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Design and collection of ontological metadata for enhancing interoperability of language resources

机译:设计和收集本体元数据以增强语言资源的互操作性

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This paper describes the design and implementation of a large scale ontological database named SHACHI, storing detailed metadata on language resources (LRs) in Asian and Western countries. SHACHI has been constructed to enhance the interoperability of LRs, that is, to effectively combine LRs, to systematically store LR metadata, to provide a common infrastructure for web services, to investigate languages, tag sets, and formats compiled in LRs, and to ultimately utilise all these factors for more efficient development of LRs. This ontological metadata database, containing more than 2,000 compiled LRs such as corpora, dictionaries, thesauruses and lexicons, has an aspect of an archive of a large scale metadata of LRs, and its website is now open to the public and accessible to all internet users. SHACH1 metadata set is an extended version of OLAC metadata set which conforms to Dublin Core metadata element set. This paper first presents the methodologies to systematically store LR metadata and efficiently LR catalogues, and then explains the structure of the ontological metadata database, as well as the realisation of the LR catalogue search tool. The usefulness of the ontology search function has been investigated.
机译:本文介绍了名为SHACHI的大规模本体数据库的设计和实现,该数据库存储有关亚洲和西方国家语言资源(LR)的详细元数据。 SHACHI的构建旨在增强LR的互操作性,即有效地组合LR,系统地存储LR元数据,提供Web服务的通用基础结构,调查在LR中编译的语言,标签集和格式,并最终利用所有这些因素来更有效地开发LR。这个本体元数据数据库包含2,000多个已编译的LR,例如语料库,词典,同义词词典和词典,具有一个大型LR元数据存档的方面,其网站现已向公众开放,所有互联网用户均可访问。 SHACH1元数据集是OLAC元数据集的扩展版本,它符合Dublin Core元数据元素集。本文首先介绍了系统地存储LR元数据和有效LR目录的方法,然后说明了本体元数据数据库的结构以及LR目录搜索工具的实现。已经研究了本体搜索功能的有用性。

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