Theme map expansion based knowledge resource organizing method

The invention discloses a theme map expansion based knowledge resource organizing method, which is characterized by including: organizing resources to build resource indexes, and providing a search architecture based on themes on the basis of a map architecture formed by knowledge resources and theme incidence relations therein. In the search architecture, themes of documents are organized to be index entry, document collection is divided by combining internal relations of succession, correlation, polysemy of the document themes and multi-label classifying technology, proper partition is selected by a partition selecting method based on threshold value so as to guide building and inquiring of the indexes. During inquiring, inquiry results are acquired from a route to the relevant index partition and are gathered and organized according to the theme relations, and resource utilization rate and inquiring efficiency are improved sufficiently on the premise of guaranteeing quality of the inquiry quality. Further, by the index partition gathering and breaking technology, the index structure is further optimized and quality of the inquiry results and inquiring efficiency are improved.