Human-Centered Data Analytics

Human-Centered Data Analytics

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The Human-Centered Data Analytics (HCDA) research group at CWI (formerly known as (Interactive) Information Access, IA, or INS2).

The Interactive Information Access (INS2) research group investigates how access to information can be improved with humans ‘in the loop’, in the context of the rich heterogeneous information collections that arise as dataspaces; a relatively new concept introduced in the database field that simply refers to all data in scope of an entity (an organisation, a person, but also a smart home).

Photos from Human-Centered Data Analytics's post 06/06/2018

When the best student paper is also the best paper: double bonus! Congratulations Myriam, Thaer, Lynda and Jacco!!

CWI Information Acces Group 29/11/2017

Thanks to everyone involved! "Whiteboxing the blackbox"

CWI Information Acces Group The Information Access research group at CWI develops methods and techniques to better support users in accessing information that is heterogeneous, subjecti...

15/05/2017

Interview with Laura Hollink about her work!

A brief talk with Laura Hollink | Semantics 2017 Laura Hollink is data science chair at SEMANTiCS2017 and a researcher at CWI, the Netherlands' national research institute for mathematics and computer science. In the Information Access research group at CWI, they develop methods and techniques to support users in accessing information that is hete...

26/04/2017

Happy to announce that Davide Ceolin will join our group from October 1. Looking forward to working together on online data quality and other interesting topics!

29/11/2016

Pre-announcement:
Postdoc on “Evolving knowledge graphs from scientific texts”

In collaboration with Elsevier and Amsterdam Data Science we are looking for a talented post-doctoral researcher with a strong background in NLP and text-mining; expertise in areas related to HCI and/or knowledge engineering is also relevant.

Many high quality scientific databases are now being curated manually by human domain experts. In this project we aim to develop methods and techniques to evolve knowledge bases in specific domains (semi) automatically, while optimizing human curation efforts needed to guarantee the quality of each update. In addition, we aim to explicitly model and link entities that play a role in different domains. You will develop robust text-mining and other techniques that can handle potentially contradictory information and run these on large corpora of scientific publications to populate knowledge graphs with weighted relationships. You will design and apply metrics to effectively measure the quality of your results, and show the relevancy of your work in the context of a concrete business case.

Formal job opening will follow soon - stay tuned

28/09/2016

A great chance to spend a year with CWI in Amsterdam. You would stand in the footsteps of Alejandro Bellogin and Alan Said, among others.

ERCIM Fellowship programme ERCIM Alain Bensoussan Fellowship programme

24/08/2016

The deadline for the Drift-a-LOD workshop on Concept Drift & Linked Open Data is approaching slowly.... less than 3 weeks to go! http://event.cwi.nl/drift-a-lod/2016/

Drift-a-LOD Workshop 2016 The continuous growth of the Linked Open Data (LOD) Cloud is extending to various new domains. In many of these, �facts change continuously: political landscapes evolve, medical discoveries lead to new cures, artists form new collaborations. In terms of knowledge representation, we observe that inst...

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