Predicting　the　seismic　loss　of　a　building　is　critical　for　its　resilience.　A　prediction　method　for　building　seismic　loss　based　on　the　building　information　model　(BIM)　and　FEMA　P-58　is　proposed　in　this　study.　First,　a　component-level　damage　prediction　algorithm　is　designed　to　establish　the　mapping　from　BIM　components　to　the　performance　groups　(PGs)　in　FEMA　P-58,　and　to　predict　the　component　damage　using　the　BIM-based　time-history　analysis　(THA)　and　the　fragility　curves　of　PGs.　Subsequently,　an　ontology-based　model　considering　the　deduction　rules　in　the　local　unit-repair-cost　database　is　created　for　obtaining　exact　measurement　data　of　components　in　a　BIM.　Meanwhile,　a　component-level　loss　prediction　algorithm　is　developed　using　the　measurement　data　and　the　unit　repair　costs　corresponding　to　damage　states,　by　which　the　predicted　seismic　losses　can　agree　with　the　actual　situation　of　the　specific　region.　Finally,　a　component-level　visualization　algorithm　is　designed　to　display　the　seismic　damage　and　loss　in　a　virtual　reality　(VR)　environment.　A　six-story　office　building　in　Beijing　is　used　as　a　pilot　test　to　demonstrate　the　advantages　of　the　proposed　method.　The　outcome　of　this　study　produces　a　component-level　and　visual　loss　prediction　result　that　agrees　with　the　actual　situation　of　the　specific　region,　which　can　be　used　to　evaluate　the　post-earthquake　economic　resilience　of　different　buildings.