Use this url to cite publication: https://hdl.handle.net/20.500.12259/46110
Linguistically enhanced clustering of technical publications
Type of publication
Straipsnis konferencijos medžiagoje Scopus duomenų bazėje / Article in conference proceedings in Scopus database (P1a2)
Author(s)
Author | Affiliation | |
---|---|---|
Gindiyeh, Mahmoud | ||
Title [en]
Linguistically enhanced clustering of technical publications
Is part of
KMIS 2009 : proceedings of the international conference on knowledge management and information sharing, Madeira, 6 - 8 October, 2009, Portugal / ed. Kecheng Liu. Portugal : INSTICC, 2009
Date Issued
Date |
---|
2009 |
Publisher
Portugal : INSTICC, 2009
Is Referenced by
Extent
p. 324-327
Abstract (en)
Organizing documents and performing search is a common but not a trivial task in information systems. With the increasing number of documents, it is becoming crucial to automate these processes. Clustering is a solution for organizing large amount of documents. In this article we propose a method of improving document retrieval that was implemented in RKB Knowledge Base. Our method heavily relies on linguistic analysis, which aims to identify document specific noun phrases. We applay an adjusted hierarchical clustering algorithm for learning clusters of documents.
Type of document
type::text::journal::journal article::research article
Language
Anglų / English (en)
Coverage Spatial
Portugalija / Portugal (PT)
ISBN (of the container)
9789896740139
Other Identifier(s)
VDU02-000007952