Visual label topic map-based pilot method of digital library

Abstract

The invention relates to a visual label topic map-based pilot method of a digital library. The visual label topic map-based pilot method includes the steps of 1, defining different topic classes, defining subclasses, namely label topics, under each topic class, and then defining examples of the subclasses; 2, defining association types of the label topics; 3, defining information resource entities, namely bottoms of the label topic maps; 4, creating label topic maps; 5, constructing a semantic network to show semantic associations, allowing the label topic maps to be visual. In this way, recall ratio and precision ratio of information retrieval are increased, and interdisciplinary knowledge sharing and resource location is facilitated.

Description

technical field [0001] The invention relates to the field of digital library information technology, in particular to a navigation method in a digital library based on a visual label theme map. Background technique [0002] Social tagging is a group of information classification methods based on user-defined tags developed based on user tags. In the process of collaborative tagging by users, tags are the core elements. Tags are aggregated to form a tag cloud, which reveals to a certain extent information structure. Social tags are developing into a characteristic application in digital libraries, and the resulting free classification method will be more in line with users' information needs and retrieval habits. However, there are significant limitations in tags: first, users’ choice of tags is based on their views on things, knowledge background, and personal preferences, and different users’ descriptions (tag definitions) of the same resource may be based on different lev...

AI Technical Summary

Problems solved by technology

However, there are significant limitations in tags: first, users’ choice of tags is based on their views on things, knowledge background, and personal preferences, and different users’ descriptions (tag definitions) of the same resource may be based on different levels of granularity; second, users Polysemous words may be used when defining resources, and the semantic ambiguity of tags leads to inconsistencies between tags and resource descriptions; again, different tags with the same meaning (synonyms) or similar meanings cause data redundancy in the tag space and descriptions that lack connections between tags , the entire tag classification structure is a flattened planar structure

However, there are very few researches on applying thematic map technology to the field of digital library to realize the effective organization and integration of resources.

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