文章基本信息

标题：Linking geographic vocabularies through WordNet
本地全文：下载
作者：A. Ballatore ; M. Bertolotto ; D.C. Wilson 等
期刊名称：Annals of GIS
印刷版ISSN：1947-5683
出版年度：2014
卷号：20
期号：2
页码：73-84
DOI：10.1080/19475683.2014.904440
语种：English
出版社：Taylor & Francis Ltd.
摘要：The linked open data (LOD) paradigm has emerged as a promising approach to structuring and sharing geospatial information. One of the major obstacles to this vision lies in the difficulties found in the automatic integration between heterogeneous vocabularies and ontologies that provides the semantic backbone of the growing constellation of open geo-knowledge bases. In this article, we show how to utilize WordNet as a semantic hub to increase the integration of LOD. With this purpose in mind, we devise Voc2WordNet, an unsupervised mapping technique between a given vocabulary and WordNet, combining intensional and extensional aspects of the geographic terms. Voc2WordNet is evaluated against a sample of human-generated alignments with the OpenStreetMap (OSM) Semantic Network, a crowdsourced geospatial resource, and the GeoNames ontology, the vocabulary of a large digital gazetteer. These empirical results indicate that the approach can obtain high precision and recall.
关键词：geo-semantics;linked open data;OSM Semantic Network;SKOS;GeoNames;WordNet;OpenStreetMap;semantic alignment;semantic mapping;LIMES;Voc2WordNet