A Landmark-Based Scalable Semantic Resource Discovery Scheme
Summary :
In this paper, we propose an efficient resource discovery scheme for large-scale ubiquitous computing environments, which supports scalable semantic searches and load balancing among resource discovery resolvers. Here, the resources are described based on the concepts defined in the ontological hierarchy. To semantically search the resources in a scalable manner, we propose a semantic vector space and semantic resource discovery network in which the resources are organized based on their respective semantic distances. Most importantly, landmarks are introduced for the first time to reduce the dimensionality of the vector space. Computer simulation with CAN verifies the effectiveness of the proposed scheme.
- Publication
- IEICE TRANSACTIONS on Information Vol.E90-D No.6 pp.986-989
- Publication Date
- 2007/06/01
- Publicized
- Online ISSN
- 1745-1361
- DOI
- 10.1093/ietisy/e90-d.6.986
- Type of Manuscript
- LETTER
- Category
- Networks
Authors
Keyword
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Saehoon KANG, Younghee LEE, Dongman LEE, Hee Yong YOUN, "A Landmark-Based Scalable Semantic Resource Discovery Scheme" in IEICE TRANSACTIONS on Information,
vol. E90-D, no. 6, pp. 986-989, June 2007, doi: 10.1093/ietisy/e90-d.6.986.
Abstract: In this paper, we propose an efficient resource discovery scheme for large-scale ubiquitous computing environments, which supports scalable semantic searches and load balancing among resource discovery resolvers. Here, the resources are described based on the concepts defined in the ontological hierarchy. To semantically search the resources in a scalable manner, we propose a semantic vector space and semantic resource discovery network in which the resources are organized based on their respective semantic distances. Most importantly, landmarks are introduced for the first time to reduce the dimensionality of the vector space. Computer simulation with CAN verifies the effectiveness of the proposed scheme.
URL: https://global.ieice.org/en_transactions/information/10.1093/ietisy/e90-d.6.986/_p
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@ARTICLE{e90-d_6_986,
author={Saehoon KANG, Younghee LEE, Dongman LEE, Hee Yong YOUN, },
journal={IEICE TRANSACTIONS on Information},
title={A Landmark-Based Scalable Semantic Resource Discovery Scheme},
year={2007},
volume={E90-D},
number={6},
pages={986-989},
abstract={In this paper, we propose an efficient resource discovery scheme for large-scale ubiquitous computing environments, which supports scalable semantic searches and load balancing among resource discovery resolvers. Here, the resources are described based on the concepts defined in the ontological hierarchy. To semantically search the resources in a scalable manner, we propose a semantic vector space and semantic resource discovery network in which the resources are organized based on their respective semantic distances. Most importantly, landmarks are introduced for the first time to reduce the dimensionality of the vector space. Computer simulation with CAN verifies the effectiveness of the proposed scheme.},
keywords={},
doi={10.1093/ietisy/e90-d.6.986},
ISSN={1745-1361},
month={June},}
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TY - JOUR
TI - A Landmark-Based Scalable Semantic Resource Discovery Scheme
T2 - IEICE TRANSACTIONS on Information
SP - 986
EP - 989
AU - Saehoon KANG
AU - Younghee LEE
AU - Dongman LEE
AU - Hee Yong YOUN
PY - 2007
DO - 10.1093/ietisy/e90-d.6.986
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E90-D
IS - 6
JA - IEICE TRANSACTIONS on Information
Y1 - June 2007
AB - In this paper, we propose an efficient resource discovery scheme for large-scale ubiquitous computing environments, which supports scalable semantic searches and load balancing among resource discovery resolvers. Here, the resources are described based on the concepts defined in the ontological hierarchy. To semantically search the resources in a scalable manner, we propose a semantic vector space and semantic resource discovery network in which the resources are organized based on their respective semantic distances. Most importantly, landmarks are introduced for the first time to reduce the dimensionality of the vector space. Computer simulation with CAN verifies the effectiveness of the proposed scheme.
ER -
English
