Knowledge Hub
Fundamentals
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Fundamentals
What is Text Analysis?
Text Analysis is about parsing texts in order to extract machine-readable facts from them. The purpose of Text Analysis is to create sets of structured data out of heaps of unstructured, heterogeneous documents.
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Fundamentals
What is Metadata?
Metadata represents data about data and enriches the data with information that makes it easier to find, use and manage. Semantic metadata helps computers to interpret data by adding references to concepts in a knowledge graph.
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Fundamentals
How-to: GraphDB Fundamentals in 10 steps
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 ten videos that will accompany you in your first steps of using triplestore graph databases.
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Fundamentals
What is SPARQL?
SPARQL enables users to query information from databases or any data source that can be mapped to RDF. The SPARQL standard is designed and endorsed by the W3C and helps users and developers focus on what they would like to know instead of how a database is organized.
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Fundamentals
Relational vs Property Graphs vs RDF Databases at a Glance
How to choose the best data management solution? Here is a quick comparison between some of the major players in the game: Relational databases, Property graphs and RDF databases.
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Fundamentals
What is an RDF Triplestore?
The RDF triplestore is a type of graph database that stores semantic facts in RDF. It stores data as a network of objects with materialized links between them. Being very flexible and cost-effective, it is the preferred choice for managing highly interconnected data.
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Fundamentals
What is Semantic Annotation?
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, which are for the reader’s reference, semantic annotations are used by machines.
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Fundamentals
What Is Semantic Search?
Semantic search bridges the language gap between humans and machines, and takes us further on our quest for meaningful information and knowledge discovery.
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Fundamentals
What is Semantic Data Integration?
Semantic data integration is the process of combining data from disparate sources and consolidating it into meaningful and valuable information through the use of Semantic Technology. With Ontotext’s semantic integration tools, users can quickly design data processing jobs and integrate massive amounts of data.
