Livia Predoiu

e-mail: predoiu 'at' ovgu.de
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Introduction

I received my diploma in Computer Science from the University of Freiburg in Germany. Afterwards, I was a researcher at the University of Innsbruck in Austria and at the University of Mannheim in Germany and also worked at the State Archive of Saxony-Anhalt in Germany. Currently, I am affiliated with the University of Magdeburg. In the last years, I have been involved in different kinds of research topics around the Semantic Web and Semantic Technologies in general. I have been working in the area of Semantic Social Networks, Semantic Web Services and Information Integration in the Semantic Web. The latter is also the topic of my PhD. The projects I worked in range from EU funded projects like the projects SEKT and DIP to national funded projects like SemNetMan and a project within the german Emmy-Noether programme. My reviewing activities range from numerous workshops and conferences to journals like the Semantic Web Journal, the Journal of Data Semantics, the Knowledge and Information Systems Journal and the Data & Knowledge Engineering Journal. I was also involved in research project proposal reviewing for the 7th Framework Programme of the European Union.


Research Interests

My research interests involve different kinds of topics in the area of knowledge representation, knowledge management and reasoning. My PhD research aims at tackling a specific problem in this area, namely Information Integration and Information Retrieval in the Semantic Web. This work is motivated by the fact that the amount of information describing overlapping domains by means of distributed ontologies is increasing. Therefore, the necessity to apply automatic matching and integration techniques in order to integrate that huge amount of information needs to be faced. However, the results of automatic matching and integration techniques per se are attached with some sort of uncertainty. E.g. any matcher produces its mappings with a confidence represented by a number between 0 (= a mapping does certainly not hold) and 1 (= a mapping does certainly hold). Those confidence numbers usually lie in the interval (0,1), i.e. 0 and 1 are very seldomly met. My research revolves around developing an integrated framework for modelling the results of those uncertain matching techniques by means of probability theory and reasoning with uncertain mappings and deterministic ontologies. Of course, this framework can also be used with the Linked Open Data cloud.

Recently, I have also become involved in university didactics research. My research interest in this area focuses mainly on didactis and assessment within long-term software implementation projects in teams at University. During my work at the state archive of Saxony-Anhalt, I have also discovered Digital Archives as a very interesting and promising research area especially when combined with knowledge management and semantic web research yielding Semantic Digital Archives.


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Presentations:

I started to keep track of my presentations in 2010. However, two selected invited talks are mentioned at their most succinct as well.