Acceso usuarios
As scientific output is constantly growing, it is getting more and more important to keep track not only for researchers but also for other scientific stakeholders such as funding agencies or research companies. Each stakeholder values different types of information. A funding agency, for instance, might be rather interested in the number of publications funded by their grants. However, information extraction approaches tend to be rather researcher-centric indicated, for example, by the type of named entities to be recognized. In this paper we account for additional perspectives by proposing an ontological description of one scientific domain � the computer science domain. We accordingly annotated a set of 22 computer science papers by hand and make this data set publicly available. In addition, we started to apply methods to automatically extract instances and report preliminary results. Taking various stakeholders' interests into account as well as automating the mining process represent prerequisites for our vision of a "Marketplace for the Scientific Community" where stakeholders can exchange not only information but also search concepts or annotated data.
