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@Sumatera Model converter from ORM class to regular pojo class, the ORM term is a modelling class that doesn't like regular pojo, such like @Entity from JPA/Hibernate and so on. It can be used for mapping regular object, post data in request body where you cannot put ORM class directly in a parameter, or you cannot convert to json directly, or any other problem regarding it. You don't need anymore to create duplicate Dto / Pojo class which represent ORM class, just write your ORM class and annotate it with @Sumatera, then the regular pojo class would be generated for you.

ModelCC is a model-based parser generator (a.k.a. compiler compiler) that decouples language specification from language processing, avoiding some of the problems caused by grammar-driven parser generators. ModelCC receives a conceptual model as input, along with constraints that annotate it. It is then able to create a parser for the desired textual language and the generated parser fully automates the instantiation of the language conceptual model. ModelCC also includes a built-in reference resolution mechanism that results in abstract syntax graphs, rather than mere abstract syntax trees.

This small subproject regroup most of the stuff needed to build pmd. As some java code has been produced to reduce the use of scripts when generating the website, the build also requires a small jar, which is generated by this pom. IMPORTANT NOTE: the pmd-build.jar does not need to be recompile if you modify any ant or xslt files. You can alter the files that are in the xslt directory and directly uses the appropriate ant or java task. pmd-build should be recompiled and package (and its version incrememented) only if you modify the java code.

We propose two efficient algorithms for exploring topic diversity in large document corpora such as user generated content on the social web, bibliographic data, or other web repositories. Analyzing diversity is useful for obtaining insights into knowledge evolution, trends, periodicities, and topic heterogeneity of such collections. Calculating diversity statistics requires averaging over the similarity of all object pairs, which, for large corpora, is prohibitive from a computational point of view. Our proposed algorithms overcome the quadratic complexity of the average pair-wise similarity computation, and allow for constant time (depending on dataset properties) or linear time approximation with probabilistic guarantees.

Package for loading a directory containing MRI data in NIfTI format. The directory to be loaded must contain as many subdirectories as there are classes of MRI data. Each subdirectory name will be used as the class label for the corresponding .nii files in that subdirectory. (This is the same strategy as the one used by WEKA's TextDirectoryLoader.) Currently, the package only reads volume information for the first time slot from each .nii file. The readDoubleVol(short ttt) method from the Nifti1Dataset class (http://niftilib.sourceforge.net/java_api_html/Nifti1Dataset.html) is used to read the data for each volume into a sparse WEKA instance (with ttt=0). For an LxMxN volume (the dimensions must be the same for each .nii file in the directory!), the order of values in the generated instance is [(z_1, y_1, x_1), ..., (z_1, y_1, x_L), (z_1, y_2, x_1), ..., (z_1, y_M, x_L), (z_2, y_1, x_1), ..., (z_N, y_M, x_L)]. If the volume is an image, then only x and y coordinates are used.

<p>Generates a unique Exception ID, that can be used in Java source code.</p> <p>In order to use this plugin type <code>Ctrl+Space</code> inside empty String literal. This will generate new unique identifier as a <i>Code Completion</i>. That generated EID can be used, for example, to identify your exceptions.</p> <p> Example usage (This is technical runtime exception, a posible bug. This plugin can be used to quickly fill unique bug id.):<br /> <code>try {<br /> &nbsp;&nbsp;&nbsp;&nbsp;shuldWorkIfNoBugsExists();<br /> } catch (IOException ex) {<br /> &nbsp;&nbsp;&nbsp;&nbsp;throw new EidRuntimeException("20140218:161429", "Something wrong with HDD, permissions?", ex);<br /> }</code> </p>

The HTTP server module (ks-server-http) implements the Web API of the KnowledgeStore, which includes the two CRUD and SPARQL endpoints. The CRUD Endpoint supports the retrieval and manipulation of semi-structured data about resource, mention, entity and axiom records (encoded in RDF, possibly using JSONLD), and the upload / download of resource representation. The SPARQL Endpoint supports SPARQL SELECT, CONSTRUCT, DESCRIBE and ASK queries according to the W3C SPARQL protocol. The two endpoints are implemented on top of a component implementing the KnowledgeStore Java API (the Store interface), which can be either the the KnowledgeStore frontend (ks-frontend) or the Java Client. The implementation of the module is based on the Jetty Web sever (run in embedded mode) and the Jersey JAX-RS implementation. Reference documentation of the Web API is automatically generated using the Enunciate tool.

This small subproject regroup most of the stuff needed to build pmd. As some java code has been produced to reduce the use of scripts when generating the website, the build also requires a small jar, which is generated by this pom. IMPORTANT NOTE: the pmd-build.jar does not need to be recompile if you modify any ant or xslt files. You can alter the files that are in the xslt directory and directly uses the appropriate ant or java task. pmd-build should be recompiled and package (and its version incrememented) only if you modify the java code.

The biblio transformation engine is a java framework developed by the Hellenic National Documentation Centre (EKT, www.ekt.gr) and consists of programmatic APIs for filtering and modifying records that are retrieved from various types of data sources (eg. databases, files, legacy data sources) as well as for outputing them in appropriate standards formats (eg. database files, txt, xml, Excel). The framework includes independent abstract modules that are executed seperately, offering in many cases alternative choices to the user depending of the input data set, the transformation workflow that needs to be executed and the output format that needs to be generated.

'Benerator' is a framework for creating realistic and valid high-volume test data, used for testing (unit/integration/load) and showcase setup. Metadata constraints are imported from systems and/or configuration files. Data can imported from and exported to files and systems, anonymized or generated from scratch. Domain packages provide reusable generators for creating domain-specific data as names and addresses internationalizable in language and region. It is strongly customizable with plugins and configuration options.