Theme map expansion based knowledge resource organizing method

Abstract

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.

Description

technical field [0001] The invention relates to the organization and retrieval technology of knowledge resources in the field of education, in particular to a knowledge resource organization method for subject relationship representation, subject partition index structure and construction, and index partition optimization. Background technique [0002] The organization and query of massive educational resources is a necessary resource service for most learners and the network learning environment, and the issues involved are still the focus of research and attention in the industry. According to the rapid expansion of data in the current education field and the obvious needs of users for resource context information, this invention proposes a resource association representation method based on an extended topic graph structure and a distributed topic partition index method. Based on the inheritance of the relationship between topics, the resource index is partitioned, which ...

AI Technical Summary

Problems solved by technology

Its disadvantages are: the keywords used cannot well summarize the content of the document, and the internal relationship between the text topics and the differences between them are not considered

Its disadvantages are: each query retrieval is routed to all partitions, which has great blindness, wastes resources, and at the same time makes the efficiency of a large number of retrievals inefficient

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