SGER: Semantic Technologies for Automatic Indexing and Tagging

自动索引的领域将通过从语义角度的自动内容抽象来探索。健壮的语言处理技术用于生成称为词汇网的多用途数据结构。它们又被用于自动语义索引程序中，该程序旨在解析、索引和超链接在线文本。这项研究涉及三个主要领域：词汇网实现的数据结构设计；词汇网获取工具的设计，该工具利用语言学和统计启发式方法来开发健壮的有限状态语法，用于对重要短语级别和语篇级别的成分进行组块；以及文档注释工具的设计，该工具通过创建适当的超链接来使用词汇网来注释文本。创建词汇网可以加快以高度索引和交叉索引格式提供信息的速度，促进导航和快速获取信息。

The area of automatic indexing is to be explored via automatic content abstraction from a semantic perspective. Robust language processing techniques are used to generate multipurpose data structures called lexical webs. These are, in turn, used in an automated semantic indexing program designed to parse, index, and hyperlink on-line texts. The research involves three major areas: data structure design for implementation of lexical webs; design of lexical web acquisition tools that utilize linguistic and statistical heuristics for developing robust finite-state grammars for chunking of significant phrase-level and discourse-level constituents; and design of document annotation tools that annotate a text with lexical webs by creating appropriate hyperlinks. The creation of lexical webs can accelerate the availability of information in a highly indexed and cross- indexed format, facilitating navigation and rapid information access.