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WordNet® is a large lexical database of English. Nouns, verbs, adjectives and adverbs are grouped into sets of cognitive synonyms (synsets), each expressing a distinct concept. Synsets are interlinked by means of conceptual-semantic and lexical relations. Wordnet® is a trademark of Princeton University. See Princeton University 'About WordNet'; WordNet®. Princeton University. 2010.
Code font free download. This example application is an adaptation of Wordnet® for Apache HBase™, Cassandra and other data stores using CloudGraph®, a suite of Java™ standards-based databases.For more information on CloudGraph®, see http://cloudgraph.org
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See Princeton University 'About WordNet'; WordNet®. Princeton University. This example application is an adaptation of Wordnet® for Apache HBase™, Cassandra and other data stores using CloudGraph®, a suite of Java™ standards-based data-graph mapping and ad hoc query services for big-table sparse, columnar and other 'cloud' databases. Download SecureSVN for free. Web-based SVN Repository Management & Security System for managing users and groups access to SVN using various authentication methods over supported protocols. This Admin tool will help SVN admins & organizations to secure their code & manage it better.
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This adaptation of Wordnet® for HBase™, Cassandra and other data stores was accomplished in 5 basic steps using CloudGraph® and related tools.
1.) Model Creation. First the Wordnet® relational MySql® database schema was automatically reverse engineered and converted to UML for CloudGraph® using Plasma and PlasmaSDO® Relational Database (RDB) provisioning tools. Models can be easily hand written as well. The Wordnet® data model is not particularly complex, however the data itself is highly recursive and connected, for example one word may be related indirectly to many other words through any number of semantic and lexical links. The data cannot therefore be naturally segmented into graphs, but must be link able at every level such that graphs may be assembled dynamically. In HBase™ and other columnar button calls a second service which uses a large DSL query spanning all semantic and lexical relations for the given word, as well as several other entities such as example sentences. The DSL query spans more than 7 nodes from the source word to its related target words looking (very roughly) like Words->Senses->Synsets->Semlinks/Lexlinks->Synsets->Senses->Words. Larger word relation graphs typically contain over 100 nodes and are assembled in the middle tier in an average of 200 milliseconds from a 3 node CentOs-Linux HBase cluster.
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WordNet® is a registered trademark of Princeton University. HBase™ is a trademark of Apache Software Foundation. MySql® is a registered trademark of Oracle Corporation. CloudGraph® is a registerd trademark of TerraMeta Software Inc.
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