Knoth, Petr and Zdrahal, Zdenek
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The paper argues that automatic link generation and typing methods are needed to ﬁnd and maintain cross document links in large and growing textual collections. Such links are important to organise information and to support search and navigation. We present an experimental study on mining cross document links from a collection of 5000 documents. We identify a set of link types and show that the value of semantic similarity is a good distinguishing indicator.
|Item Type:||Conference Item|
|Copyright Holders:||2011 IARIA|
|Keywords:||text mining; automatic link generation and typing; semantic similarity; digital libraries|
|Academic Unit/Department:||Knowledge Media Institute|
|Interdisciplinary Research Centre:||Centre for Research in Computing (CRC)|
|Depositing User:||Kay Dave|
|Date Deposited:||18 Nov 2011 10:22|
|Last Modified:||24 Feb 2016 04:01|
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