Assessment of Name Based Algorithms for Land Administration Ontology Matching

被引：2

作者：

Zarembo, Imants ^{[1
]}

Teilans, Artis ^{[1
]}

Rausis, Aldis ^{[2
]}

Buls, Jazeps ^{[2
]}

机构：

[1] Rezekne Univ Appl Sci, Fac Engn, LV-4601 Rezekne, Latvia

[2] State Land Serv Latvia, LV-1050 Riga, Latvia

来源：

ICTE IN REGIONAL DEVELOPMENT | 2014年 / 43卷

关键词：

Domain ontology; Edit distance; Land administration; Ontology matching; String similarity;

D O I：

10.1016/j.procs.2014.12.008

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

The purpose of this paper is to tackle semantic heterogeneity problem between land administration domain ontologies using name based ontology matching approach. The majority of ontology matching solutions use one or more string similarity measures to determine how similar two concepts are. Due to wide variety of available general purpose techniques it is not always clear which ones to use for a specific domain. The goal of this research is to evaluate several most applicable string similarity measures for use in land administration domain ontology matching. To support the research ontology matching tool prototype is developed, where the proposed algorithms are implemented. The practical results of ontology matching for State Land Service of Latvia are presented and analyzed. Matching of Land Administration Domain Model international standard, present Latvian Land Administration ontology is conducted. (C) 2015 The Authors. Published by Elsevier B.V.

引用

页码：53 / 61

页数：9

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