Advances in Spatial and Temporal Databases
Advances in Spatial and Temporal Databases
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DOI：
10.1007/978-3-319-22363-6
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发表时间：
2015
期刊：
影响因子：
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通讯作者：
Michael Gertz;M. Renz;Xiaofang Zhou;E. Hoel;Wei-Shinn Ku;Haiquan Chen;Liang Tang;Yan Huang;Chang-Tien Lu;S. Ravada
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文献类型：
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作者：
Michael Gertz;M. Renz;Xiaofang Zhou;E. Hoel;Wei-Shinn Ku;Haiquan Chen;Liang Tang;Yan Huang;Chang-Tien Lu;S. Ravada
AETAS是一个在线工具，用于将文本转换为具有时态表达式解析的RDF链接数据。AETAS完全遵循SOA架构，并可通过web服务访问。它实现了一种新的语义表示方法和从自然语言句子中构建的链接时态图。在本文中，我们提供了一个演示工具，它将规范化的时间表达式与语言语义框架结合起来，并创建了一个链接的RDF图，其中时间被定义为单个维度。该工具基于识别和规范化时态表达式的SUTime和提取句子语义的语言处理器FreeLing。AETAS的输出是一组时间丰富的三元组，可以将其存储在RDF数据库中，以便以后进行sparql查询。
AETAS is an online tool for converting text into RDF linked data with resolution of temporal expressions. AETAS follows fully SOA architecture and is accessible via web-service. It implements a novel approach for semantic representation and linked temporal graphs built from natural language sentences. In this paper, we present a demonstration tool, which combines the normalized temporal expressions with linguistic semantic frames and creates a linked RDF graph where time is defined as an individual dimension. The tool is based on SUTime which identifies and normalizes the temporal expressions and on FreeLing, a linguistic processor which extracts the semantics of sentences. The output of AETAS is a set of time-enriched triples that can be stored in a RDF database for later-SPARQL querying.