自旋在民族医药语义搜索中的应用

Dewi Wardani, Mauluah Susmawati
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引用次数: 0

摘要

印度尼西亚的生物多样性对人类生活非常有益。现有的民族医学应用程序都是使用传统的方法开发的,只使用SPARQL协议和RDF查询语言(SPARQL),因此在知识的表示和检索方面仍然存在局限性。传统的方法是基于关系数据库和本体,在查询过程中没有使用推理。因此,本研究提出了一种基于spql推理符号(SPIN)的药用植物语义搜索框架——民族医药语义搜索(SESS)。SESS主要由两部分组成,本体设计包括SPARQL推理符号库和查询过程。从执行时间、查询变化和准确性三个方面对实验进行了评估。得到的结果表明,精密度比为1,召回率为0.98,f测量值的平均值为0.99。使用SPIN还可以减少获得结果所需的时间。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
SESS: Utilization of SPIN for Ethnomedicine Semantic Search
Indonesia has biodiversity which is very beneficial for human life. Existing applications for ethnomedicine have been developed using conventional methods that only utilized SPARQL Protocol and RDF Query Language (SPARQL), so they still have limitations in representing knowledge and its retrieval. Those conventional methods are which based of relational database and ontology that has not utilized inference in its query process. Therefore, this work proposed SPIN for Enthnomedicine Semantic Search (SESS), a framework of the semantic search for medicinal plants that were developed by using SPIN (SPARQL Inferencing Notation). SESS has two main parts, the ontology design included SPARQL Inferencing Notation (SPIN) library and query process. The experiments were assessed in terms of execution time, query variation and accuracy. The obtained results showed a ratio of precision at 1, recall at 0.98 and the average value of the f-measure was 0.99. Utilizing SPIN also decrease the time consuming to obtain the result by around .
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