Remove IT Remove Knowledge Discovery Remove Modeling
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Advancing Automatic Knowledge Extraction with PubMiner AI

Ontotext

This is where PubMiner AI comes to help such interdisciplinary teams of biomedical researchers and data scientists in their journey to knowledge extraction. Finally, it enables building a subgraph representing the extracted knowledge, normalized to reference data sets. What is PubMiner AI?

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Are You Content with Your Organization’s Content Strategy?

Rocket-Powered Data Science

Techniques that both enable (contribute to) and benefit from smart content are content discovery, machine learning, knowledge graphs, semantic linked data, semantic data integration, knowledge discovery, and knowledge management. Decide and act on the delivered insights and knowledge. Can you find them all?

Strategy 267
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Crafting a Knowledge Graph: The Semantic Data Modeling Way

Ontotext

Although there is still no single, universally accepted definition, there have been various attempts at it – such as in Towards a Definition of Knowledge Graphs. Yet, the concept of knowledge graphs still lives without an agreed-upon description or shared understanding. Create your semantic data model.

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KDD 2020 Opens Call for Papers

Data Science 101

This weeks guest post comes from KDD (Knowledge Discovery and Data Mining). KDD 2020 welcomes submissions on all aspects of knowledge discovery and data mining, from theoretical research on emerging topics to papers describing the design and implementation of systems for practical tasks. 1989 to be exact.

KDD 81
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Unlocking the Power of Better Data Science Workflows

Smart Data Collective

Phase 4: Knowledge Discovery. Finally, models are developed to explain the data. My aim with any notebook is to enable someone to pick it up without any prior knowledge of the project and fully understand the analysis, decisions made and what the final output means,” Osborne explains. “My Adding it All Up.

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Ontotext Marketing Gets a Boost from Knowledge Graph Powered LLMs

Ontotext

Eventually, this led to the transformation of the project into forming an expansive knowledge graph containing all the marketing knowledge we’ve generated, ultimately benefiting the whole organization. OTKG models information about Ontotext, combined with content produced by different teams inside the organization.

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Experiment design and modeling for long-term studies in ads

The Unofficial Google Data Science Blog

by HENNING HOHNHOLD, DEIRDRE O'BRIEN, and DIANE TANG In this post we discuss the challenges in measuring and modeling the long-term effect of ads on user behavior. We describe experiment designs which have proven effective for us and discuss the subtleties of trying to generalize the results via modeling.