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ELES: Combining Entity Linking and Entity Summarization

机译:ELES:结合实体链接和实体摘要

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The automatic annotation of textual content with entities from a knowledge base is a well established field. Applications, such as DBpedia Spotlight and GATE enable to identify and disambiguate entities of text at high levels of accuracy. The output of such systems can be used in many different ways. One way is to show knowledge panels which provide a fact-based summary of an entity and provides further information as well as browsing options. Such fact-based summaries are produced by entity summarization systems. This paper presents ELES, a lightweight combination of DBpedia Spotlight and the SUMMA entity summarization interface. DBpedia Spotlight analyzes text and links fragments to entities of the DBpedia knowledge base. The LinkSUM summarizer (interfaced via the SUMMA API definition) produces fact-based summaries of DBpedia entities. The two applications are combined on the client side through the "Internationalization Tag Set 2.0" W3C recommendation and lightweight jQuery-based interfaces.
机译:从知识库的实体自动注释文本内容是一个已建立的字段。应用程序,例如DBPedia Spotlight和Gate使能以高精度识别和消除文本的实体。这种系统的输出可以以多种不同的方式使用。一种方式是显示提供基于事实的实体摘要的知识库,并提供了进一步的信息以及浏览选项。基于事实的摘要由实体摘要系统产生。本文介绍了ELES,一种轻量级组合的DBPedia聚光灯和Summa实体摘要界面。 DBPedia Spotlight分析文本并将片段链接到DBPedia知识库的实体。 Linksum摘要(通过Summa API定义接口)产生基于事实的DBPedia实体摘要。这两个应用程序通过“国际化标签集2.0”W3C推荐和基于轻量级jQuery的接口组合在客户端。

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