Linked Data & the Semantic Web Standards

A. Hogan
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引用次数: 7

Abstract

On the traditional World Wide Web we all know and love, machines are used as brokers of content: they store, organize, request, route, transmit, receive, and display content encapsulated as documents. In order for machines to process the content of documents automatically—for whatever purpose— they primarily require two things: machine-readable structure and semantics. Unfortunately, despite various advancements in the area of Natural Language Processing (NLP) down through the decades, modern computers still struggle to meaningfully process the idiosyncratic structure and semantics of natural language due to ambiguities present in grammar, coreference and word-sense. Hence, machines require a more “formal” notion of structure and semantics using unambiguous grammar, referencing, and vocabulary.
关联数据和语义Web标准
在我们都熟悉和喜爱的传统万维网上,机器被用作内容的代理:它们存储、组织、请求、路由、传输、接收和显示封装为文档的内容。为了使机器能够自动处理文档的内容——无论出于何种目的——它们主要需要两样东西:机器可读的结构和语义。不幸的是,尽管几十年来自然语言处理(NLP)领域取得了各种进步,但由于语法、共指和词义存在歧义,现代计算机仍然难以有意义地处理自然语言的特殊结构和语义。因此,机器需要更“正式”的结构和语义概念,使用明确的语法、引用和词汇。
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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