Apache Uima Download
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To get started with UIMA, you first have to installthe Apache UIMA Java SDK release package. The packages areavailable at the UIMAdownload pagein different data formats for different platforms.Choose for example the .zip packages when you workon Windows or the .tar.gz packages when you work onLinux. Further we have two different package types,the binary distribution that contains the compiledsources with script files to run the tooling and thesource distribution that only contains the sourcesof the release.
The package you want to download and install is the core Java SDK package. (Other packages include additional annotators and tools, and an Asynchronous Scaleout package enabling deployment of UIMA configurations using clusters of machines, for higher performance.)
To install the core UIMA SDK you have to:Download the perferred binary distributionpackage. To verify the download you can use thesignature files provided for each file. For details onhow to verify the download please refer to"Verifying a Release Download"Unzip the downloaded release package to a target directory of yourchoice.Create an UIMA_HOME environment variablethat points to the target directory whereyou have unzipped the downloaded release package.If you haven't already set a JAVA_HOMEvariable, create a JAVA_HOME environmentvariable that points to a JDK (JavaDevelopment Kit) of your choice. UIMArequires at least a Java level 1.5 to run.For more details about the supported Javaversions, please refer to the READMEdocument of the release package.Optional: If you want to have the UIMAscript files in the PATH environmentvariable of your system you additionallyhave to add $UIMA_HOME/bin (or for Windows%UIMA_HOME%\bin) to your PATH settings.Optional: To use the provided examples youhave to adjust the examples to your UIMAinstallation directory. To do that, just runtheadjustExamplePaths.sh(or for Windows .bat) script in thebinsubdirectory of your UIMA installation.
This annotator encodes MetaMap named entities in a format utilizableby UIMA components. Theannotator is based onthe MetaMap UIMA Wrapper ( -uima/)authored by Kai Schlamp. It is assumed the user has adequate knowledge of Java softwaredevelopment and the Apache UIMA Framework in particular.Experience using the UIMA framework withthe EclipseIntegrated Development Environment is useful, but notrequired. The annotator has the following pre-requisites: MetaMap Full Download The full MetaMap download and installation is required to use the MetaMap UIMA Annotator. Java Runtime Environment (JRE) 1.7 or later Also, Java 1.7 SDK or greater is required. MetaMap Java API The UIMA Annotator also uses classes from MetaMap Java API, so if you are using Linux or Mac OS/X (it's provided with Windows XP/7), you'll need to install that also. The UIMA Framework You will also need the "UIMA Java framework & SDK" which is available from the UIMA Downloads Page. An Updated release of the MetaMap UIMA Annotator for 2012 is nowavailable: It includes updated UIMA Descriptor Files which now useJava classpath-based paths instead of location-based paths to avoidany Windows file path issues.
Pre-Apache versions of the UIMA framework are available as a downloadable SDK designed to assist developers in building and testing UIMA-compliant analytic modules. This SDK includes additional complimentary components beyond what is being delivered in open source, but may not be re-distributed.
Use the SourceForge site for access to reference versions of pre-Apache versions of the source code. Use Apache UIMA to work with the source code for UIMA version 2.1 and onwards. For UIMA versions prior to 2.1, go to the download page and download and unzip the UIMA source. Detailed instructions on how to build the framework from the source, and how to import the source into Eclipse is available in the readme.html contained within the zipped sources. You may want also download the UIMA SDK from the alphaWorks site to obtain additional components.
Leo is geared towards processing machine-readable text. A base annotator class gov.va.vinci.leo.ae.LeoBaseAnnotator (which extends org.apache.uima.analysis_component.JCasAnnotator_ImplBase ) is provided to simplify and speed up development of an Analysis Engine for text processing.
When extending the base annotator, the only method required to overwrite is annotate(org.apache.uima.jcas.JCas aJCas) The CAS object that is passed by the system contains getDocumentText() method that gives access to the actual text of the document.
You will need Java 8 installed on your system. It can be obtained here or through another preferred download method such as your package manager. Please choose the version appropriate for your operating system and processor.
You will also need the Java Development Kit installed on your system. It can be obtained here or through another preferred download method such as your package manager. Please choose the version appropriate for your operating system, processor, and JRE installation.
You will need to set an environment variable called UIMA_HOME, the value of which should be the directory into which you just extracted the UIMA files. For example, on Windows, this might be C:\apache-uima-as-2.9.0
In the previous section we downloaded the Leo-Example and configured your computer for Leo, UIMA, and Maven. We also ran the sample project as is. The example pipeline and input/output files are a simple demonstration used in order to ensure that everything you would need for a Leo Pipeline is ready to go. This section will detail each of the packages and how you can configure Leo for your own projects.
The Regular Expression Annotator provides a UIMA based annotator for searching a corpus using regular Expressions. The Regular Expression Annotator can be configured via a simple configuration file, for processing a single group of patterns with the same configuration for each pattern, or via a more flexible Groovy configuration file that allows for multiple groups of patterns configured with different parameters per group of patterns. For a more detailed synopsis and download instructions, you can go the the Regular Expression site here.
For example if you want to use UIMA Dictionary Annotator 2.3.1-SNAPSHOT you can either get it from snapshot repo and paste it in solr/contrib/uima/lib and run 'ant clean dist' or paste the following in the generated pom.xml (as child of the tag) and run 'mvn clean package'.
Sometimes Analysis Engines require custom parameters to be set inside their descriptor or custom resources to be imported. The easiest way to do so is to get a copy of such a descriptor, modify parameters/resources as needed and put them inside a directory which gets included in the final jar (i.e.: solr/contrib/uima/src/main/resources/org/apache/uima )
Step 1 - Download: For this guide, we use the Interactive Concept Linking project.Please download it from the Example Projects section on our website and save it without extracting it first.It consists of two documents about pets.The first one contains some annotations as an example, the second one is meant to be your playground.It has originally been created for concept linking annotation but in every project, you can create any kind of annotations.We will use it for Named Entity Recognition.
Step 2 - Import: After logging in toINCEpTION, click on the Import project button on the top left (next to Create new project) and browse for the example project you have downloaded in Step 1. Finally, click Import.The project has now been added and you can use it to follow the explanations of the next section.
In this section, we will make our first annotations.If you have not downloaded and imported an example project yet, we recommend to return to Download and import an Example Project and do so first.In this section, no or little theory and background will be explained.In case you want to have some theory and background knowledge first, we recommend reading the section Structure of an Annotation Project.
Hide empty layers: Usually, a project does not use all layers. If a feature of a layer does never occur, all its statistics (except Number of Documents) will be zero. Tick this box and press the Calculate button again to omit them from the displayed table. If you then download the table, the generated file will not include these layers.
After some data is displayed in the table, it is possible to download the results. For this, after clicking the Calculate button there will appear a Format Dropdown and an Export button below the table. Choose your format and click the button to start a download of the results. The download will always include all possible statistics and either all features or only the non-null features.
If a recommender supports exporting its trained model, then there is a button to download the model. Currently, only the String Matching Span Recommender supports this option. A Model exportedfrom this recommender can be uploaded a gazetteer to a String Matching Span Recommender in the project settings.
Download chain. Click this button to download the chain definition. Once downloaded, it is agood idea to rename the file to something less cryptic than the default auto-generated ID, e.g.we might rename the file to WebLicht_Named_Entities_English.xml.
Here you can export the project for different purposes. Once an export process has been started, its progress can be see in the right sidebar. If an export takes very long, you can keep it running and check back regularly to see its state. You can even log out and log in later. Once the export is complete, you have 30 minutes to download it before it gets cleaned up automatically. Any user with project manager permissions can visit this page and view the exports. When a user cancels an export or downloads an export, it is removed from the list. If there are any messages, warnings or errors, you should inspect them before cancelling or downloading the export. While an export is running, only the latest messages is displayed and it can happen that messages are skipped. Once the export is complete (either successfully or failed), the full list of messages is accessible. 2b1af7f3a8