2.50
Hdl Handle:
http://hdl.handle.net/10547/593706
Title:
User-oriented ontology-based clustering of stored memories
Authors:
Shi, Lei; Setchi, Rossi
Abstract:
This research addresses the needs of people who find reminiscence helpful. It focuses on the development of a computerised system called a Life Story Book (LSB), which facilitates access and retrieval of stored memories used as the basis for positive interactions between elderly and young, and especially between people with cognitive impairment and members of their family or caregivers. To facilitate information management and dynamic generation of content, this paper introduces a semantic model of LSB which is based on the use of ontologies and advanced algorithms for feature selection and dimension reduction. Furthermore, the paper defines a light weight user-oriented domain ontology and its building principles. It then proposes an algorithm called Onto-SVD, which uses the user-oriented ontology to automatically detect the semantic relations within the stored memories. It combines semantic feature selection with k-means clustering and Singular Value Decomposition (SVD) to achieve topic identification based on semantic similarity. The experiments conducted explore the effect of semantic feature selection as a result of establishing indirect relations, with the help of the ontology, within the information content. The results show that Onto-SVD considerably outperforms SVD in both topic identification and semantic disambiguation.
Affiliation:
Cardiff University
Citation:
Shi, L., Setchi, R. (2012) 'User-oriented ontology-based clustering of stored memories' Expert systems with applications 39 (10) 9730-9742
Publisher:
Elsevier
Journal:
Expert systems with applications
Issue Date:
22-Feb-2012
URI:
http://hdl.handle.net/10547/593706
DOI:
10.1016/j.eswa.2012.02.087
Additional Links:
http://www.sciencedirect.com/science/article/pii/S0957417412003314
Type:
Article
Language:
en
ISSN:
0957-4174
Appears in Collections:
Centre for Research in Distributed Technologies (CREDIT)

Full metadata record

DC FieldValue Language
dc.contributor.authorShi, Leien
dc.contributor.authorSetchi, Rossien
dc.date.accessioned2016-01-18T13:09:18Zen
dc.date.available2016-01-18T13:09:18Zen
dc.date.issued2012-02-22en
dc.identifier.citationShi, L., Setchi, R. (2012) 'User-oriented ontology-based clustering of stored memories' Expert systems with applications 39 (10) 9730-9742en
dc.identifier.issn0957-4174en
dc.identifier.doi10.1016/j.eswa.2012.02.087en
dc.identifier.urihttp://hdl.handle.net/10547/593706en
dc.description.abstractThis research addresses the needs of people who find reminiscence helpful. It focuses on the development of a computerised system called a Life Story Book (LSB), which facilitates access and retrieval of stored memories used as the basis for positive interactions between elderly and young, and especially between people with cognitive impairment and members of their family or caregivers. To facilitate information management and dynamic generation of content, this paper introduces a semantic model of LSB which is based on the use of ontologies and advanced algorithms for feature selection and dimension reduction. Furthermore, the paper defines a light weight user-oriented domain ontology and its building principles. It then proposes an algorithm called Onto-SVD, which uses the user-oriented ontology to automatically detect the semantic relations within the stored memories. It combines semantic feature selection with k-means clustering and Singular Value Decomposition (SVD) to achieve topic identification based on semantic similarity. The experiments conducted explore the effect of semantic feature selection as a result of establishing indirect relations, with the help of the ontology, within the information content. The results show that Onto-SVD considerably outperforms SVD in both topic identification and semantic disambiguation.en
dc.language.isoenen
dc.publisherElsevieren
dc.relation.urlhttp://www.sciencedirect.com/science/article/pii/S0957417412003314en
dc.subjectreminiscenceen
dc.subjectLife Story Booken
dc.subjectuser-oriented ontologyen
dc.titleUser-oriented ontology-based clustering of stored memoriesen
dc.typeArticleen
dc.contributor.departmentCardiff Universityen
dc.identifier.journalExpert systems with applicationsen
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