InBiodiv-O：印度生物多样性知识管理的本体
InBiodiv-O: An Ontology for Indian Biodiversity Knowledge Management
摘要：
为了表达生物多样性信息，需要一个语义模型来连接生物及其栖息地的各种数据。模型必须能够编码人类知识，以便机器理解。本体提供了最丰富的机器可解释（而不仅仅是机器可处理）和显式的语义，被广泛用于生物多样性领域。生物多样性领域开发了各种本体论，但对当前景观的审查表明，这些本体论无法定义印度的生物多样性信息，尽管印度是megadiversity国家之一。为了从语义上分析印度生物多样性信息，建立一个本体来描述网络上非结构化格式数据中的所有基本术语是至关重要的。由于本体的管理在很大程度上取决于这些实现的领域，因此还没有定义理想的方法论以供普遍使用。本文的目的是开发一个本体，语义编码的所有条款的印度生物多样性信息的所有方面的基础上提出的方法。对所提出的本体的综合评价表明，该本体在特定领域中构建得很好。
英文摘要：
To present the biodiversity information, a semantic model is required that connects all kinds of data about living creatures and their habitats. The model must be able to encode human knowledge for machines to be understood. Ontology offers the richest machine-interpretable (rather than just machine-processable) and explicit semantics that are being extensively used in the biodiversity domain. Various ontologies are developed for the biodiversity domain however a review of the current landscape shows that these ontologies are not capable to define the Indian biodiversity information though India is one of the megadiverse countries. To semantically analyze the Indian biodiversity information, it is crucial to build an ontology that describes all the essential terms of this domain from the unstructured format of the data available on the web. Since, the curation of the ontologies heavily depends on the domain where these are implemented hence there is no ideal methodology is defined yet to be ready for universal use. The aim of this article is to develop an ontology that semantically encodes all the terms of Indian biodiversity information in all its dimensions based on the proposed methodology. The comprehensive evaluation of the proposed ontology depicts that ontology is well built in the specified domain.
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。
