We are very pleased to announce that our group got 2 papers accepted for presentation at KESW 2017, which will be held on 08-10 November 2017 in Szczecin, Poland.
The International Conference on Knowledge Engineering and Semantic Web (KESW) is the top international event dedicated to discussing research results and directions in the areas related to Knowledge Representation and Reasoning, Semantic Web, and Linked Data. Its aim is to bring together researchers, practitioners, and educators, in particular from ex-USSR, Eastern and Northern Europe, to present and share ideas regarding Semantic Web, and popularize the area in these regions.
Here is the list of the accepted paper with their abstract:
“Managing Lifecycle of Big Data Applications” by Ivan Ermilov, Axel-Cyrille Ngonga Ngomo, Aad Versteden, Hajira Jabeen, Gezim Sejdiu, Giorgos Argyriou, Luigi Selmi, Jürgen Jakobitsch and Jens Lehmann.
Abstract: The growing digitization and networking process within our society has a large influence on all aspects of everyday life. Large amounts of data are being produced continuously, and when these are analyzed and interlinked they have the potential to create new knowledge and intelligent solutions for economy and society. To process this data, we developed the Big Data Integrator (BDI) Platform with various Big Data components available out-of-the-box. The integration of the components inside the BDI Platform requires components homogenization, which leads to the standardization of the development process. To support these activities we created the BDI Stack Lifecycle (SL), which consists of development, packaging, composition, enhancement, deployment and monitoring steps. In this paper, we show how we support the BDI SL with the enhancement applications developed in the BDE project. As an evaluation, we demonstrate the applicability of the BDI SL on three pilots in the domains of transport, social sciences and security.
“Ontology-based Representation of Learner Profiles for Accessible OpenCourseWare Systems” by Mirette Elias, Steffen Lohmann, Sören Auer.
Abstract: The development of accessible web applications has gained significant attention over the past couple of years due to the widespread use of the Internet and the equality laws enforced by governments. Particularly in e-learning contexts, web accessibility plays an important role, as e-learning often requires to be inclusive, addressing all types of learners, including those with disabilities. However, there is still no comprehensive formal representation of learners with disabilities and their particular accessibility needs in e-learning contexts. We propose the use of ontologies to represent accessibility needs and preferences of learners in order to structure the knowledge and to access the information for recommendations and adaptations in e-learning contexts. In particular, we reused the concepts of the ACCESSIBLE ontology and extended them with concepts defined by the IMS Global Learning Consortium. We show how OpenCourseWare systems can be adapted based on this ontology to improve accessibility.
Acknowledgments
These work were supported by the European Union’s H2020 research and innovation program BigDataEurope (GA no.644564) and the European Union’s H2020 project SlideWiki (grant no. 688095).
Looking forward to seeing you at KESW 2017.