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Today information items on user’s workstations are usually stored in separate collections depending on their format.
This results in a disconnect between information systems and user needs leading to high lookup times during task related information retrieval. This paper presents an approach to reduce document based information fragmentation by semantically
reconnecting electronic documents to each other
without imposing additional training or tagging workload on the user.
To this end the actions knowledge workers perform
on their desktop are transparently monitored to analyze the user’s interaction with his computer system. These action metadata are further clustered by superordinate activities performed by the user. Finally documents attached to window instances within the identified activity clusters
are semantically related to each other reducing the fragmentation of their contained information.
This allows a subsequent associative information discovery navigating from one document instance to other related document instances. A prototypical implementation and evaluation in a small scale
testing setup indicates the validity of the approach.