  Many companies have a suite of digital tools, such as Enterprise Social
Networks, conferencing and document sharing software, and email, to facilitate
collaboration among employees. During, or at the end of a collaboration,
documents are often produced. People who were not involved in the initial
collaboration often have difficulties understanding parts of its content
because they are lacking the overall context. We argue there is valuable
contextual and collaborative knowledge contained in these tools (content and
use) that can be used to understand the document. Our goal is to rebuild the
conversations that took place over a messaging service and their links with a
digital conferencing tool during document production. The novelty in our
approach is to combine several conversation-threading methods to identify
interesting links between distinct conversations. Specifically we combine
header-field information with social, temporal and semantic proximities. Our
findings suggest the messaging service and conferencing tool are used in a
complementary way. The primary results confirm that combining different
conversation threading approaches is efficient to detect and construct
conversation threads from distinct digital conversations concerning the same
document.
