The Knowledge Increase Estimation Framework for Ontology Integration on the Instance Level

被引：5
|
作者：
Kozierkiewicz-Hetmanska, Adrianna [1 ]
Pietranik, Marcin [1 ]
Hnatkowska, Bogumila [1 ]
机构：
[1] Wroclaw Univ Sci & Technol, Fac Comp Sci & Management, Wybrzeze Wyspianskiego 27, PL-50370 Wroclaw, Poland
来源：
INTELLIGENT INFORMATION AND DATABASE SYSTEMS, ACIIDS 2017, PT I | 2017年 / 10191卷
关键词：
D O I：
10.1007/978-3-319-54472-4_1
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Integration of big collections of data is time and cost consuming process. It can be beneficial when the knowledge is distributed in different sources, or not - when different sources contain redundant information or, what worse, inconsistent information. Authors propose a formula to estimate knowledge increase after the process of ontology integration on the instance level. The validity of the formula was checked by a questionnaire and confirmed by a statistical study. The formula allows to estimate knowledge increase in objective manner.
引用
收藏
页码：3 / 12
页数：10
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