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Glycobiology Meets the Semantic Web

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A Practical Guide to Using Glycomics Databases

Abstract

The improvement and diversification of experimental technologies have caused a flood of data. In order to share and integrate such huge and diverse data, it is important to describe the relationship between data using Semantic Web technology. A goal of the Semantic Web is that computers can automatically process data by linking meaningful data and by forming a web of data. The Semantic Web consists of key technologies such as Resource Description Framework (RDF), ontologies, triple stores (database for RDF), and SPARQL Protocol and RDF Query Language (SPARQL), which is a query language for triple stores. Although the Semantic Web has been used by some specific domains such as government and media, recently it is also applied to the life sciences. In this chapter, I will describe about the Semantic Web and its application to life science including glycobiology. Finally, I will introduce TogoTable, which is a web application using the Semantic Web, used for collecting annotations from distributed databases.

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Authors and Affiliations

  1. Database Center for Life Science, Research Organization of Information and Systems, 178-4-4 Wakashiba, 277-0871, Kashiwa, Chiba, Japan

    Shin Kawano

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  1. Shin Kawano
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Correspondence to Shin Kawano .

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Editors and Affiliations

  1. Faculty of Science and Engineering, Soka University, Hachioji, Tokyo, Japan

    Kiyoko F. Aoki-Kinoshita

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Kawano, S. (2017). Glycobiology Meets the Semantic Web. In: Aoki-Kinoshita, K. (eds) A Practical Guide to Using Glycomics Databases. Springer, Tokyo. https://doi.org/10.1007/978-4-431-56454-6_17

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