Information　extraction　(IE)　is　the　problem　of　constructing　a　knowledge　base　from　a　corpus　of　text　documents.　In　recent　years,　uncertain　data　applications　have　grown　in　importance　in　the　large　number　of　real-world　applications,　and　IE　as　an　uncertain　data　source.　This　paper　investigated　the　uncertain　data　represent　and　presented　a　probabilistic　framework　from　IE　model　that　adapting　principles　of　a　state-of-the-art　statistical　model-semi-Conditional　Random　Fields　(semi-CRFs),　which　provides　a　sound　probability　distribution　over　extractions.