重新审视间接本体对齐：跨语言语境下的新对齐问题
Revisiting Indirect Ontology Alignment : New Challenging Issues in Cross-Lingual Context
摘要：
本体对齐过程在知识工程中被压倒性地引用为旨在绕过异构性并协调由本体表示的各种数据源的关键机制，即，语义网的基石。在这样的基础设施和环境中，假设覆盖特定知识领域的所有本体都成对对齐是不可想象的。此外，对准方法的高性能与两个因素密切相关，即，时间消耗和机器资源限制。因此，高质量的比对是有价值的，并且利用它们将是适当的。基于此，本文介绍了一种在跨语言环境下本体间接对齐的新方法。事实上，所提出的方法处理多语言本体的对齐，并实现了一个间接的本体对齐策略的组成和重用的基础上有效的直接对齐。所提出的方法过程的触发器是基于对齐代数，它管理的关系和置信度值的语义组成。经过彻底和详细的实验，所获得的结果是非常令人鼓舞的，并突出了新提出的方法的许多积极方面。
英文摘要：
Ontology alignment process is overwhelmingly cited in Knowledge Engineering as a key mechanism aimed at bypassing heterogeneity and reconciling various data sources, represented by ontologies, i.e., the the Semantic Web cornerstone. In such infrastructures and environments, it is inconceivable to assume that all ontologies covering a particular domain of knowledge are aligned in pairs. Moreover, the high performance of alignment approaches is closely related to two factors, i.e., time consumption and machine resource limitations. Thus, good quality alignments are valuable and it would be appropriate to exploit them. Based on this observation, this article introduces a new method of indirect alignment of ontologies in a cross-lingual context. Indeed, the proposed method deals with alignments of multilingual ontologies and implements an indirect ontology alignment strategy based on a composition and reuse of effective direct alignments. The trigger of the proposed method process is based on alignment algebra which governs the semantics composition of relationships and confidence values. The obtained results, after a thorough and detailed experiment are very encouraging and highlight many positive aspects about the new proposed method.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
