  Metadata are like the steam engine of the 21st century, driving businesses
and offer multiple enhancements. Nevertheless, many companies are unaware that
these data can be used efficiently to improve their own operation. This is
where the Enterprise Architecture Framework comes in. It empowers an
organisation to get a clear view of their business, application, technical and
physical layer. This modelling approach is an established method for
organizations to take a deeper look into their structure and processes. The
development of such models requires a great deal of effort, is carried out
manually by interviewing stakeholders and requires continuous maintenance. Our
new approach enables the automated mining of Enterprise Architecture models.
The system uses common technologies to collect the metadata based on network
traffic, log files and other information in an organisation. Based on this, the
new approach generates EA models with the desired views points. Furthermore, a
rule and knowledge-based reasoning is used to obtain a holistic overview. This
offers a strategic decision support from business structure over process design
up to planning the appropriate support technology. Therefore, it forms the base
for organisations to act in an agile way. The modelling can be performed in
different modelling languages, including ArchiMate and the Nato Architecture
Framework (NAF). The designed approach is already evaluated on a small company
with multiple services and an infrastructure with several nodes.
