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Metalyzer is a extension to the IF-MAP visualization suite VisITMeta. It extends the VisITMeta dataservice to perform statistical methods and semantic(-like) queries on MAP graphs and visualize the results within a GUI. With the use of VisITMeta’s history of MAP data, time-variant analysis can be done. The software was developed during a tudents…

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Metalyzer

Metalyzer is a extension to the IF-MAP visualization suite VisITMeta (works with version 0.2.0 or newer).

It extends the VisITMeta dataservice to perform statistical methods and semantic(-like) queries on MAP graphs and visualize the results within a GUI. With the use of VisITMeta’s history of MAP data, time-variant analysis can be done.

The software was developed during a students project at Hochschule Hannover.

Background: VisITMeta

For more information about VisITMeta, take a look at its project page or the Github repository.

Prerequisites and pre-setup

Maven

In order to build Metalyzer with Maven you need to install Maven 3 manually or via the package manager of your operating system.

Installation of R engine

The dataservice module of Metalyer uses the R project for some of its statistical analysis. Prior to building Metalyzer you must install a R runtime on your system and set (at-least) the following environmental variables

Windows

R_HOME should be something like C:\Program Files\R\R-<version>

Linux

export R_HOME=/usr/lib/R
export CLASSPATH=.:/usr/lib/R/site-library/rJava/jri

Apple Mac OSX

export R_HOME=/Library/Frameworks/R.framework/Resources
export CLASSPATH=.:/Library/Frameworks/R.framework/Resources/library/rJava/jri

Building

This section describes, how to build Metalyer from scratch.

Install VisITMeta as a prerequisite

In order to build Metalyzer, you need to install VisITMeta, as some of its code from visitmeta-common is used in Metalyzer. To do so, load VisITMeta from our Github page and build it via $ mvn install instead of $ mvn package. After that, the libraries of VisITMeta should reside in your local Maven repository (~/.m2 in most cases).

Build Metaylzer

Now you can build Metalyzer via $ mvn package in the root directory of the Metalyzer project (the directory containing this README file). Maven should download all further needed dependencies for you. After a successful build you there are two important artifacts:

  1. metalyzer-dataservice-module-distribution: Copy the file target/metalyzer-dataservice-module-distribution-<version>-bundle.zip to a new folder called dataservice-modules within the VisITMeta application root directory and unzip it there.

  2. metalyzer-visualization-distribution: Unzip the file target/metalyzer-visualization-distribution-<version>-bundle.zip to a arbitrary place.

Running

  1. Start a MAP server, e.g. irond (Download section at [Trust@HsH website] 10 or via [Github] 6

  2. Change your working directory to the root directory of the VisITMeta project.

  3. Start the VisITMeta dataservice via $ sh start-dataservice.sh. This will try to load the Metalyzer dataservice module. If successfully loaded, you should see somethink like [main] INFO de.hshannover.f4.trust.metalyzer.api.MetalyzerModule - Metalyzer dataservice module v0.1.0 started successfully in the log output.

  4. Start the Metalyzer GUI via $ sh start-metalyzer.sh from within the directory containing the metalyzer-visualization-distribution.

  5. Publish some data. Within the scripts directory of VisITMeta, you will find some Shell scripts that work with our ifmapcli-tools and will publish and delete some metadata, so that you can test the statistical and semantical analysis functionality of Metalyzer.

Feedback

If you have any questions, problems or comments, please contact trust@f4-i.fh-hannover.de

License

Metalyzer is licensed under the Apache License, Version 2.0.


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Metalyzer is a extension to the IF-MAP visualization suite VisITMeta. It extends the VisITMeta dataservice to perform statistical methods and semantic(-like) queries on MAP graphs and visualize the results within a GUI. With the use of VisITMeta’s history of MAP data, time-variant analysis can be done. The software was developed during a tudents…

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