Most of the major databases on the semantic web have links to Princeton WordNet (PWN) synonym set (synset) identifiers, which differ for each PWN release, and are thus incompatible between versions. On the other hand, both PWN and the more recent Open English Wordnet (OEWN) provide permanent word sense identifiers (the sense keys), which can solve this interoperability problem. We present an algorithm that runs in linear time, to automatically derive a synset mapping between any pair of Wordnet versions that use PWN sense keys. This allows to update old WordNet links, and seamlessly interoperate with newer English Wordnet versions for which no prior mapping exists. By applying the proposed algorithm on the fly, at load time, we combine the Open Multilingual Wordnet (OMW 1.4, which uses old PWN 3.0 identifiers) with OEWN Edition 2021, and obtain almost perfect precision and recall. We compare the results of our approach using respectively synset offsets, versus the Collaborative InterLingual Index (CILI version 1.0) as synset identifiers, and find that the synset offsets perform better than CILI 1.0 in all cases, except a few ties.

翻译：语义网中主流数据库大多关联至普林斯顿词网(PWN)同义词集标识符，这些标识符随PWN版本更新而变化，导致不同版本间无法兼容。然而，PWN及更新的开放英语词网(OEWN)均提供永久性词义标识符（义键），可解决这一互操作性问题。本文提出一种线性时间复杂度的算法，可自动推导任意一对使用PWN义键的词网版本间的同义词集映射。该方法既能更新旧版词网链接，又能与尚无预存映射的新版英语词网实现无缝互操作。通过在加载时在线应用该算法，我们将开放多语词网(OMW 1.4，使用旧版PWN 3.0标识符)与OEWN 2021版进行整合，获得近乎完美的精确率与召回率。我们分别采用同义词集偏移量和协同跨语言索引(CILI 1.0版)作为同义词集标识符进行对比实验，结果表明除少数持平情况外，同义词集偏移量在所有场景下均优于CILI 1.0。