As　the　infrastructure　supporting　smart　home　evolves,　smart　home　has　entered　a　new　stage　featured　by　intelligent　services.　A　large　number　of　complex　and　heterogeneous　smart　devices　cooperate　with　each　other,　and　make　up　plenty　of　intelligent　and　integrated　smart　home　applications,　in　which　context-aware　services　can　be　regarded　as　typical　representatives.　The　context-aware　services　aim　to　provide　accurate　services　to　users　according　to　their　contexts.　Developers　usually　design　and　develop　these　services　based　on　scenario,　and　face　huge　challenges　from　device　and　demand　variations.　They　first　have　to　be　familiar　with　the　APIs　provided　by　smart　devices　and　then　build　the　program　upon　them　according　to　functional　and　nonfunctional　requirements　of　services.　In　order　to　customize　and　develop　these　services　more　efficiently,　this　study　proposes　an　approach　to　model　and　execute　context-aware　services　at　runtime,　which　introduces　the　knowledge　graph　into　development　process.　First,　concepts　and　relations　of　context-aware　services　are　defined　in　the　concept　model　of　knowledge　map.　Second,　runtime　instances　of　concepts　and　relations　in　knowledge　map　are　used　to　represent　the　knowledge　of　user＇s　context.　Third,　knowledge　reasoning　based　on　the　runtime　knowledge　map　is　implemented　to　perform　device　functions　automatically.　The　proposed　framework　is　evaluated　on　a　prototype　system,　and　the　results　show　that　the　proposed　approach　can　model　and　execute　context-aware　services　at　runtime　and　LOC　(lines　of　code)　is　reduced　by　90%.　©　Copyright　2019,　Institute　of　Software,　the　Chinese　Academy　of　Sciences.　All　rights　reserved.