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Luzzu is a Quality Assessment Framework for Linked Open Datasets. It is a generic framework based on the Dataset Quality Ontology (daQ), allowing users to define their own quality metrics. Luzzu is an integrated platform that: - assesses Linked Data quality using a library of generic and user-provided domain specific quality metrics in a scalable manner; - provides queryable quality metadata on the assessed datasets; - assembles detailed quality reports on assessed datasets. Furthermore, the infrastructure: - scales for the assessment of big datasets; - can be easily extended by the users by creating their custom and domain-specific pluggable metrics, either by employing a novel declarative quality metric specification language or conventional imperative plugins; - employs a comprehensive ontology framework for representing and exchanging all quality related information in the assessment workflow; - implements quality-driven dataset ranking algorithms facilitating use-case driven discovery and retrieval.

Luzzu is a Quality Assessment Framework for Linked Open Datasets. It is a generic framework based on the Dataset Quality Ontology (daQ), allowing users to define their own quality metrics. Luzzu is an integrated platform that: - assesses Linked Data quality using a library of generic and user-provided domain specific quality metrics in a scalable manner; - provides queryable quality metadata on the assessed datasets; - assembles detailed quality reports on assessed datasets. Furthermore, the infrastructure: - scales for the assessment of big datasets; - can be easily extended by the users by creating their custom and domain-specific pluggable metrics, either by employing a novel declarative quality metric specification language or conventional imperative plugins; - employs a comprehensive ontology framework for representing and exchanging all quality related information in the assessment workflow; - implements quality-driven dataset ranking algorithms facilitating use-case driven discovery and retrieval.

The boilerpipe library provides algorithms to detect and remove the surplus "clutter" (boilerplate, templates) around the main textual content of a web page. The library already provides specific strategies for common tasks (for example: news article extraction) and may also be easily extended for individual problem settings. Extracting content is very fast (milliseconds), just needs the input document (no global or site-level information required) and is usually quite accurate. Boilerpipe is a Java library written by Christian Kohlschütter. It is released under the Apache License 2.0. The algorithms used by the library are based on (and extending) some concepts of the paper "Boilerplate Detection using Shallow Text Features" by Christian Kohlschütter et al., presented at WSDM 2010 -- The Third ACM International Conference on Web Search and Data Mining New York City, NY USA.

The IntelligentGraph SAIL offers an extended capability for embedded calculation support within any RDF graph. When enabled as an RDF4J SAIL, it offers calculation functionality as part of the RDF4J engine, on top of any RDF4J repository, using a variety of script engines including JavaScript, Jython, and Groovy. It preserves the SPARQL capability of RDF4J, but with additional capabilities for calculation debugging and tracing. IntelligentGraph includes the PathQL query language. Just as a spreadsheet cell calculation needs to access other cells, an IntelligentGraph calculation needs to access other nodes within the graph. Although full access to the underlying graph is available to any of the scripts, PathQL provides a succinct, and efficient method to access directly or indirectly related nodes. PathQL can either return just the contents of the referenced nodes, or the contents and the path to the referenced nodes. PathQL can also be used standalone to query the IntelligentGraph-enabled RDF database. This supplements, rather than replaces, SPARQL and GraphQL, as it provides graph-path querying rather than graph-pattern querying capabilities to any IntelligentGraph-enabled RDF database. The principles of IntelligentGraph are described here: https://inova8.com/bg_inova8.com/intelligent-graph-knowledge-graph-embedded-analysis/ The full PathQL syntax is described here: https://inova8.com/bg_inova8.com/pathpatternql-intelligently-finding-knowledge-as-a-path-through-a-maze-of-facts/ Using Jupyter as an IDE to IntelligentGraph and RDF4J, shown here: https://inova8.com/bg_inova8.com/intelligentgraph-getting-started/ IntelligentGraph source is here in GitHub: https://github.com/peterjohnlawrence/com.inova8.intelligentgraph IntelligentGraph Docker containers are available here: https://hub.docker.com/repository/docker/inova8/intelligentgraph

Rouplex-Niossl is a java SPI (service provider interface) for secure (SSL/TLS), selectable, socket channels. Some of the classes in the java.nio.channels package have been extended by secure counterparts that can be used side by side, or replace existing instances of the plain implementations. This package contains just the entry point calls for instantiating such instances, as well as a non-functional, default implementation. For a concrete implementation of these classes you can take a look at Rouplex-Niossl-Spi, which would be included as a separate dependency to your applications. More specifically this library defines SSLSocketChannel class to inherit from SocketChannel, SSLServerSocketChannel to inherit from ServerSocketChannel and SSLSelector to inherit from SSLSelector. One or more instances of SSLSocketChannel can be registered with an (or more) instance of SSLSelector to be selected upon, with the same exact semantics a SocketChannel would expect from registering with a Selector. Further, a mixture of SocketChannels and SSLSocketChannels can be registered simultaneously with an SSLSelector. The secure counterparts abide to the same API and semantics defined for plain channels at https://docs.oracle.com/javase/8/docs/api/java/nio/channels/package-summary.html. This way, the existing products can be easily updated to provide secure communication and new products can achieve security of data in transit by using the already proven and excellent patterns for communication such as nio.

Rouplex-Niossl is a java SPI (service provider interface) for secure (SSL/TLS), selectable, socket channels. Some of the classes in the java.nio.channels package have been extended by secure counterparts that can be used side by side, or replace existing instances of the plain implementations. This package contains just the entry point calls for instantiating such instances, as well as a non-functional, default implementation. For a concrete implementation of these classes you can take a look at Rouplex-Niossl-Spi, which would be included as a separate dependency to your applications. More specifically this library defines SSLSocketChannel class to inherit from SocketChannel, SSLServerSocketChannel to inherit from ServerSocketChannel and SSLSelector to inherit from SSLSelector. One or more instances of SSLSocketChannel can be registered with an (or more) instance of SSLSelector to be selected upon, with the same exact semantics a SocketChannel would expect from registering with a Selector. Further, a mixture of SocketChannels and SSLSocketChannels can be registered simultaneously with an SSLSelector. The secure counterparts abide to the same API and semantics defined for plain channels at https://docs.oracle.com/javase/8/docs/api/java/nio/channels/package-summary.html. This way, the existing products can be easily updated to provide secure communication and new products can achieve security of data in transit by using the already proven and excellent patterns for communication such as nio.