With the breakthrough of Web blog, this easy way to publish information increases exponentially the data volume and its related complexity. Spatial-temporal information (about where and when) contained inside multimedia postings need to be better understood by search engines or by end-users as it lacks semantics. The semantic web community has promoted topic maps paradigm as a technology to increase the semantic regarding the optimization of information creation, navigation, their merge and dissemination. This paper introduces a new layer that combines blog feed standards (e.g. RSS, Atom) with the topic map data model for semantic-augmented and interoperable information exchange. In addition, the paper carries out a case study on Isfahan (Iran city) using the topic maps layer to bridge the semantic gap in this context.