Data　visualization　is　an　essential　method　for　analyzing　big　data.　Regarding　the　increasing　demands　on　data　visualization　generation　and　understanding,　more　professional　knowledge　and　skills　are　required,　which　are　difficult　to　meet　in　practice.　In　most　cases,　people　visualize　data　using　existing　templates　which　might　not　fit　their　requirements.　We　believe　that　it　is　essential　to　establish　the　connections　between　users＇　visualization　requirements　and　visualization　solutions.　In　this　paper,　we　propose　a　four-layer　visualization　framework　to　systematically　and　automatically　map　user　requirements　to　data　visualization　solutions.　Specifically,　the　framework　is　designed　based　on　typical　visual　features　and　attributes　and　establishes　mappings　based　on　their　semantics.　Based　on　this　framework,　we　have　implemented　a　web-based　prototype,　which　can　automate　the　generation　of　visualization　solutions　from　user　visualization　requirements.　To　evaluate　the　framework,　we　conducted　a　case　study　with　one　participant　using　the　developed　prototype　and　received　positive　feedback　and　suggestions.