Web Information Systems Group

The Software and Computer Technology department at Delft University of Technology (TU Delft) started with the appointment of prof.dr.ir. Geert-Jan Houben a new group on Web Information Systems (WIS). The WIS research group concentrates in its research on engineering and science of the Web. The research specifically considers the role of Web data in the engineering of Web-based information systems. The group's research is aimed at improving the understanding of people's actions, motivations, and behaviors on the Web, and subsequently leveraging that knowledge to build Web applications that are semantic, personalized and adaptive.
This includes topics in harvesting, integrating, transforming, analyzing, and retrieving Web data, with focus on the special properties of Web data. A large portion of Web data is human-made, e.g. in social networks or Twitter streams, and this brings scientific challenges in how to effectively attribute meaning to Web data. The size of the Web brings challenges in how to efficiently store, index, and analyze data at Web scale. WIS researchers and students strive to advance the state-of-the-art in relevant areas like user modeling, Web science, information retrieval, Web engineering, Web data management, and crowdsourcing.
Main activities in the group's research concern

Further details on the research activities that the WIS team is doing are listed at Research Lines

Trending research activities: ImREALSocialGlassWUDEDelft Data Science (DDS)RDFGears, TwitcidentAMSGeniUS, U-Sem and Twinder.

Follow us on Twitter: @wisdelft

WIS activities & news

Vacancy for a PhD student

We are looking for a PhD student, whose research focuses on the modeling and analysis of learners and their learning processes in the context of MOOCs (Massive Open Online Courses). Deadline: October 15th, 2014. [More details]

Vacancy for a Student Software Developer

We are looking for searching for an enthusiastic student software developer, whose job focuses on building a Web-based analysis platform in the context of MOOCs (Massive Open Online Courses). Start as soon as possible. [More details]

IEEE Big Data 2014 paper accepted

The paper titled "Facilitating Twitter Data Analytics: Platform, Language, and Functionality" by Ke Tao, Claudia Hauff, Geert-Jan Houben, Fabian Abel, and Guido Wachsmuth, has been accepted for IEEE Int'l Conf. on Big Data 2014.

WIS participates in AMS with its social data science research

The WIS group is present with its social data science research in AMS, the Amsterdam Institute for Advanced Metropolitan Solutions.

Qi Gao defended his PhD thesis

Qi Gao has successfully defended his PhD thesis, titled User Modeling and Personalization in the Microblogging Sphere.

UMAP 2014 proceedings published

The proceedings of User Modeling, Adaptation and Personalization (UMAP) 2014 have been published by Springer.

Delft Data Science

WIS is involved with its research on social web data analytics in Delft Data Science (DDS).

PoliMedia winner of the LinkedUp Challenge

The PoliMedia project, in collaboration with Erasmus University, Sound & Vision, and VU, has won the LinkedUp Challenge (press release in Dutch).

WUDE and the Rijksmuseum articles published

There have been two general audience articles published about the research done within WUDE together with the Rijksmuseum. One in Dutch on Frankwatching and one in English in the TUDelft Delta.

ImREAL video released

The official video for the ImREAL project has been formally released with great success.

Nomination for best student paper at JCDL 2013

The paper "Identification of Useful User Comments in Social Media: A Case Study on Flickr Commons" by Elaheh Momeni, Ke Tao et al. has been nominated for the Best Student Paper award for JCDL 2013.

ImREAL International Innovation article published

An International Innovation article has been published on the ImREAL project.

UMUAI paper now online

The paper in the UMUAI journal on "cross-system user modeling and personalization in the social web" by Fabian Abel, Eelco Herder, Geert-Jan Houben, Nicola Henze, and Daniel Krause is now online: link.springer.com/article/10.1007/s11257-012-9131-2

Coverage in popular press

Our work on analyzing differences between Twitter and Sina Weibo was covered in New Scientist and UK Daily Telegraph. The work with our partners on Twitcident made it into several sources including Wired.

James Chen Best Student Paper Award at UMAP2012

"A Comparative Study of Users' Microblogging Behavior on Sina Weibo and Twitter" by Qi Gao, Fabian Abel, Geert-Jan Houben (all from WIS) and Yong Yu (from SJTU) won the James Chen Best Student Paper Award at UMAP, the premier international conference on User Modeling, Adaptation and Personalization, this year in Canada.

Twitcident

Twitcident focuses on real-time analytics and delivery of relevant tweets during large incidents and emergencies.

Best Paper at UMAP2011

"Analyzing User Modeling on Twitter for Personalized News Recommendations" by Fabian Abel, Qi Gao, Geert-Jan Houben and Ke Tao (all from WIS) won the Best Paper award at UMAP, the premier international conference on User Modeling, Adaptation and Personalization, this year in Spain. At http://wis.ewi.tudelft.nl/umap2011/ you find relevant material about that paper.