How　to　understand　the　innovation　pathways　of　emerging　technologies　emerge　from　technology　to　market　and　identifing　the　future　changes　and　trends　in　innovation　pathways　is　crucial　for　enterprises＇　research　and　development　(R&D)　strategic　planning,　and　new　production　development　decision　making.　The　technology　roadmapping　(TRM)　is　considered　as　an　effective　method　to　study　innovation　pathways,　and　provides　a　structured　approach　to　map　how　emerging　technologies　have　evolved　from　technology　to　market,　and　visualize　the　development　relationships　among　markets,　products,　and　technologies.　However,　the　traditional　TRM　methods　to　visualize　the　innovation　pathways,　and　identify　the　relationships　among　markets,　products,　and　technologies　mainly　relied　on　experts＇　opinions,　which　are　considered　as　time　consuming　and　costly.　The　technology-relationship-technology　(TRT)　semantic　analysis　can　semiautomatically　extract　technology　information　and　the　relationships　among　products,　functions,　and　technologies　from　patents,　which　can　significantly　reduce　the　bias　due　to　using　experts＇　opinions　that　are　based　on　intuitive　knowledge　when　roadmapping　the　innovation　pathways　from　technology　to　market　activities.　Therefore,　this　article　integrates　TRT　semantic　analysis　and　TRM　method　to　propose　a　framework　for　monitoring　the　innovation　pathways　of　emerging　technologies　and　identifying　future　changes　and　trends　in　innovation　pathways　of　emerging　technologies.　In　this　framework,　first,　we　use　the　TRT　semantic　analysis　to　extract　the　TRT　structures　containing　various　structural　relationships　from　the　patents,　and　determine　the　analytical　dimensions　of　TRM　based　on　the　TRT　structures＇　characteristics　and　experts＇　knowledge.　Second,　we　analyze　the　various　structural　relationships　in-depth　to　explore　their　particular　contributions　in　the　process　of　TRM　construction,　and　construct　the　technology　roadmap　to　monitor　the　innovation　pathways.　Finally,　after　completing　the　construction　of　the　TRT-based　technology　roadmap,　we　in-depth　analyze　the　technology,　function,　product　evolution　paths　in　the　TRM　to　identify　the　future　changes　and　trends　in　innovation　pathways　with　the　help　of　domain　experts.　To　illustrate　the　implementation　of　the　research　framework,　we　employ　the　elderly　smart　wear　technology　as　the　case　study.　This　article　will　contribute　to　the　TRM　methodology,　and　will　be　of　interest　to　elderly　smart　wear　technology　R&D　experts　and　new　production　development　experts.