Semantic Technology Fundamentals

Fundamentals

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SPARQL, pronounced ‘sparkle’, is the standard query language and protocol for Linked Open Data on the web or in a semantic graph database (also called RDF triplestore). SPARQL, short for “SPARQL Protocol and RDF Query Language”, enables users to…

October 12, 2016 Learn more
indexing_storing_graph_database

Semantic annotation is the process of attaching additional information to various concepts (e.g. people, things, places, organizations etc) in a given text or any other content. Unlike classic text annotations for reader’s reference, semantic annotations are used…

August 30, 2016 Learn more
Semantic_Data_Integration

Semantic Data Integration allows users to quickly design data processing jobs involving GraphDB™ and GATE (General Architecture for Text Engineering).  Users interested in "RDF-izing" their data can export the jobs as executable processes or REST services.  Part…

August 29, 2016 Learn more
Sir Tim Berners-Lee

Semantic Technology, as the phrase itself suggests, uses formal semantics to give meaning to all the disparate and raw data that surrounds us. The Semantic Web Technology – or technology for the Web of Data or the…

July 21, 2016 Learn more
What is NoSQL graph database

The NoSQL graph database is a technology for data management designed to handle very large sets of structured, semi-structured or unstructured data. NoSQL (‘not only SQL’) graph databases serve organizations to access, integrate and analyze both unstructured…

July 11, 2016 Learn more
Linked Data Principles

Linked Data is one of the core concepts and pillars of the Semantic Web, also known as the Web of Data. The Semantic Web is all about making links between datasets understandable not only to humans but…

June 24, 2016 Learn more
triple (sjubject -> predicate -> object)

RDF triplestore is a type of graph database that stores semantic facts. RDF, which stands for Resource Description Framework, is a model for data publishing and interchange on the Web standartized by W3C. Being a graph database,…

June 21, 2016 Learn more

Semantic repositories are engines similar to database management systems (DBMS). They allow for storage, querying, and management of structured data. The major differences with the DBMS are can be summarized as follows: They use ontologies as semantic…

June 16, 2016 Learn more

Add Value to GraphDB™ with Enhanced Search Connectors Did you know that GraphDB™ Enterprise Edition comes with Connectors for Lucene, SOLR and ElasticSearch?  These Connectors provide extremely fast keyword and faceted (aggregation) searches that are typically implemented…

November 24, 2015 Learn more

Navigate your Data with a Map Did you know that GraphDB™ provides support for Ontologies at various levels of sophistication? Importance of Ontologies Ontologies are important because semantic repositories use ontologies as semantic schemata. This makes automated…

November 24, 2015 Learn more

Disambiguate at Warp Speed Did you know that GraphDB’s inferencing engine supports owl:sameAs functionality allowing for the identification of two or more URIs that represent the same entity even when they reside in different documents? Setup OWL…

November 24, 2015 Learn more

Score your Results with Weighted Rankings Did you know that GraphDB provides advanced RDF Ranking capabilities? RDF Rank is an algorithm which identifies the more important or more popular entities in a repository by examining their interconnectedness.…

November 24, 2015 Learn more

Execute your Queries at Maximum Efficiency Did you know that GraphDB™ provides advanced intelligent Query Optimization? After a SPARQL query is executed, GraphDB™ uses a statistical approach to reorder and reprioritize sub-selects within the query. This ensures…

November 24, 2015 Learn more

Full Support for the Specification You may not know that Ontotext GraphDB™ offers full support of the SPARQL 1.1 specification including key areas such as: SPARQL 1.1 Protocol for RDF (working draft 05 January 2012) SPARQL 1.1…

November 24, 2015 Learn more

GraphDB™ Fundamentals builds the basis for working with graph databases that utilize the W3C standards and particularly GraphDB™. It is a training class delivered in a series of nine videos that will accompany you in your first steps…

October 28, 2015 Learn more

Getting the Most out of  GraphDB™ The Knowledge Path Series is designed to help you get the most of out your evaluation period as well acquaint you with the advanced features of  GraphDB™.  When you register for a…

December 05, 2014 Learn more
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