Re: DKG talk - Supporting Professional Information Workflows With Knowledge Graphs by Anupriya Ankolekar (Tue 05/09 18:00)

The stream for this talk has started on Youtube:

and you can ask questions in the chat if interested.


Le 01/09/2023 à 16:04, Anastasia Dimou a écrit :
> Dear all,
> ournext talk in the online talk series of our Distributed Knowledge 
> Graphs (DKG) COST Actionin collaboration with the Semantic Web Science 
> Association (SWSA) is scheduled for*Tue Sep 5th 2023 at 18:00*(CEST) / 
> Tue Sep 5th 2023 at 12:00 (EDT) / Wed Sep 6th 2023 at 0:00 (CST), and 
> our speaker will be Anupriya Ankolekar (Co-Founder & Principal Scientist 
> at ModuleQ).
> The talk will be on “*Supporting Professional Information Workflows With 
> Knowledge Graphs*”. The abstract and bio of the speaker follow. The talk 
> will be *live streamed at our YouTube channel* 
> ( 
> <>).
> *bio*: Anupriya Ankolekar is Co-Founder & Principal Scientist at 
> ModuleQ,an enterprise AI startup focussed on empowering knowledge 
> professionals through proactive, mission-critical business intelligence 
> and insights.Prior to ModuleQ, Anupriya was a Principal Research 
> Scientist atHewlett-Packard Labs in Palo Alto and an Assistant Professor 
> at theinstitute AIFB at Karlsruhe Institute of Technology (KIT) in 
> Germany.She holds a PhD inHuman-Computer Interaction from Carnegie 
> MellonUniversity and a Masters in Computer Science from RWTH Aachen. 
> Shereceived the SWSA Ten-Year Award in 2011.
> *abstract*: The vision of agents supporting human tasks and workflows 
> gaverise to the field of Semantic Web, which in turn led to 
> significantdevelopments, such as web ontologies, linked data, semantic 
> webservices, and knowledge graphs. In this talk, I'll make the case 
> thatsupportinginformation workflows for professional, strategic 
> knowledgework and learning is a valuable application area for knowledge 
> graphs.Professional information workflows are complex, role-dependent 
> andstretch across application and enterprise boundaries. I'll describe 
> examples of such workflows, outline a vision for proactive 
> human-centredAI support for them and describe our approach at ModuleQ 
> inspired byknowledge graphs. Key elements of our approach are 
> explicitrepresentation of professional and organizational 
> priorities,information fusion of work traces across applications, and 
> contextualknowledge to interpret professional work and to proactively 
> identifyrelevant content and resources. I'll conclude with some of the 
> challenges and open questions for building effective informationworkflow 
> support.
> Kind regards,
> Anastasia

Antoine Zimmermann
École des Mines de Saint-Étienne
158 cours Fauriel
CS 62362
42023 Saint-Étienne Cedex 2
Tél:+33(0)4 77 49 97 02

Received on Tuesday, 5 September 2023 16:04:24 UTC