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Knoth, Petr and Zdrahal, Zdenek
(2011).
URL: http://www.iaria.org/conferences2011/ProgramIMMM11...
Abstract
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.
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About
- Item ORO ID
- 29302
- Item Type
- Conference or Workshop Item
- Keywords
- text mining; automatic link generation and typing; semantic similarity; digital libraries; CORE
- Academic Unit or School
-
Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
Faculty of Science, Technology, Engineering and Mathematics (STEM) - Research Group
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Centre for Research in Computing (CRC)
Big Scientific Data and Text Analytics Group (BSDTAG) - Copyright Holders
- © 2011 IARIA
- Related URLs
-
- http://www.thinkmind.org/index.php?view=...(Author Website)
- Depositing User
- Kay Dave