类型的代理的协作行为。最后给出了对三种不同本体的评估，以显示我们解决方案的通用性。

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