SynthMedic: Utilizing large language models for synthetic discharge summary generation, correction and validation

Georgi Grazhdanski, Vasil Vasilev, Sylvia Vassileva, Dimitar Taskov, Izabel Antova, Ivan Koychev, Svetla Boytcheva, SynthMedic: Utilizing large language models for synthetic discharge summary generation, correction and validation, Journal of Biomedical Informatics, Volume 170, October 2025, 104906

Semantic Acceleration and Graph Scalability: TopQuadrant and Ontotext

Join this webinar to learn about the key benefits of the Ontotext and TopQuadrant partnership - particularly in scaling, semantics, and policy enforcement, while increasing the value of enterprise data stored in disparate systems.

This webinar is recorded and available on demand.

Join Ontotext’s next webinar to explore its newest partnership with TopQuadrant, an innovative enterprise data governance and metadata management solutions provider. This partnership provides significant advantages for their shared customer base, particularly in scaling, semantics, and policy enforcement, while increasing the value of enterprise data stored in disparate systems. With a streamlined user interface, data governance through GraphDB is available and will provide an improved experience.

In this webinar, Nimit Mehta, CEO of TopQuadrant, and Atanas Kiryakov, CEO & Founder of Ontotext, will share key benefits of the Ontotext and TopQuadrant partnership:

Scalability and Performance for Large Data Sets: Semantic data products such as taxonomies, tag lists, metadata stores, and code lists, can now scale to handle master data management and enterprise data quality efforts.
Policy Enforcement and Automation: TopQuadrant’s expertise in data governance and metadata management will help clients enforce policies automatically across organizations’ full data landscape, mitigating risk of regulatory fines such as for GDPR, and enabling organizations to use their data with more agility.
Pharma R&D Semantic Solution: This solution will provide data models to best capture data and improve its quality, enhancing collaboration and efficiency, automating regulatory reporting and ultimately enabling new insights into drug discovery.
Semantic Data Catalog: This innovative semantic approach for active metadata management harmonizes data across an entire organization, uniting various metadata repositories that reside across an organization. Using different kinds of AI, including LLMs, the semantic data catalog actively populates metadata and ultimately makes data more interoperable and reusable.

You will also experience hands-on demonstrations from both TopQuadrant and Ontotext.

When:
Tuesday, January 30th
11 am EST | 4 pm GMT | 5 pm CEST

This webinar is for:

Chief Data and Analytics Officers
Data Scientists & Engineers
Data architects
Data enthusiasts
RDF & Linked Data enthusiasts

Expected duration:

1 hour

Other Information:

This is a live webinar
Live Question Answering: Yes
Resource After Webinar: Recording and presentation

Meet the speakers

Atanas Kiryakov is the founder and CEO of Ontotext and member of the board of the Linked Data Benchmarking Council – standardization body, who’s members include the major graph database vendors. Kiryakov is a top expert in semantic graph databases, reasoning, knowledge graphs, text mining, semantic tagging, linking and search. Author of signature academic publications with more than 3000 citations. Atanas is partner and board member in Sirma Group Holding – one of the biggest Bulgarian IT businesses, listed at the Sofia Stock Exchange.

Nimit Mehta is the CEO of TopQuadrant, the applied knowledge graph collaboration platform. Its flagship product, EDG, brings life to metadata to solve the most important safety, security, and discovery problems for the world's largest organizations. It seamlessly connects teams, technology, and processes with a unique belief in shared knowledge to give a voice to the most valuable enterprise assets - the unsung, often overlooked, heroes who lead through data. Prior to TopQuadrant, Nimit guided ascendant technologies through the challenges of rapid growth as an operating executive, entrepreneur, and investor.

Want more like this? The Ontotext Recommendations engine combines content and its semantic fingerprint to retrieve knowledge graph-driven recommendations. It is integrated with the Ontotext Metadata Studio tagging to power meaningful recommendations based on both semantic relevancy and recency.

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