: This paper proposes a methodology for constructing Semantic Campus, a Semantic Web application that represents the social network of the academics in the university, King Mongkut’s Institute of Technology North Bangkok. Semantic Campus is constructed by extracting data that is available on the web site of the university. The extracted data is analyzed with respect to its association to terms defined in an ontology and associations between people in the university to reveal whether or not one academic knows another. We also discuss relation analysis that considers direct and indirect association of the campus-based resources (i.e. knowledge about the people) contained in Semantic Campus. Such analysis can be used, for example, to find specific experts in the university and research interests shared by a number of academics.