The properties of property alignment on the semantic web

作     者：Cheatham, Michelle Pesquita, Catia Oliveira, Daniela McCurdy, Helena B. 

作者机构：Computer Science and Engineering Wright State University DaytonOH United States Department of Informatics University of Lisbon Lisbon Portugal Insight Centre for Data Analytics National University of Ireland Galway Ireland 

出 版 物：《International Journal of Metadata, Semantics and Ontologies》 (Int. J. Metadata Semant. Ontol.)

年 卷 期：2018年第13卷第1期

页      面：42-56页

核心收录：

学科分类：1205[管理学-图书情报与档案管理] 08[工学] 0835[工学-软件工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：This work was supported by the National Science Foundation award ICER-1440202 "EarthCube Building Blocks: Collaborative Proposal: GeoLink - Leveraging Semantics and Linked Data for Data Sharing and Discovery in the Geosciences." and the Portuguese Funda cao para a Ciecia e Tecnologia UID/CEC/00408/2013 and PTDC/EEIESS/ 4633/2014 

主　　题：Ontology 

摘      要：The performance of alignment systems on property matching lags behind that on class and instance matching. This work seeks to understand the reasons for this and consider avenues for improvement. The paper contains an exploration of the performance of current alignment systems on the only commonly accepted alignment benchmark that involves matches between properties. A second benchmark involving properties from DBPedia and YAGO, scaled to be within the capabilities of most existing alignment systems, is also proposed. A basic approach focused on aligning properties is then presented and evaluated using both benchmarks to serve as a baseline against which to compare more complex matchers on the property alignment task. The results show that even a relatively simplistic approach can achieve a significantly higher F-measure than current matchers. Finally, an existing full-featured alignment system is augmented with the basic property matching approach and the difference in performance is assessed. Copyright © 2018 Inderscience Enterprises Ltd.