从语言网络资源计算聚合:捷克共和国部门/交通事故案例研究

2008 The Second International Conference on Advanced Engineering Computing and Applications in Sciences Pub Date : 2008-09-29 DOI:10.1109/ADVCOMP.2008.17

J. Dedek, P. Vojtás

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引用次数: 3

摘要

语义计算旨在将人类的意图与计算内容联系起来。我们提出了一个此类问题的研究:从大量相似语言的Web资源中提取信息，计算各种聚合(sum, average，…)。在我们的激励例子中，我们计算某一时期某一地区交通事故中受伤人数的总和。我们只用捷克语写的页面。我们的解决方案利用了现有的语言工具，最初是为一个语法注释的语料库创建的，即Prague Dependency Treebank (PDT 2.0)。提出了一种学习树查询的解决方案，从PDT2.0标注中提取数据，并在本体中进行数据转换。这种方法不限于捷克语，可以与任何结构化的语言表示一起使用。我们给出了我们的方法的概念证明。这使得可以在语言Web资源上计算各种聚合。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Computing Aggregations from Linguistic Web Resources: A Case Study in Czech Republic Sector/Traffic Accidents

Semantic computing aims to connect the intention of humans with computational content. We present a study of a problem of this type: extract information from large number of similar linguistic Web resources to compute various aggregations (sum, average,...). In our motivating example we calculate the sum of injured people in traffic accidents in a certain period in a certain region. We restrict ourselves to pages written in Czech language. Our solution exploits existing linguistic tools created originally for a syntactically annotated corpus, Prague Dependency Treebank (PDT 2.0). We propose a solutions which learns tree queries to extract data from PDT2.0 annotations and transforms the data in an ontology. This method is not limited to Czech language and can be used with any structured linguistic representation. We present a proof of concept of our method. This enables to compute various aggregations over linguistic Web resources.

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2008 The Second International Conference on Advanced Engineering Computing and Applications in Sciences

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