一种从文本资源中发现语义特征的方法

2011 Sixth International Workshop on Semantic Media Adaptation and Personalization Pub Date : 2011-12-01 DOI:10.1109/SMAP.2011.13

C. Vicient, D. Sánchez, Antonio Moreno

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引用次数: 2

摘要

侧重于文本数据处理的数据分析算法依赖于从文本中提取相关特征及其形式语义的适当关联。本文提出了一种辅助此任务的方法，即用背景本体中的概念对提取的文本特征进行注释。该方法是自动且无监督的，并且它是按照通用方式设计的，因此它可以应用于从纯文本到半结构化资源(如维基百科文章)的文本资源。该系统已经在旅游目的地和维基百科文章中进行了测试，显示出令人满意的结果。

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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A Methodology to Discover Semantic Features from Textual Resources

Data analysis algorithms focused on processing textual data rely on the extraction of relevant features from text and the appropriate association to their formal semantics. In this paper, a method to assist this task, annotating extracted textual features with concepts from a background ontology, is presented. The method is automatic and unsupervised and it has been designed in a generic way, so it can be applied to textual resources ranging from plain text to semi-structured resources (like Wikipedia articles). The system has been tested with tourist destinations and Wikipedia articles showing promising results.

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2011 Sixth International Workshop on Semantic Media Adaptation and Personalization

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