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A Constraint-based Method for Semantic Mapping from Natural Language Questions to OWL

机译：从自然语言问题到OWL的基于约束的语义映射方法

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摘要

The goal of an on-line ontology-based question-answering system is to automatically derive answers from ontology knowledge bases without demanding additional information or intervention from users. This paper focuses on the problem of automatically mapping the tokens of a question into OWL elements, as an important step towards the further construction of answers. This problem can be essentially viewed as that of question understanding. The basic ideas underlying our method can be stated as follows: first we translate the tokens of a question as well as their syntactical and semantic relations (as in NLP) into constrained question variables and functions, and thereafter, we utilize an optimization-based assigning mechanism to substitute the question variables with the corresponding constructs in OWL knowledge bases. In the paper, we discuss our preliminary studies using the questions collected from, and the knowledge base built at, the International WIC Institute (WICI).
机译：基于本体的在线问答系统的目标是从本体知识库自动获取答案，而无需用户提供其他信息或干预。本文着重于将问题的标记自动映射到OWL元素中的问题，这是进一步构建答案的重要步骤。从本质上讲，这个问题可以看作是对问题的理解。我们的方法所基于的基本思想可以描述如下：首先，我们将问题的标记以及它们的句法和语义关系（如在NLP中一样）转换为受约束的问题变量和函数，然后，我们使用基于优化的分配用OWL知识库中的相应构造替换问题变量的机制。在本文中，我们将使用从国际WIC研究所（WICI）收集的问题和建立的知识库来讨论我们的初步研究。

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