• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>Iberian Conference on Information Systems and Technologies >Discovering semantic relations from unstructured data for ontology enrichment: Asssociation rules based approach
【24h】

Discovering semantic relations from unstructured data for ontology enrichment: Asssociation rules based approach

机译：从非结构化数据中发现语义关系，用于本体丰富的非结构化数据：基于ASSociation规则的方法

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Ontologies have been used in information system development as one of the main knowledge representation tool. Ontologies are composed by concepts, a hierarchy, arbitrary relations between concepts, and possibly other axioms. However, ontology building is a time-consuming process, and it should be supported by automatic finding of interesting, possible relationships among concepts. This paper describes how an analysis of co-occurrences of concepts in unstructured sources of information can be used to provide interesting relationships for enriching ontological structures. We apply association rule theory to construct ontological concept relations and evaluate the importance of such relations for supporting the building process of a domain ontology. Preliminary results were collected using scientific published papers from the building and construction sector, which were used as an input for applying our method. A knowledge browsing environment was developed in order to support the analysis process.
机译：本体在信息系统开发中已作为主要知识表示工具之一。本体由概念，层次结构，概念之间的任意关系组成，可能是其他公理组成。然而，本体建设是一种耗时的过程，应该通过自动发现有趣，可能的概念之间的关系来支持。本文介绍了如何使用非结构化信息来源的共同发生的概念的分析来提供有趣的关系，以丰富本体结构。我们申请协会规则理论来构建本体论概念关系，评价这些关系支持域本体论的建筑过程的重要性。使用来自建筑和建筑行业的科学公开论文收集初步结果，这些文件被用作应用我们的方法的投入。开发了知识浏览环境，以支持分析过程。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号