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Library,Documentation and Information Science Division

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borderland which separates the known from the unknown”

-P.C.Mahalanobis


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Librarian's guide to graphs, data and the semantic web / James Powell and Matthew Hopkins.

By: Contributor(s): Series: Chandos information professional seriesPublication details: Waltham, Mass. : Chandos Publishing, c2015.Description: xxvi, 242 p. : illustrations (some color) ; 23 cmISBN:
  • 9781843347538
Subject(s): DDC classification:
  • 025.0427 23 P884
Contents:
1. Graphs in theory -- 2. Graphs and how to make them -- 3. Graphs and the semantic web -- 4. RDF and its serializations -- 5. Ontologies -- 6. SPARQL -- 7. Inferencing, reasoning, and rules -- 8. Understanding linked data -- 9. Library networks-coauthorship, citation, and usage graphs -- 10. Networks in life sciences -- 11. Biological networks -- 12. Networks in economics and business -- 13. Networks in chemistry and physics -- 14. Social networks -- 15. Upper ontologies -- 16. Library metadata ontologies -- 17. Time -- 18. Drawing and serializing graphs -- 19. Graph analytics techniques -- 20. Graph analytics software libraries -- 21. Semantic repositories and how to use them -- 22. Graph databases and how to use them -- 23. Case studies -- Index.
Summary: A Librarians 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.
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Holdings
Item type Current library Call number Status Date due Barcode Item holds
Books ISI Library, Kolkata 025.0427 P884 (Browse shelf(Opens below)) Available 136775
Total holds: 0

Includes index.

1. Graphs in theory --
2. Graphs and how to make them --
3. Graphs and the semantic web --
4. RDF and its serializations --
5. Ontologies --
6. SPARQL --
7. Inferencing, reasoning, and rules --
8. Understanding linked data --
9. Library networks-coauthorship, citation, and usage graphs --
10. Networks in life sciences --
11. Biological networks --
12. Networks in economics and business --
13. Networks in chemistry and physics --
14. Social networks --
15. Upper ontologies --
16. Library metadata ontologies --
17. Time --
18. Drawing and serializing graphs --
19. Graph analytics techniques --
20. Graph analytics software libraries --
21. Semantic repositories and how to use them --
22. Graph databases and how to use them --
23. Case studies --
Index.

A Librarians 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.

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