Ontology Enrichment with Text Extracted from Wikipedia

E. Tramontana, Gabriella Verga
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引用次数: 1

Abstract

As biobanks require storing a large amount of data, the use of ontologies offer an effective solution to properly organise data and for data management. However, the specialised jargon embedded into an ontology, especially in the biomedical field, may constitute a difficulty for the people outside the proper domain. Our solution to this is to enhance ontology usability by automatically enriching an ontology. In this article we illustrate an enrichment process that allows us to expand in a controlled way the terms within an ontology. Our proposed enrichment process automatically adds in the ontological structure information extracted from external sources, in order to offer a more complete and clear knowledge of the domain and let users more easily query the ontology. Our enrichment process carefully selects from the wealth of information available in Wikipedia.
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从维基百科中提取文本来充实本体
由于生物银行需要存储大量数据,使用本体为正确组织数据和数据管理提供了有效的解决方案。然而,嵌入到本体论中的专业术语,特别是在生物医学领域,可能会给专业领域以外的人带来困难。我们的解决方案是通过自动丰富本体来增强本体的可用性。在本文中,我们将演示一个丰富过程,它允许我们以受控的方式扩展本体中的术语。我们提出的丰富过程自动添加了从外部来源提取的本体结构信息,以提供更完整和清晰的领域知识,让用户更容易查询本体。我们的丰富过程从维基百科的丰富信息中精心选择。
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