XGMML
In this article, we will explore everything related to XGMML, from its origins to its applications today. XGMML is a topic of great relevance in today's society, since it impacts various areas of daily life. Throughout the article, we will analyze its evolution over time, the challenges it currently presents and the possible solutions to face them. In addition, we will address the different perspectives that exist around XGMML, as well as the ethical and moral implications it raises. Join us on this tour through the fascinating world of XGMML!
XGMML (the eXtensible Graph Markup and Modeling Language) is an XML application based on GML which is used for graph description.
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 nodes on a graph. It is primarily used to make the graphs more easily exchangeable and readable by different graphing software.[1][2] 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.[4][1]
Applications supporting XGMML
- Cytoscape, an open source bioinformatics software platform for visualizing molecular interaction networks, loads and saves networks and node/edge attributes in XGMML[2]
- 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
- ^ a b The Dark Web: Breakthroughs in Research and Practice: Breakthroughs in Research and Practice. IGI Global. 2017-07-12. ISBN 978-1-5225-3164-7.
- ^ a b Powell, James (2015-07-09). A Librarian's Guide to Graphs, Data and the Semantic Web. Elsevier. ISBN 978-1-78063-434-0.
- ^ Shakunthala, Rangarajan. Emerging Trends in Computing zncrtc 2010. Allied Publishers. ISBN 978-81-8424-622-3.
- ^ 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.
External links
- XGMML Reference (archived copy, original link offline)
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