Visual ontology alignment for knowledge sharing and reuse

Author:

Lanzenberger Monika,Sampson Jennifer J.,Rester Markus,Naudet Yannick,Latour Thibaud

Abstract

PurposeBy providing interoperability users can be supported in sharing and reusing vocabularies and knowledge. Ontology alignment plays an important role in the context of semantic interoperability. Usually ontology alignment tools generate results that are difficult to understand or assess. In order to enable users to check and improve alignment results and to understand their consequences information visualization techniques are used. The purpose of this paper is to discuss the relevant quality aspects in ontology alignment as well as current activities and available tools.Design/methodology/approachBased on a literature study quality measures for ontology alignment identified and requirements for visual ontology alignment are defined. As a proof of concepts a prototype called AlViz was developed.FindingsInformation visualization offers appropriate methods for the assessment of ontology alignment results. Different levels of detail and overview help users to navigate and understand the alignments. The assessment of semi‐structured resources by users involves learning activities. The neighborhood of the entity under investigation bears relevant semantic information. Therefore, assessment may include crisscrossing acquisition of knowledge representations and their semantics.Originality/valueAlong a comprehensive framework alignment assessment tasks are identified and visualization tool is introduced and applied which aims at making ontology alignment results manageable and comprehensible.

Publisher

Emerald

Subject

Management of Technology and Innovation,Strategy and Management

Reference42 articles.

1. Alani, H. (2003), “TGVizTab: an ontology visualization extension for Protégé”, Proceedings of Knowledge Capture (K‐Cap'03) Workshop on Visualization Information in Knowledge Engineering, Sanibel Island, FL, ACM Press, New York, pp. 2‐7, available at: http://eprints.ecs.soton.ac.uk/8326/01/Alani‐VIKE‐camera‐ready.pdf.

2. Bechhofer, S. and Volz, R. (2004), “Parsing owl dl: trees or triples?66”, Proceedings of the 13th International Conference on the World Wide Web, ACM Press, New York, NY, pp. 266‐75, available at: http://phoebus.cs.man.ac.uk:9999/OWL/Validator (accessed March 30, 2007).

3. Berners‐Lee, T. (1998), “Semantic web road map”, available at: www.w3.org/DesignIssues/Semantic.html (accessed March 30, 2007).

4. Card, S., Mackinlay, J. and Shneiderman, B. (1999), “Information visualization”, in Card, S., Mackinlay, J. and Shneiderman, B. (Eds), Readings in Information Visualization, Morgan Kauffman, San Francisco, CA, pp. 1‐34.

5. Coren, S. and Girgus, J. (1980), “Principles of perceptual organization and spatial distortion: the Gestalt illusion”, Journal of Experimental Psychology, Vol. 6, pp. 404‐12.

Cited by 17 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3