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SciBite / Knowledge Hub / Resources / Creating knowledge graphs from literature [Webinar]

Creating knowledge graphs from literature [Webinar]
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Organizations produce data and ingest externally generated data at a rapid pace. Holistic views of multiple data sources allow for inferences to be made that would otherwise remain unseen. In order to take holistic views of this data, it is critical that they are aligned to standards and that intuitive data structures are utilized to enable complex querying of the integrated dataset.

During this short webinar our Lead Technical Consultant Joe Mullen will explain how SciBite’s semantic enrichment technology is being used to facilitate the production of Knowledge Graphs.

We will explain how the SciBite stack can be used for the extraction of semantic triples from literature as well as the harmonisation and integration of these with data from both external and internal structured data sources.
Watch the full webinar
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Joe Mullen
Product Director, Software Solutions

With a PhD from Newcastle University in computational approaches to drug repositioning, Joe brings a strong scientific foundation rooted in semantic data integration, knowledge graphs, and data mining. Since joining SciBite in 2017, he has had the privilege of leading the Data Science and Professional Services teams, where  he combined cutting-edge technology with our core data enrichment products to create tailored solutions for a diverse range of customers.

Today, as Product Director, Joe is passionate about shaping the vision of our software solutions, aligning them with strategic goals, and most importantly, supporting our clients in unlocking the full potential of their scientific data.

His focus is on driving innovation that empowers scientists and organizations to make impactful discoveries faster and more efficiently.

Other articles by Joe

  1. What is agentic AI and is there a role for ontologies? read more
  2. Are ontologies still relevant in the age of LLMs? read more
  3. What is Retrieval Augmented Generation, and why is the data you feed it so important? read more
  4. Large language models (LLMs) and search; it’s a FAIR game, read more
  5. Revolutionizing Life Sciences: The incredible impact of AI in Life Science [Part 1], read more
  6. Why use your ontology management platform as a central ontology server? read more
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Relevant resources, events and news
https://scibite.com/knowledge-hub/news/common-challenges-with-knowledge-graphs/ thumbnail image News Addressing common challenges with knowledge graphs

We describe the pivotal role of semantic enrichment in the creation of effective KGs and how to address challenges with Knowledge Graphs

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https://scibite.com/knowledge-hub/news/what-is-a-semantic-knowledge-graph/ thumbnail image News What is a semantic knowledge graph?

Our blog describes what is a semantic knowledge graph & how semantic enrichment technology is used to facilitate such a powerful data model

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https://scibite.com/knowledge-hub/news/gene-disease-relationship-extraction/ thumbnail image News How SciBite technology can facilitate gene-disease relationship extraction

We show how SciBite technology can facilitate Gene-Disease relationship extraction an application of SciBite Search with knowledge graphs

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