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Using text summarizing to support planning of research and development

: Thorleuchter, Dirk; Poel, Dirk van den

Postprint urn:nbn:de:0011-n-3035132 (194 KByte PDF)
MD5 Fingerprint: 9803ba0deb017f8a39985e4747c94209
The original publication is available at
Created on: 19.8.2014

Rocha, Á.:
New perspectives in information systems and technologies. Vol.1 : This book contains a selection of articles from the 2014 World Conference on Information Systems and Technologies (WorldCIST'14), held between the 15th and 18th of April in Funchal, Madeira, Portugal
Cham: Springer International Publishing, 2014 (Advances in Intelligent Systems and Computing 275)
ISBN: 978-3-319-05950-1 (Print)
ISBN: 978-3-319-05951-8 (Online)
World Conference on Information Systems and Technologies (WorldCIST) <2014, Funchal>
Conference Paper, Electronic Publication
Fraunhofer INT ()
text mining; text summarizing; decision support; knowledge discovery; R&D planning

Some governmental organizations process a large number of research and development (R&D) projects simultaneously in their R&D program. For the planning of such a R&D program, decision makers can be supported by providing an overview that contains summaries of all currently running projects because they normally are not experts in all concerned R&D areas. A manual creation of such an overview is time consuming because the description of each project has been summarized in a homogeneous form. Further, each project summary has to be updated very often to consider changes within the project. Based on results of comprehensibility research, we identify a specific structure for the project summaries to ensure comprehensibility for a decision maker and usefulness for the R&D program planning. We introduce a new approach that enables a semi-automatic summarization of descriptions from R&D projects. It creates a summary in accordance to the proposed structure. A case study shows that the time taken by using the introduced approach is less than by creating a summary manually. As a result, the proposed methodology supports decision makers by planning an R&D program.