Topic Maps is a standards-based technology and model for organizing and integrating digital information in a range of applications and domains. Drawing on notions adapted from current discourse theory, this article focuses on the communicative, or explanatory, potential of topic maps. It is demonstrated that topic maps may be structured in ways that are “text-like” in character and, therefore, conducive to more expository or discursive forms of machine-readable information architecture. More specifically, it is exemplified how a certain measure of “texture”, i.e. textual cohesion and coherence, may be built into topic maps. Further, it is argued that the capability to represent and organize discourse structure may prove useful, if not essential, in systems and services associated with the emerging Socio-Semantic Web. As an example, it is illustrated how topic maps may be put to use within an area such as distributed semantic micro-blogging [1].