Semantic Technology: An Efficient Approach to Monogenean Information Retrieval

Alfred S, Arpah A, L. H. S. Li, Sarinder K K S
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Abstract

Biological data is huge and increasing rapidly therefore data storing and mining will become major challenges. We have encountered several key problems related to limitations in the database management system (DBMS) used and information retrieval in our in-house Monogenean-host database. In this paper we will be presenting the ontology developed that is specific to our dataset using semantic technology to overcome these problems. Our Taxonomy ontology is built based on accepted taxonomic classification system and semantic key identifier therefore problems in information retrieval are minimized. Our focus is on the images used in taxonomy and how to retrieve them based on semantic identifiers.
语义技术:单基因信息检索的一种有效方法
生物数据量巨大且增长迅速,因此数据的存储和挖掘将成为重大挑战。我们遇到了几个关键问题,这些问题与使用的数据库管理系统(DBMS)的局限性和我们内部Monogenean-host数据库的信息检索有关。在本文中,我们将介绍使用语义技术开发的针对我们数据集的本体,以克服这些问题。我们的分类法本体是基于公认的分类法分类系统和语义关键标识符构建的,从而最大限度地减少了信息检索中的问题。我们的重点是分类法中使用的图像以及如何基于语义标识符检索它们。
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