The　development　of　the　internet　of　things　provides　the　basis　for　monitoring　systems　used　in　the　building　structure　monitoring　area,　and　this　makes　it　possible　to　collect　data　for　the　safety　of　different　kinds　of　building　structure.　A　series　of　intelligent　services　can　be　provided　according　to　these　data.　This　paper　proposes　a　monitoring　system　for　the　safety　of　building　structure　based　on　semantic　technology.　In　this　system,　various　sensors　which　are　connected　via　cable　or　wireless　way,　are　used　to　monitor　the　different　parameters　of　building　structure.　The　semantic　data　can　be　obtained　and　represented　in　RDF　to　describe　the　sensor　data,　and　can　provide　the　application　background　for　users.　LarKC,　a　platform　for　scalable　semantic　data　processing,　is　used　for　semantic　querying　over　the　data.　Based　on　this　uniform　representation　of　data　and　semantic　processing,　intelligent　services　can　be　provided　by　the　effective　data　analysis.　This　provides　the　possibility　to　integrate　all　of　the　monitoring　systems　for　the　safety　of　building　structure　in　urban　computing.