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The number of scientific papers grows exponentially in many disciplines. Theshare of online available papers grows as well. At the same time, the period oftime for a paper to loose at chance to be cited anymore shortens. The decay ofthe citing rate shows similarity to ultradiffusional processes as for otheronline contents in social networks. The distribution of papers per author showssimilarity to the distribution of posts per user in social networks. The rateof uncited papers for online available papers grows while some papers 'goviral' in terms of being cited. Summarized, the practice of scientificpublishing moves towards the domain of social networks. The goal of thisproject is to create a text engineering tool, which can semi-automaticallycategorize a paper according to its type of contribution and extractrelationships between them into an ontological database. Semi-automaticcategorization means that the mistakes made by automatic pre-categorization andrelationship-extraction will be corrected through a wikipedia-like front-end byvolunteers from general public. This tool should not only help researchers andthe general public to find relevant supplementary material and peers faster,but also provide more information for research funding agencies.

Research Project: Text Engineering Tool for Ontological Scientometry