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 * USER CENTRIC DATA SCIENCE: USERS, SYSTEMS, DATA
   
   
   
   
   
   
   
   


 * DATA SCIENCE: A NEW JOURNAL AT IOS PRESS
   
   About Data Science
   
   


 * CROWDTRUTH: GOLD STANDARD DATA
   FOR COGNITIVE COMPUTING SYSTEMS
   
   About CrowdTruth
   








NEWS


 


UCDS LAB CONTINUES TO WORK ON USER-CENTRIC DATA SCIENCE WITH MANY NEW FACES.

UCDS lab continues to work on User-Centric Data Science with many new faces.
With Jacco van Ossenbruggen installed as our brand new group leader, we have
been expanding the group significantly with new assistant professors, postdoc
researchers and PhD students. We are now participating in multiple ICAI labs,
including the Civic AI Lab and the Cultural AI Lab. We also continue to
collaborate in (inter) national research projects such as Interconnect, Clariah,
Hybrid Intelligence and many others. For more information, visit the People and
Project pages or contact us.

 


CAN A TRANSFORMER ASSIST IN SCIENTIFIC WRITING?

The Semantic Web community has produced a large body of literature that is
becoming increasingly difficult to manage, browse, and use. Recent work on
attention-based, sequence-to-sequence Transformer neural architecture has
produced language models that generate surprisingly convincing synthetic
conditional text samples. In this demonstration, we re-train the GPT-2
architecture using the complete corpus of proceedings of the International
Semantic Web Conference since 2002 until 2019. We use user-provided sentences to
conditionally sample paper snippets, therefore illustrating cases where this
model can help at addressing challenges in scientific paper writing, such as
navigating extensive literature, explaining the Semantic Web core concepts,
providing definitions, and even inspiring new research ideas. Links: full paper,
demo poster.

 


MACHINE-TO-MACHINE COMMUNICATION IN RURAL CONDITIONS: REALIZING KASADAKANET

In his Master Project, Fahad Ali researched using wifi sneakernets for
machine-to-machine communication to enable information sharing between
geographically distributed devices. He developed a Raspberry Pi-based device
called the Wifi-donkey that can be mounted on a vehicle and facilitates
information exchange with nearby devices, using the built-in wifi card of the
rPi 3.The solution is based on Piratebox offline file-sharing and communications
system built with free software and uses off-the-shelf Linux software components
and configuration settings to allow it to discover and connect to nearby
Kasadaka devices based using Wifi technologies.


PROJECTS




INTERCONNECT

Interoperable solutions connecting smart homes, buildings and grids

More



ODISSEI

the national research infrastructure for the social sciences in the Netherlands.

More



CLARIAH

Tools - Data- Standards - Workflows - Learn for academic research in Humanities
and Social Sciences

More


CIVIC AI LAB

Advancing Society through Inclusive AI Technology

More


OUR GROUP


 


USERS, SYSTEMS, DATA

User Centric Data Science is about how users interact with systems and consume
and produce data.

 


OUR TEAM

We are an international and diverse team of researchers.

 


VU AMSTERDAM

We are part of the Department of Computer Science at VU University Amsterdam.


PEOPLE


I am a Post-doc researcher at the VU Amsterdam and TU Delft on various projects.
I am currently spending most of my time within the Interconnect and Odissei
projects. Previously I worked on the BigDataEurope and Archimedial projects.

RONALD SIEBES

Senior Researcher

The focus of my PhD is on the use of Semantic Web technologies to enhance
Recommender Systems. In particular, I focus on gathering information from
different Linked Data and unstructured sources to improve the description of the
items to recommend. I focus mainly on media items (e.g., TV programmes) which I
enrich using DBpedia, IMDB, review websites, and other Web sources. I employ
SWI-Prolog and Python as programming language.

VALENTINA MACCATROZZO

PhD Candidate

My research focuses on the use of Semantic Web techniques for user interfaces,
document publishing, content sharing and interdisciplinary research
applications.

NIELS OCKELOEN

PhD Candidate

Jacco van Ossenbruggen is leading the Information Access group at Centrum
Wiskunde & Informatica (CWI) in Amsterdam, and affiliated as an associate
professor with the User-centric Data Science research group at VU University in
Amsterdam. His research interests include assessment of data quality in large,
heterogeneous research datasets in the digital humanities, large scale web data
integration and linking in cultural heritage and other data rich domains.

JACCO VAN OSSENBRUGGEN

Associate Professor

I am an assistant professor at VU University Amsterdam working on the semantic
web, social systems, controlled natural languages, artificial intelligence,
computational linguistics, and bioinformatics.

TOBIAS KUHN

Assistant Professor

I am an assistant professor (UD) at the User-Centric Data Science group at the
Computer Science department of the Vrije Universiteit Amsterdam (VU). I am also
a senior research fellow at Netherlands Institute for Sound and Vision. In my
research, I combine (Semantic) Web technologies with Human-Computer Interaction,
Knowledge Representation and Information Extraction to tackle research
challenges in various domains. These include Cultural Heritage, Digital
Humanities and ICT for Development (ICT4D).

VICTOR DE BOER

Assistant Professor

Dayana is a lecturer at VU and collaborator at the UCDS group. She currently
researches socio-technical aspects of the transparency principle. Along with
topics related to data protection, Dayana is also interested in Applied
Cryptography and Public-Key Infrastructure.

DAYANA SPAGNUELO

Lecturer

Working in the Odissei Project

MARGHERITA MARTORANA

PhD Student

Working in the Civic AI Lab

ELENA BERETTA

Postdoc

I am assistant professor of ethical computing at VU, and lab manager at the
Civic AI Lab. In general, I work on the means to prevent AI harms, and instead,
and design systems with positive impacts on society. For instance, I work on
methods to measure, model, and visualize AI error and bias

EMMA BEAUXIS-AUSSALET

Assistant Professor

Working in the Odissei project

OLGA GIRALDO

Postdoc

Working on the Interconnect Project on modelling IOT and Smart Home data and
developing Machine Learning approaches for Smart Home situations.

RODERICK VAN DER WEERDT

PhD Candidate

I am a Post-doc researcher at the VU Amsterdam and TU Delft on various projects.
I am currently spending most of my time within the Interconnect and Odissei
projects. Previously I worked on the BigDataEurope and Archimedial projects.

RONALD SIEBES

Senior Researcher

The focus of my PhD is on the use of Semantic Web technologies to enhance
Recommender Systems. In particular, I focus on gathering information from
different Linked Data and unstructured sources to improve the description of the
items to recommend. I focus mainly on media items (e.g., TV programmes) which I
enrich using DBpedia, IMDB, review websites, and other Web sources. I employ
SWI-Prolog and Python as programming language.

VALENTINA MACCATROZZO

PhD Candidate

My research focuses on the use of Semantic Web techniques for user interfaces,
document publishing, content sharing and interdisciplinary research
applications.

NIELS OCKELOEN

PhD Candidate

Jacco van Ossenbruggen is leading the Information Access group at Centrum
Wiskunde & Informatica (CWI) in Amsterdam, and affiliated as an associate
professor with the User-centric Data Science research group at VU University in
Amsterdam. His research interests include assessment of data quality in large,
heterogeneous research datasets in the digital humanities, large scale web data
integration and linking in cultural heritage and other data rich domains.

JACCO VAN OSSENBRUGGEN

Associate Professor

I am an assistant professor at VU University Amsterdam working on the semantic
web, social systems, controlled natural languages, artificial intelligence,
computational linguistics, and bioinformatics.

TOBIAS KUHN

Assistant Professor

I am an assistant professor (UD) at the User-Centric Data Science group at the
Computer Science department of the Vrije Universiteit Amsterdam (VU). I am also
a senior research fellow at Netherlands Institute for Sound and Vision. In my
research, I combine (Semantic) Web technologies with Human-Computer Interaction,
Knowledge Representation and Information Extraction to tackle research
challenges in various domains. These include Cultural Heritage, Digital
Humanities and ICT for Development (ICT4D).

VICTOR DE BOER

Assistant Professor




SPOTLIGHT PUBLICATIONS


These are some selected publications. Click on the button below for a complete
overview!
More Papers

DECENTRALIZED PROVENANCE-AWARE PUBLISHING WITH NANOPUBLICATIONS

Publication and archival of scientific results is still commonly considered the
responsability of classical publishing companies. Classical forms of publishing,
however, which center around printed narrative articles, no longer seem
well-suited in the digital age. In particular, there exist currently no
efficient, reliable, and agreed-upon methods for publishing scientific datasets,
which have become increasingly important for science. In this article, we
propose to design scientific data publishing as a web-based bottom-up process,
without top-down control of central authorities such as publishing companies.
Based on a novel combination of existing concepts and technologies, we present a
server network to decentrally store and archive data in the form of
nanopublications, an RDF-based format to represent scientific data. We show how
this approach allows researchers to publish, retrieve, verify, and recombine
datasets of nanopublications in a reliable and trustworthy manner, and we argue
that this architecture could be used as a low-level data publication layer to
serve the Semantic Web in general. Our evaluation of the current network shows
that this system is efficient and reliable.

A CROWDSOURCING GROUND TRUTH FOR MEDICAL RELATION EXTRACTION

Cognitive computing systems require human labeled data for evaluation, and often
for training. The standard practice used in gathering this data minimizes
disagreement between annotators, and we have found this results in data that
fails to account for the ambiguity inherent in language. We have proposed the
CrowdTruth method for collecting ground truth through crowdsourcing, that
reconsiders the role of people in machine learning based on the observation that
disagreement between annotators provides a useful signal for phenomena such as
ambiguity in the text. We report on using this method to build an annotated data
set for medical relation extraction for the cause and treat relations, and how
this data performed in a supervised training experiment. We demonstrate that by
modeling ambiguity, labeled data gathered from crowd workers can (1) reach the
level of quality of domain experts for this task while reducing the cost, and
(2) provide better training data at scale than distant supervision. We further
propose and validate new weighted measures for precision, recall, and F-measure,
that account for ambiguity in both human and machine performance on this task.


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T +31 20 59 87782
m.lovrencak@vu.nl




USER CENTRIC DATA SCIENCE @ VU UNIVERSITY AMSTERDAM



The User Centric Data Science group is part of the department of Computer
Science, Faculty of Sciences, VU University Amsterdam



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