Categorisation by Context

Categorisation by Context
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按上下文分类

DOI:
10.3217/jucs-004-09-0719
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发表时间:
1998
期刊:
J. Univers. Comput. Sci.
影响因子:
--
通讯作者:
Davide Salvi
Davide Salvi
中科院分区:
--
文献类型:
--
作者:
Giuseppe Attardi;S. D. Marco;Davide Salvi

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传统的文档分类方法是按内容分类,因为用于对文档进行分类的信息是从文档本身提取的。在像Web这样的超文本环境中,可以利用文档的结构和链接拓扑来执行我们所谓的上下文分类[Attardi 98]:HTML文档中链接周围的上下文用于对链接所引用的文档进行分类。按上下文分类也能够处理多媒体材料,因为它不依赖于分析文件内容的能力。按上下文分类利用了当某人在Web上放置或引用文档时隐式执行的分类活动。通过集中分析一组人使用的文档,可以建立一个适应该组需求的目录。按背景进行的分类基于以下假设:
The traditional approach to document categorization is categorization by content, since information for categorizing a document is extracted from the document itself. In a hypertext environment like the Web, the structure of documents and the link topology can be exploited to perform what we call categorization by context [Attardi 98]: the context surrounding a link in an HTML document is used for categorizing the document referred by the link. Categorization by context is capable of dealing also with multimedia material, since it does not rely on the ability to analyze the content of documents. Categorization by context leverages on the categorization activity implicitly performed when someone places or refers to a document on the Web. By focusing the analysis to the documents used by a group of people, one can build a catalogue tuned to the need of that group. Categorization by context is based on the following assumptions:
用于增强全文数据库检索的临床出版物的上下文模型。
DOI: --
发表时间: 1995
期刊: Proceedings. Symposium on Computer Applications in Medical Care
影响因子: --
作者:
Purcell,GP;Shortliffe,EH
通讯作者: Shortliffe,EH