reach your full potential
with our know-how
Let us structure the knowledge of your data
- Ontology design for your domain, applications and processes
- Ontology engineering based on state-of-the-art paradigms
- Transfer your data model to a RDF/OWL ontology
- Convert your data and schemes to Linked Data
- Integrate Linked Data schemes
- Create and interlink knowledge-graphs
- Publish your Data according to the 5-star Linked Data principles
- Triple-store and SPARQL-endpoint
- Dereferencing via content-negotiation
- (Big-)data Analytics
- Data Mining
- Taxonomy-based search & class queries
- Intelligent auto-suggestion
- Semantic-based ranking
- Recommender systems
- Visualize relations in your data
- Exploratory navigation
- Interactive animation
- Image classification
- Concept detection
- Automated image tagging
- Object detection
- Text recognition
- Scene classification
- Text recognition
- Scene-cut detection
- Audio analysis
The Semantic Toolbox
yovisto technologies in practice
From semantic WordPress plugins to fully developed video platforms – the possibilities are unlimited.
Semantic Text Annotation, Recommendations, Visualization
Semantic annotation WordPress Plugin
refer is an online-recommendation system based on Linked Open Data and Semantic Web Technologies. It aims to improve the user’s and author’s experience while curating and navigating in WordPress blogs. It deploys our semantic text annotation system including automated general entity linking as well as intelligent recommendations and relation visualizations.
Explore the contents, discover unexpected connections and retrieve new results.
Annotate your content and let our Semantic Technologies find meaningful relations.
Visual Concept Detection
Our solutions for detecting visual concepts in videos and images allow you to search for assets in your media archive based on depicted scenes or objects. We adapt our algorithms to your data offering you the best retrieval experience possible! Our technologies are based on latest research findings in the field of machine vision and deep learning.
AV-Workflows with Semantic Multimedia Analysis and Search
The TIB|AV-Portal is a web-based platform for quality-tested scientific videos. A key feature of the portal is the use of different automated video analyses. The added value: these video analyses enable pinpoint searches within the video content.
The Competence Centre for Non-Textual Materials at the German National Library of Science and Technology (TIB) started developing the portal in cooperation with the Hasso Plattner Institute (HPI) for Software Systems Engineering, in July 2011. The TIB|AV-Portal went online in spring 2014. Since then, yovisto is hosting and further developing the TIB|AV-Portal.