Introduction to: OWL Profiles « semanticweb.com. OWL, the Web Ontology Language has been standardized by W3C as a powerful language to represent knowledge (i.e. ontologies) on the Web.
OWL has two functionalities. The first functionality is to express knowledge in an unambiguous way. This is accomplished by representing knowledge as set of concepts within a particular domain and the relationship between these concepts. If we only take into account this functionality, then the goal is very similar to that of UML or Entity-Relationship diagrams. The second functionality is to be able to draw conclusions from the knowledge that has been expressed. OWL evolved from several proposals and became a standard in 2004. What can be stated in OWL? Just as quick overview, the following could be stated in OWL: Teachers and Professors are the same.
There is much more that can be expressed in OWL. OWL Profiles The first version of OWL created a profile called OWL Lite which tried to restrict the features of OWL in order to make reasoning easier.
Machine Learning & MLaaS. NLP and Ontologies in Biomedicine. Big Data - Arista. Arista's key benefits for Big Data acquisition and analysis include: Removal of inter-connection bottlenecks by implementing non-blocking designs and deep per-port bufferingOpEx reduction through LANZ troubleshooting, zero-touch provisioning and dynamic topology configurationLeveraging the best-in-class scale and robustness of the Arista EOS Arista Big Data Perspectives with CTO/SVP of Software Engineering, Ken Duda The drive to develop and deliver innovative products and services in the future will be fueled increasingly by companies' ability to acquire and analyze vast amounts of structured and un-structured data.
Large and small enterprises are racing to acquire this capability by leveraging the vast computing power of the public cloud and by re-engineering their data centers into private clouds. Big Data provides a tremendous help to organizations making critical decisions that drive their businesses. SpringSource.org. Amazon Web Services, Cloud Computing: Compute, Storage, Database. AWS Toolkit for Eclipse. OSMonto. OSMonto viewed with Protégé OSMonto is an ontology of OpenStreetMap tags, created with the purpose to ease maintenance and overview of existing tags and to allow enriching the semantics of tags by relating them to other ontologies.
It has been developed at University Bremen and DFKI Bremen by Mihai Codescu, Gregor Horsinka, Oliver Kutz, Till Mossakowski and Rafaela Rau. OSMonto was presented at SotM-EU 2011 [1] and developed as a research paper [2]. Structure The purpose of the ontology of tags is to stay as close as possible to the structure of the OSM files in order to facilitate database querying.
In OSMonto, tags are decomposed into a hierarchy according to the keys: the key becomes a superconcept of its values. The source for the tags implemented is mainly Taginfo. The OSMonto ontology can be found as an .owl file [3] and can be viewed with tools like e.g. Implementation Related projects. System Dashboard - OpenRDF JIRA. OpenRDF.org: Home. BigOWLIM Installation - OWLIM35 - Ontotext Wiki. This section is for users and system administrators that are unfamiliar with the BigOWLIM semantic repository software.
The information contained in the following pages should be enough to get started with BigOWLIM, i.e. to install and configure the software so that repository instances can be created and used. BigOWLIM is packaged as a Storage and Inference Layer (SAIL) for the Sesame RDF framework. BigOWLIM can be used in two different ways: One approach is to integrate it in an application using it as a library. An example of doing this is given in the 'getting-started' folder of the BigOWLIM distribution zip file. Users intending to use BigOWLIM in this way do not need to install the Sesame Web applications (Server and Workbench) and must only set a few environment variables as detailed in the BigOWLIM user guide in the section covering the getting-started example application.
This guide covers the installation of BigOWLIM. A suitable application server must be installed. MongoDB. HBase - Apache HBase Home. Lucene - Apache Solr. Welcome to Hive! The Apache Cassandra Project. Welcome to Apache™ Hadoop®!