Enhancing information retrieval and resource discovery from data using the Semantic Web

机译：使用语义网增强数据的信息检索和资源发现

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Data are everywhere. Often the sheer quantities of data that is stored or archived in repositories or digital libraries make it difficult to navigate data; information in the data is obscured, particularly where we have Big Data. Traditionally, we record metadata on our data items to assist data classification and some information retrieval. The Semantic Web enables us to further unlock and enrich our data, by exploring how different data are related or connected. Using ontologies and Linked Data we can declare, navigate and discover semantic relationships. Relationships exist both locally, within the data, and globally, such that we can enhance our data with information retrieved from a wider context. To illustrate how the application of Semantic Web technologies aids data discovery and information retrieval, I discuss two case studies: (1) Sharing Ancient Wisdoms (SAWS), a Dynamic Library of information on selected ancient wisdom literature; and (2) the DEFRA DTC archive, a repository of data about freshwater quality in the UK.

机译：数据无处不在。通常，在存储库或数字图书馆中存储或归档的数据量巨大，因此难以导航数据。数据中的信息模糊不清，尤其是在我们拥有大数据的地方。传统上，我们在数据项上记录元数据，以帮助数据分类和某些信息检索。语义网使我们能够探索不同数据之间的关联或连接方式，从而进一步解锁和丰富我们的数据。使用本体和链接数据，我们可以声明，导航和发现语义关系。关系既存在于数据的本地，内部，也存在于全球，因此我们可以使用从更广泛的上下文中检索到的信息来增强数据。为了说明语义Web技术的应用如何帮助数据发现和信息检索，我讨论了两个案例研究：（1）共享古代智慧（SAWS），这是一个关于选定古代智慧文献的动态信息库；（2）DEFRA DTC档案，这是英国淡水质量数据的存储库。

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《2015 4th International Symposium on Emerging Trends and Technologies in Libraries and Information Services》|2015年|105-110|共6页
会议地点 Noida(IN)
作者
Jordanous Anna;
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作者单位

Sch. of Comput., Univ. of Kent - Medway, Chatham, UK;

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会议组织
原文格式 PDF
正文语种 eng
中图分类
关键词
Big Data; data mining; information resources; information retrieval; ontologies (artificial intelligence); pattern classification; semantic Web; Big Data; DEFRA DTC archive; Linked Data; SAWS; data classification; data discovery; digital libraries; dynamic library; freshwater quality; information resource discovery; information retrieval; ontologies; semantic Web; semantic relationships; sharing ancient wisdoms; Libraries; Ontologies; Resource description framework; Semantics; Surface acoustic waves; Vocabulary; data repos;

机译：大数据;数据挖掘;信息资源;信息检索;本体（人工智能）;模式分类;语义Web;大数据; DEFRA DTC存档;链接数据; SAWS;数据分类;数据发现;数字图书馆;动态图书馆;淡水质量信息资源发现信息检索本体语义Web语义关系共享古代智慧图书馆本体资源描述框架语义表面声波词汇数据仓库;

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2. Provenance data discovery through Semantic Web resources [J] . Tatiane Ornelas, Regina Braga, José Maria N. David, Concurrency and Computation . 2018,第6期

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3. Applications and methods utilizing the Simple Semantic Web Architecture and Protocol (SSWAP) for bioinformatics resource discovery and disparate data and service integration [J] . Rex T Nelson, Shulamit Avraham, Randy C Shoemaker, BioData Mining . 2010,第1期

机译：利用简单语义网络体系结构和协议（SSWAP）进行生物信息学资源发现以及不同数据和服务集成的应用程序和方法
4. Enhancing information retrieval and resource discovery from data using the Semantic Web [C] . Jordanous Anna International Symposium on Emerging Trends and Technologies in Libraries and Information Services . 2015

机译：使用语义Web增强信息检索和资源发现
5. Automated discovery, categorization and retrieval of personalized semantically enriched e-learning resources. [D] . Zhuhadar, Leyla. 2009

机译：个性化语义丰富的电子学习资源的自动发现，分类和检索。
6. Applications and methods utilizing the Simple Semantic Web Architecture and Protocol (SSWAP) for bioinformatics resource discovery and disparate data and service integration [O] . Rex T Nelson, Shulamit Avraham, Randy C Shoemaker, 2010

机译：利用简单语义网络体系结构和协议（SSWAP）进行生物信息学资源发现以及不同数据和服务集成的应用程序和方法
7. Applications and methods utilizing the Simple Semantic Web Architecture and Protocol (SSWAP) for bioinformatics resource discovery and disparate data and service integration [O] . Rex T Nelson, Shulamit Avraham, Randy C Shoemaker, 2010

机译：利用简单语义网络体系结构和协议（SSWAP）进行生物信息学资源发现以及不同数据和服务集成的应用程序和方法

Enhancing information retrieval and resource discovery from data using the Semantic Web

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