目前電腦不具有人的認知、感知能力，不具備人的知識體系，以之用於文學研究與教學，有所不足。本研究以兼顧詩詞文本內容及詩詞語言特性、語義學為前提，以詞彙為單位，建立語義標記資料庫，參考前人分類，建構四個層級的詩詞語義概念分類知識庫。最上一層分為人、事、時、地、物、其他等六大類，大類之下再分為50中類，368小類，小類之下，以控制詞彙統攝同一小類之近義詞。詩詞語言概念分類知識庫，能使電腦從分辨字形的檢索，轉為以語義概念檢索，提高查詢正確率；從索引式的搜尋轉為更符合人類大腦以思維聯繫尋找資料的模式，使之更接近人的知識體系，也能滿足文學研究與教學的需要。

Current computer systems have not yet worked in exact accordance with human cognition, perception, and knowledge organization. The gap between computer language and the human cognitive network becomes particularly apparent when computer systems are applied to literary research and education. In view of such subtle incompatibility, this study attempts to enhance a more cooperative application of computer systems to the literary field by establishing a semantic lexical database on the bases of textual contexts, linguistic characteristics, and semantics of Chinese poetry. In reference to conventional classifications, this semantic lexical database consists of four layers of semantic properties. The top layer is divided into 6 categories, including people, event, time, place, object, and others. The second layer is divided into 50 categories. The third layer has 368 subclasses. The fourth layer is composed of synonyms of individual subclasses. The design of this semantic lexical database improves the functionality of computer search engine as its operation shifts from information retrieval according to forms of characters to retrieval in terms of meanings of vocabulary items. This way of operation produces search results in a more precise manner that may meet the user’s demands for resources of specific themes. The enhancement of computer systems enables the search engine to function according to thinking modes of human brain and as a result constructs a structure similar to the human knowledge system. This advance may facilitate a more congruent application of computer systems to research and education in the field of literature.