As　time　goes　on,　a　lot　of　old　residential　communities　have　stepped　into　the　accident　season,　which　often　have　no　condition　for　deploying　the　monitoring　systems　for　the　safety　of　building　structure.　Modern　mobile　and　information　technologies　make　it　possible　for　the　residents　in　the　community　to　preliminarily　check　and　roughly　report　the　structure　problems　by　taking　photos　with　digital　camera　or　mobile　phone.　These　photos　and　their　metadata　are　uploaded　to　the　data　server,　and　then　integrated　with　the　building　ontology　into　a　platform　named　LarKC.　We　present　the　ontology-based　building　model,　which　gives　the　formal　description　of　each　building　and　its　interior　units.　By　the　semantic　attributes,　the　photos　are　adhered　to　the　buildings　on　the　map　and　displayed　in　corresponding　webpage.　The　risk　factors　of　the　building　and　its　interior　units　will　be　recalculated　when　a　new　photo　arrives,　and　the　early　warning　can　be　triggered　under　some　warning　rules.　At　last　we　describe　the　concrete　implementation　of　this　system　and　give　some　actual-effect　pictures　of　the　already-developed　works.　©,　2015,　Journal　of　Computational　Information　Systems.　All　right　reserved.