Semantic Web Machine Reading with FRED
Semantic Web Machine Reading with FRED
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DOI：
10.3233/sw-160240
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发表时间：
2017-01-01
期刊：
影响因子：
3
通讯作者：
Mongiovi, Misael
中科院分区：
文献类型：
--
作者：
Gangemi, Aldo;Presutti, Valentina;Mongiovi, Misael
形式机器阅读器是一种能够将自然语言文本转换为形式结构化知识的工具，以便后者可以由机器根据共享语义进行解释。FRED是一个语义网的形式化机器阅读器：它的输出是一个RDF/OWL图，其设计基于框架语义。FRED的图是领域和任务独立的，使该工具适合用作领域或任务特定应用程序的语义中间件。为了达到这个目的，它可以作为REST服务和Python库使用。本文详细介绍了FRED的功能，设计问题，实施和评估。
A formal machine reader is a tool able to transform natural language text into formal structured knowledge so as the latter can be interpreted by machines, according to a shared semantics. FRED is a formal machine reader for the semantic web: its output is a RDF/OWL graph, whose design is based on frame semantics. FRED's graph are domain- and task-independent, making the tool suitable to be used as a semantic middleware for domain- or task-specific applications. To serve this purpose, it is available both as REST service and as Python library. This paper provides details about FRED's capabilities, design issues, implementation and evaluation.