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XGMML
XML/GML-based markup language

XGMML (the eXtensible Graph Markup and Modeling Language) is an XML application based on GML which is used for graph description.

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Functions

XGMML is an XML 1.0-based markup language based on the Graph Modeling Language. The language uses tags to describe the edges and notes on a graph. It is primarily used to make the graphs more easily exchangeable and readable by different graphing software.12 XGMML was created for WWWPal system and was intended for use containing the structural information of websites.3

XGMML is often used for data mining on websites.45

Applications supporting XGMML

  • Cytoscape, an open source bioinformatics software platform for visualizing molecular interaction networks, loads and saves networks and node/edge attributes in XGMML6
  • Biomax BioXM Knowledge Management Environment, a customizable knowledge management system for life sciences, supports export of semantic network graphs as XGMML files
  • JNets, a network visualization and analysis tool.

See also

  • LOGML, a markup language derived from XGMML

References

  1. The Dark Web: Breakthroughs in Research and Practice: Breakthroughs in Research and Practice. IGI Global. 2017-07-12. ISBN 978-1-5225-3164-7. 978-1-5225-3164-7 ↩

  2. Powell, James (2015-07-09). A Librarian's Guide to Graphs, Data and the Semantic Web. Elsevier. ISBN 978-1-78063-434-0. 978-1-78063-434-0 ↩

  3. Shakunthala, Rangarajan. Emerging Trends in Computing zncrtc 2010. Allied Publishers. ISBN 978-81-8424-622-3. 978-81-8424-622-3 ↩

  4. Kohavi, Ron; Masand, Brij M.; Spiliopoulou, Myra; Srivastava, Jaideep (2003-08-02). WEBKDD 2001 - Mining Web Log Data Across All Customers Touch Points: Third International Workshop, San Francisco, CA, USA, August 26, 2001, Revised Papers. Springer. ISBN 978-3-540-45640-7. 978-3-540-45640-7 ↩

  5. The Dark Web: Breakthroughs in Research and Practice: Breakthroughs in Research and Practice. IGI Global. 2017-07-12. ISBN 978-1-5225-3164-7. 978-1-5225-3164-7 ↩

  6. Powell, James (2015-07-09). A Librarian's Guide to Graphs, Data and the Semantic Web. Elsevier. ISBN 978-1-78063-434-0. 978-1-78063-434-0 ↩