reach your full potential
with our know-how
Let us structure the knowledge of your data
Our portfolio of innovative technologies
Take advantage of our expertise. We can tailor our “Semantic Toolbox” to meet your individual requirements.
Ontology Design
- 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
Linked Data Integration
- Convert your data and schemes to Linked Data
- Integrate Linked Data schemes
- Create and interlink knowledge-graphs
Linked Data Publication
- Publish your Data according to the 5-star Linked Data principles
- Triple-store and SPARQL-endpoint
- Dereferencing via content-negotiation
- RDF-Dumps
Data Analysis
- (Big-)data Analytics
- Data Mining
- Reasoning
- Statistics
Semantic Search
- Taxonomy-based search & class queries
- Intelligent auto-suggestion
- Semantic-based ranking
- Recommender systems
Visualization
- Visualize relations in your data
- Exploratory navigation
- Interactive animation
Image Analysis
- Image classification
- Concept detection
- Automated image tagging
- Object detection
- Text recognition
Video Analysis
- 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.
Exploratory Search
Explore the contents, discover unexpected connections and retrieve new results.
Content Analysis
Annotate your content and let our Semantic Technologies find meaningful relations.
Linked-Data Integration for archives
Linked Stage Graph
Linked Stage Graph is a Knowledge Graph developed during the Coding da Vinci Süd 2019 hackathon. The graph is being created using a dataset by the National Archive of Baden-Wuerttemberg. It contains black and white photographs and metadata about the Stuttgart State Theatre from the 1890s to the 1940s.
The nearly 7.000 photographs give vivid insights into on-stage events like theater plays, operas and ballet performances as well as off-stage moments and theater buildings. However, the images and the data set as they are currently organized are hard to use and explore for anyone who is unfamiliar with an achive’s logic to structure information.
This project proposes means to explore and understand the data by humans and machines using linked data and interesting visualizations.
Linked-Data Integration for the media value chain
DWERFT: Linked Film & TV Services
dwerft is a national funded research initiative aiming to cope with data integration problems in the film and TV production chain. Metadata plays an essential role in film and TV production as well as in the entire media value chain ranging from the idea of a script, followed by production planning, production and post-production, up to distribution and archival. Unfortunately, lots of information gets lost in the fragmented processes, especially when multiple companies are involved. Often, metadata needs to be reconstructed manually at the end, which is an expensive and sometimes error prone task. One of the many applications addressed in the course of the dwerft project are intelligent recommender services for movie recommendations as well as for advertisements and product recommendations based on Linked Production Data.
AV-Workflows with Semantic Multimedia Analysis and Search
TIB|AV-Portal
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.
Image Classification
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.
