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Knowledge Graphs at Elsevier
The document discusses knowledge graphs in the context of a panel led by Paul Groth, the Disruptive Technology Director at Elsevier. It highlights the importance of entity-based search as a disruptive technology. The mention of the 2015 WWW industry panel suggests a focus on advancements in knowledge graph applications.
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Knowledge Graphs at Elsevier
- 1. KNOWLEDGE GRAPHS AT ELSEVIER PaulGroth (@pgroth) Disruptive Technology Director labs.elsevier.com Knowledge Graph Industry Panel WWW 2015 http://www.www2015.it/industry-track/
- 6. Search is entitybased
- 8.
Editor's Notes
- #3 data integration has been a central challenge for companies for a long time
- #4 We do data integration but for single domains
- #5 It’s already useful to identify and categorize entiies but now we need a global view. Indeed we have a hand curated taxonomies
- #6 1. Translational queries
- #7 2. Search is entity centric
- #8 3. People have become more central with the rise of the Social graph and the importance of personalization and profiles
- #9 4. Applications are data driven, we need more and higher quality data predictive models
- #10 5. Applications are data driven, extensible APIs
- #11 The flexible style of knowledge graphs
- #13 Vast fields of unstructured data is the norm
- #14 Effort to consume this data, arranging, input checking
- #15 Ever more data,
- #16 We can’t do all this by hand but we need to use the human annotators we do have more effectively especially when they are experts
- #17 Knowledge graphs make it easier to do automated extraction by having a reference point and framework for doing and managing such extractions and putting those puzzle pieces together
- #18 And also provides a powerful source of data that our monster models love
- #19 Helps solve two key challenges: data integration in a flexible way and most of the methods that we do help us acquire data Now our there are a couple of things to worry about in this idealic view
- #20 Organic – data quality is a central issue with this
- #21 I think a powerful thing is the evolution of these knowledge graphs as they grow and change overtime