IEICE TRANSACTIONS on Information
Incorporating Metadata into Data Mining with Ontology
Summary :
In this paper, we present a novel method to incorporate metadata into data mining. The method has many advantages. It can be completed automatically and is independent of a specific database. Firstly, we convert metadata into ontology. Then input a rule set to a reasoner, which supports rule-based inference over the ontology model. The outputs of the reasoner describe the prior knowledge in metadata. Finally, incorporate the prior knowledge into data mining.
- Publication
- IEICE TRANSACTIONS on Information Vol.E90-D No.6 pp.983-985
- Publication Date
- 2007/06/01
- Publicized
- Online ISSN
- 1745-1361
- DOI
- 10.1093/ietisy/e90-d.6.983
- Type of Manuscript
- LETTER
- Category
- Data Mining
Authors
Keyword
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Guoqi LI, Huanye SHENG, Xun FAN, "Incorporating Metadata into Data Mining with Ontology" in IEICE TRANSACTIONS on Information,
vol. E90-D, no. 6, pp. 983-985, June 2007, doi: 10.1093/ietisy/e90-d.6.983.
Abstract: In this paper, we present a novel method to incorporate metadata into data mining. The method has many advantages. It can be completed automatically and is independent of a specific database. Firstly, we convert metadata into ontology. Then input a rule set to a reasoner, which supports rule-based inference over the ontology model. The outputs of the reasoner describe the prior knowledge in metadata. Finally, incorporate the prior knowledge into data mining.
URL: https://global.ieice.org/en_transactions/information/10.1093/ietisy/e90-d.6.983/_p
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@ARTICLE{e90-d_6_983,
author={Guoqi LI, Huanye SHENG, Xun FAN, },
journal={IEICE TRANSACTIONS on Information},
title={Incorporating Metadata into Data Mining with Ontology},
year={2007},
volume={E90-D},
number={6},
pages={983-985},
abstract={In this paper, we present a novel method to incorporate metadata into data mining. The method has many advantages. It can be completed automatically and is independent of a specific database. Firstly, we convert metadata into ontology. Then input a rule set to a reasoner, which supports rule-based inference over the ontology model. The outputs of the reasoner describe the prior knowledge in metadata. Finally, incorporate the prior knowledge into data mining.},
keywords={},
doi={10.1093/ietisy/e90-d.6.983},
ISSN={1745-1361},
month={June},}
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TY - JOUR
TI - Incorporating Metadata into Data Mining with Ontology
T2 - IEICE TRANSACTIONS on Information
SP - 983
EP - 985
AU - Guoqi LI
AU - Huanye SHENG
AU - Xun FAN
PY - 2007
DO - 10.1093/ietisy/e90-d.6.983
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 present a novel method to incorporate metadata into data mining. The method has many advantages. It can be completed automatically and is independent of a specific database. Firstly, we convert metadata into ontology. Then input a rule set to a reasoner, which supports rule-based inference over the ontology model. The outputs of the reasoner describe the prior knowledge in metadata. Finally, incorporate the prior knowledge into data mining.
ER -
English
