A design of semantics filter using the inductive learning algorithm for GIS

被引：0

作者：

Nerome, M ^{[1
]}

Yabiku, T ^{[1
]}

Matsuda, Y ^{[1
]}

Kang, DS ^{[1
]}

Miyagi, H ^{[1
]}

Onaga, K ^{[1
]}

机构：

[1] Okinawa Int Univ, Dept Econ, Okinawa, Japan

来源：

2003 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS, VOLS 1-5, CONFERENCE PROCEEDINGS | 2003年

关键词：

semantics filter; Geographic Information Systems (GIS); C4.5;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

We propose a semantics filter aimed at filtering unnecessary data for a user. In the Geographic Information Systems (GIS), the transfer of spatial data for each user is one of the important problems. We design a system that filters spatial data by using user's information adaptively. Our system derives the degree of geographical knowledge by the fuzzy reasoning and decides the priority of buildings by the C4.5 using user's information. Furthermore, in the process of the priority of buildings, we determine also the priority from geometrical and topological information. This paper describes a method for determining the priority of buildings.

引用

页码：367 / 372

页数：6

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