The Ontotext Platform vision, technology, and business are about making sense of text and data. Its ambitions are to let big knowledge graphs improve the accuracy of text analytics, to use text analytics to interlink and enrich knowledge graphs, and to allow knowledge graphs to enable better search, exploration, classification, and recommendation across diverse information spaces.
The Ontotext Platform is cloud-native, decomposing services into cohesive chunks aligned to problem spaces. A platform that is flexible and capable of fitting into many different application scenarios.
Components within the Platform are organized into layers, each layer performing a specific role within the Platform (e.g., applications (UI, tools), services, or data storage). Some of the main components are:
For more information for Ontotext Platform, please visit https://platform.ontotext.com/.
The Semantic Object Service (SOaaS) is a declaratively configurable service for querying and updating knowledge graphs. Users can write powerful GraphQL queries and mutation that uncover deep relationships within the data while not having to be overly concerned about the underlying database query language. Data can be modified and validated against configured data shapes with simplicity and ease.
For more information for Semantic Object Service, please visit https://platform.ontotext.com/semantic-objects/semantic-objects.html
Semantic Objects are declaratively configured using very simple semantic object abstractions. A simple YAML-based meta-language named Semantic Objects Modeling Language (SOML) maps an RDF graph to automatically generated GraphQL schemas and SHACL schemas. It aims to reduce the need for understanding different specification languages and semantics.
For more information for Semantic Objects Modeling Language, please visit https://platform.ontotext.com/soml/intro.html
To start the Semantic Object Service and the Platform in less than 5 minutes follow this quick start guide https://platform.ontotext.com/semantic-objects/quick-start.html
Content type
Image
Digest
sha256:fc0c90fd6…
Size
204.1 MB
Last updated
about 2 months ago
docker pull ontotext/platform-soaas-service