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Context enabled semantic granularity

Author(s)
Albertoni, Riccardo  
Camossi, Elena  
De Martino, Monica  
Giannini, Franca  
Monti, Marina  
Uri
http://hdl.handle.net/10197/1443
Date Issued
2008-09-05
Date Available
2009-09-28T15:28:22Z
Abstract
In this paper we propose a powerful ontology driven method that eases the browsing of any repository of information resources described by an ontology: we provide a flexible semantic granularity method for the navigation of a repository according to different levels of abstraction, i.e. granularities. The granularity is explicitly parameterised according to the criteria induced by the context.
Sponsorship
Science Foundation Ireland; Irish Research Council for Science, Engineering & Technology
Type of Material
Conference Publication
Publisher
Springer-Verlag
Copyright (Published Version)
Springer-Verlag Berlin Heidelberg 2008
Subjects

Semantic granularity

User context

Subject – LCSH
Ontologies (Information retrieval)
Electronic information resource searching
DOI
10.1007/978-3-540-85565-1_84
Web versions
http://dx.doi.org/10.1007/978-3-540-85565-1_84
Language
English
Status of Item
Peer reviewed
Journal
Lovrek, I., Howlett, R. J., Jain, L. C. (eds.) Knowledge-based intelligent information and engineering systems : 12th International Conference, KES 2008, agreb, Croatia, 3-5 September 2008 : Proceedings, part II
Conference Details
Presented at the 12th International Conference on Knowledge-Based Intelligent Information and Engineering Systems (KES 2008), Zagreb, Croatia, 3-5 September 2008
ISBN
978-3-540-85564-4
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-sa/1.0/
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camossi_kes08.pdf

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Checksum (MD5)

784af7f5b93348d12900a17880aa216e

Owning collection
Computer Science Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
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