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摘要翻译：
在本体匹配领域，对匹配系统最系统的评估是由本体匹配评估倡议(OAEI)建立的，这是由不同的研究人员组织的一年一度的对本体匹配系统进行评估的活动。在本文中，我们报告了OAEI2011.5的中介OAEI运动的结果。对这场运动的评价分为五个轨道。与以前的OAEI运动相比，其中三条赛道是新的或已经改进。总的来说，我们评估了18个匹配系统。我们讨论了从可伸缩性、多语言问题和处理不同领域的真实案例的能力方面吸取的经验教训。
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英文标题：
《Evaluating Ontology Matching Systems on Large, Multilingual and
Real-world Test Cases》
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作者：
Christian Meilicke (1), Ondrej Sv\'ab-Zamazal (2), C\'assia Trojahn
(3), Ernesto Jim\'enez-Ruiz (4), Jos\'e-Luis Aguirre (3), Heiner
Stuckenschmidt (1), Bernardo Cuenca Grau (4) ((1) University of Mannheim, (2)
University of Economics Prague, (3) INRIA and LIG Grenoble, (4) University of
Oxford)
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最新提交年份：
2012
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分类信息：
一级分类：Computer Science 计算机科学
二级分类：Artificial Intelligence 人工智能
分类描述：Covers all areas of AI except Vision, Robotics, Machine Learning, Multiagent Systems, and Computation and Language (Natural Language Processing), which have separate subject areas. In particular, includes Expert Systems, Theorem Proving (although this may overlap with Logic in Computer Science), Knowledge Representation, Planning, and Uncertainty in AI. Roughly includes material in ACM Subject Classes I.2.0, I.2.1, I.2.3, I.2.4, I.2.8, and I.2.11.
涵盖了人工智能的所有领域，除了视觉、机器人、机器学习、多智能体系统以及计算和语言（自然语言处理），这些领域有独立的学科领域。特别地，包括专家系统，定理证明（尽管这可能与计算机科学中的逻辑重叠），知识表示，规划，和人工智能中的不确定性。大致包括ACM学科类I.2.0、I.2.1、I.2.3、I.2.4、I.2.8和I.2.11中的材料。
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英文摘要：
In the field of ontology matching, the most systematic evaluation of matching systems is established by the Ontology Alignment Evaluation Initiative (OAEI), which is an annual campaign for evaluating ontology matching systems organized by different groups of researchers. In this paper, we report on the results of an intermediary OAEI campaign called OAEI 2011.5. The evaluations of this campaign are divided in five tracks. Three of these tracks are new or have been improved compared to previous OAEI campaigns. Overall, we evaluated 18 matching systems. We discuss lessons learned, in terms of scalability, multilingual issues and the ability do deal with real world cases from different domains.
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PDF链接：
https://arxiv.org/pdf/1208.3148
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