I am an assistant professor (UD) at the Web & Media 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). More information on these projects can be found on this site or through my CV .
This is a first post in a new series on VU Semantic Web reading club. During this weekly reading club we discuss a research paper related to Semantic Web, Human Computation or Computer Science in general. Every week, one group member selects and prepares a paper to discuss. This week it was my time and I chose a paper from 2013: “Dance in the World of Data and Objects” by Katerina El Raheb and Yannis Ioannidis (full citation and abstract below). The paper presents the need for (OWL) ontologies for dance representation. A quite nice slide deck supporting the paper is found here.
Computer-interpretable knowledge representations for dance is something I have been thinking about for a while now. I am mostly interested in representations that actually match the conceptual level at which dancers and choreoraphers communicate and how these are related to low-level representations such as Labanotation. I am currently supervising two Msc students on this topic.
- Archiving dance and for retrieval. This is a more ‘traditional’ use of such representations in ICT for Cultural Heritage. An interesting effect of having this represented using standard semantic web languages is that we can connect deep representations of choreographers to highly heterogeneous knowledge about for example dance or musical styles, locations, recordings, emotions etc. An interesting direct connection could be to Albert Merono’s RDF midi representations.
- For dance analysis. By having large amounts of data in this representation, we can support Digital Humanities research. Both in more distant reading, but potentially also more close analysis of dance. Machine learning techniques could be of use herer.
- For creative support. Potentially very interesting is to investigate to what extent representations of dance can be used to support the creative process of dancers and choreographers. We can think of pattern-based adaptations of choreographies.
Citation: El Raheb K., Ioannidis Y. (2013) Dance in the World of Data and Objects. In: Nesi P., Santucci R. (eds) Information Technologies for Performing Arts, Media Access, and Entertainment. Lecture Notes in Computer Science, vol 7990. Springer, Berlin, Heidelberg
Abstract: In this paper, we discuss the challenges that we have faced and the solutions we have identified so far in our currently on-going effort to design and develop a Dance Information System for archiving traditional dance, one of the most significant realms of intangible cultural heritage. Our approach is based on Description Logics and aims at representing dance moves in a way that is both machine readable and human understandable to support semantic search and movement analysis. For this purpose, we are inspired by similar efforts on other cultural heritage artifacts and propose to use an ontology on dance moves (DanceOWL) that is based on the Labanotation concepts. We are thus able to represent dance movement as a synthesis of structures and sequences at different levels of conceptual abstraction, which serve the needs of different potential users, e.g., dance analysts, cultural anthropologists. We explain the rationale of this methodology, taking into account the state of the art and comparing it with similar efforts that are also in progress, outlining the similarities and differences in our respective objectives and perspectives. Finally, we describe the status of our effort and discuss the steps we intend to take next as we proceed towards the original goal.
On 21 and 22 March, researchers from VU’s Web and Media group attended ICT.OPEN, the principal ICT research conference in the Netherlands. Here over 500 scientists from all ICT research disciplines & interested researchers from industry come together to learn from each other, share ideas and network. The conference featured some great keynote speeches, including one from Nissan’s Erik Vinkhuyzen on the role of anthropological and sociological research to develop better self-driving cars. Barbara Terhal from Aachen University gave a challenging, but well-presented talk on the challenges regarding robustness for quantum computing.
As last year, the Web and Media group this year was well represented through multiple oral presentations with accompanying posters and demonstrations :
- Oana Inel, Carlos Martinez and Victor de Boer presented DIVEplus. Oana did such a good job presenting the project in the main programme (see Oana’s DIVE+@ICTOpen2017 slides), through the demo and in front of a poster that the poster was selected as best Poster in the SIKS track.
- Benjamin Timmermans, Tobias Kuhn and Tibor Vermeij presented the Controcurator project with a demonstration and poster presentation. In the demo the ControCurator human-machine framework for identifying controversy in multimodal data is shown.
- Tobias Kuhn discussed “Genuine Semantic Publishing” in the Computer Science track on the first day. His slides can be found here. After the talk there was a very interesting discussion about the role of the narrative writing process and how it would relate to semantic publishing.
- Ronald Siebes and Victor de Boer then discussed how Big and Linked Data technologies developed in the Big Data Europe project are used to deliver pharmacological web-services for drug discovery. You can read more in Ronald’s blog post.
- Benjamin Timmermans and Zoltan Zslavik also presented the CrowdTruth demonstrator, which is shown in this short demonstrator video.
- Sabrina Sauer presented the MediaNow project with a nice poster titled MediaNow – using a living lab method to understand media professionals’ exploratory search.
— Victor de Boer (@victordeboer) March 21, 2017
Last week, BigDataEurope was present at the principal ICT research conference in the Netherlands, ICT.OPEN, where over 500 scientists from all ICT research disciplines & interested researchers from industry come together to learn from each other, share ideas and network.
This is the first time that the NWO, the Netherlands Organisation for Scientific Research, added the “Health” track, a recognition of the increased importance of ICT in the domain of diagnosis, drug discovery and health-care. We presented a short paper written by Ronald Siebes, Victor de Boer, Bryn Williams-Jones, Kiera McNeice and Stian Soiland-Reyes covering the current state of the SC1 “Health, demographic change and well-being” pilot which implements the Open PHACTS functionality on the Big Data Europe infrastructure.
We succeeded to demonstrate the ease of use and practical value of the SC1 pilot for researchers in the domain of Drug Discovery and developers of Big Linked Data solutions and are looking forward to further strengthen our collaboration with the various. The paper was accepted as a poster presentation but also selected for an oral presentation at the “Health & ICT” track.
For those curious about the Big Data Europe technology stack and who rather view videos than read descriptions and documentation, we have started a youtube video channel where BDE researchers explain the how, why and what of the BDE stack. Embedded below is a short clip of Hajira Jabeen explaining how BDE enables someone to get started with Big Data. More clips are available on the channel.
As a teaser for our upcoming ICT4D students. Have a look at this nice video that André Baart made
The Netherlands Institute for Sound and Vision (NISV) archives Dutch broadcast TV and makes it available to researchers, professionals and the general public. One subset are the Polygoonjournaals (Public News broadcasts) that are published under open licenses as part of the OpenImages platform. NISV is also interested in exploring new ways and technologies to make interaction with the material easier and to increase exposure to their archives. In this context, Rudy explored two options.
One part of the research was the autonomous colorization of old black-and-white video footage using Neural Networks. Rudy used a pre-trained NN (Zhang et al 2016) that is able to colorize black and white images. Rudy developed a program to split videos into frames, colorize the individual frames using the NN and then ‘stitch’ them back together into colorized videos. The stunning results were very well received by NISV employees. Examples are shown below.
In the other part of his research, Rudy investigated to what extent the existing news broadcast corpus, with a voice-overs from the famous Philip Bloemendal can be used to develop a modern text-to-speech engine with his voice. To do so he have mainly focused on natural language processing and the determination to what extent the language used by Bloemendal in the 1970s is still comparable enough to contemporary Dutch.
Rudy used precompiled automatic speech recognition (ASR) results to match words to sounds and developed a slot-and-filler text-to-speech system based on this. To increase the limited vocabulary, he implemented a number of strategies, including term-expansion through the use of Open Dutch Wordnet and smart decompounding (this mostly works for Dutch, mapping ‘sinterklaasoptocht’ to ‘sinterklaas’ and ‘optocht’. The different strategies were compared to a baseline. Rudy found that a combination of the two resulted in the best performance (see figure). For more information:
On 9 December 2016, the second workshop for the Big Data Europe Health, Demographic Change and Wellbeing societal challenge was held in Brussels. The aim of this workshop was to highlight progress from the BigDataEurope project in building the foundations of a generically applicable big data platform which can be applied across all Horizon 2020 societal challenges. This workshop specifically focused on health, and showcased our first pilot’s application to early bioscience research data.
The workshop had 15 participants, from within the health domain and outside it, including many participants from the European Commission. Together we discussed different perspectives on how we may use appropriate H2020 instruments and work programmes to better integrate the ecosystem of linked data repositories, data management services and virtual collaboration environments to increase the pace of knowledge sharing in health.
The workshop featured presentations from BDE’s Simon Scerri and Aad Versteden on the general goals and progress of the BigDataEurope project and the BDE infrastructure respectively. After lunch, Ronald Siebes (BDE / VU Amsterdam) presented the first pilot in this specific domain. More information on that pilot can be found here. An extensive round-table discussion followed, in which possible options for new applications and connections were considered.
One question raised was whether the generic BDE infrastructure can be used by European SMEs. The fact that the BDE infrastructure is completely Open Source, very easy to install and features intuitive interface components makes re-use relatively simple even for smaller institutions and companies.
A significant part of the discussion focussed on possible new use cases for expanding the scope of the pilot. One suggestion was to look at post-hoc integration of clinical data, which represents a typical problem of data ‘variance’. This would require integrating information from different versions of medical questionnaires, which may be recorded or stored in different ways. Data provenance is also a key concern, as keeping a trail of what has happened to clinical data is crucial to tracking patients’ histories. Once integrated, this data could then be mined to identify biases or data patterns.
Finally, the workshop participants discussed potential connections to other European projects. Here many projects were mentioned including the MIDAS project, the Big-O project on childhood obesity, the PULSE projects and IMI / IMI2 projects including EMIF. We will be seeking collaborations with these projects and will continue to develop new and interesting Big Data use cases in this domain in the coming year.
For its 10th anniversary, the Web Science Trust organized an event Webscience@10. For this event, a Webscience@10 TV channel was launched to showcase different research and education initatives around the world. On behalf of the VU Network Institute and W4RA, we submitted our Web of Voices video as well as a short introduction to the W4RA team.