(Ebook) A Librarian's Guide to Graphs, Data and the Semantic Web by James Powell; Matthew Hopkins ISBN 9781780634340, 9781843347538, 178063434X, 1843347539

(Ebook) A Librarian's Guide to Graphs, Data and the Semantic Web by James Powell; Matthew Hopkins ISBN 9781780634340, 9781843347538, 178063434X, 1843347539

Graphs are about connections, and are an important part of our connected and data-driven world. A Librarian's Guide to Graphs, Data and the Semantic Web is geared toward library and information science professionals, including librarians, software developers and information systems architects who want to understand the fundamentals of graph theory, how it is used to represent and explore data, and how it relates to the semantic web. This title provides a firm grounding in the field at a level suitable for a broad audience, with an emphasis on open source solutions and what problems these tools solve at a conceptual level, with minimal emphasis on algorithms or mathematics. The text will also be of special interest to data science librarians and data professionals, since it introduces many graph theory concepts by exploring data-driven networks from various scientific disciplines. The first two chapters consider graphs in theory and the science of networks, before the following chapters cover networks in various disciplines. Remaining chapters move on to library networks, graph tools, graph analysis libraries, information problems and network solutions, and semantic graphs and the semantic web.

[From the Back Cover]

Graph theory has long been used in a variety of scientific disciplines to model social networks, food webs, biological activities at a cellular level, crystalline structures, molecules and countless other phenomena. In Complexity Science, graph theory is used to study many types of complex systems and their emergent properties. The Semantic Web is a knowledge model based on graph theory, and has many applications in library and information science. A Librarian's Guide to Graphs, Data, and the Semantic Web is aimed at library and information science professionals including librarians, library technical staff, software engineers, data scientists, information architects and information retrieval specialists. It provides a comprehensive overview of graph theory and the Semantic Web, and includes many practical examples that illustrate how these technologies can be used to model and explore knowledge, data sets, and real world systems.

Key Points

• provides an accessible introduction to network science that is suitable for a broad audience

• • devotes several chapters to a survey of how graph theory has been used in a number of scientific disciplines
• • explores how graph theory could aid library and information scientists
• • introduces a broad range of open source tools that can be used to build graph analysis solutions