Ontology-based knowledge map drawing system

Abstract

The invention discloses an ontology-based knowledge map drawing system which comprises an ontology knowledge base, a knowledge map representation layer and a knowledge map management layer, wherein the ontology knowledge base is used for storing general knowledge and the relation between the knowledge; the knowledge map representation layer is connected with the ontology knowledge base and used for replacing specific knowledge concepts in the knowledge base with more abstract knowledge nodes and introducing compound operation for knowledge correlations; and the knowledge map management layer is connected with the knowledge map representation layer and used for managing the definitions of associations between the abstract knowledge nodes and complex knowledge, storing the definitions in anindependent database and receiving a knowledge map generation request so as to realize the dynamic creation of knowledge maps. The system disclosed by the invention needs to take the graph structure of ontology data as a basic data structure, meets the creation requests of various different knowledge maps through carrying out abstract representation on the knowledge concepts and knowledge associations, and outputs the abstract representation to a knowledge map display system in an XML (extensive makeup language) form.

Description

technical field [0001] The present invention relates to a device in the field of computer application, in particular to an ontology-based knowledge map drawing system. Background technique [0002] The knowledge map is a reasonable integration of information and knowledge in the knowledge base, which can not only show rich knowledge resources, but also show the types, characteristics and interrelationships of relevant knowledge resources inside or outside the organization. The knowledge map is conducive to the repeated use of knowledge, reduces redundancy, and improves the effect of knowledge retrieval; it can discover "knowledge islands" and establish relevant connections, which is conducive to knowledge sharing and knowledge learning. [0003] After searching the prior art, it was found that "Newsmap: A knowledge map for online news" by T.-H.Ong, H.Chen, W-k.Sung and B.Zhu et al. ("Newsmap: A knowledge map for online news", Decision Support Systems, vol 39, pp.583-597, Ap...

AI Technical Summary

Problems solved by technology

The disadvantage is that there is still a lack of high-level classification, and the display is not flexible enough

[0004] The paper "Knowledge map for tourist destinations-needs and implications" by Sungsoo Pyo ("Knowledge map for tourist destinations-needs and implications", Tourism Management 26, pp.583-594, 2005) discloses knowledge maps of different tourist destinations , the advantage of this technology is to build different knowledge map models according to different destination types. The disadvantage is that there is still a lack of detailed research on the detailed content of tourist destinations and the relationship between them.

[0005] Duen-Ren Liu, Chih-Kun Ke, Jia-Yuan Lee, Chun-Feng Lee et al. "Knowledge maps for composite e-services: A system platform based on the coupling of mining and suggestion" ("Knowledge maps for composite e-services : Amining-based system platform coupling with recommendations", Expert Systems with Applications 34, pp.700-716, 2008) discloses a knowledge model extracted from the use records of composite electronic services, supplemented by data mining technology to build a knowledge map The technology, the advantage of this technology is coupled with the suggestion system and has the function of collaborative filtering. The disadvantage is that the experimental data is generated by simulation, and the effectiveness needs to be tested in practice.

[0006] These knowledge maps also have the following problems: it is necessary to extract a specific aspect of information from a larger or more complex knowledge base, which may be a set of documents or a relational database; It is very inefficient to re-collect and mine the necessary information when making a map

Since in most cases there is not enough information to directly construct the required knowledge map from the knowledge base, each construction of a dedicated knowledge map often requires the establishment of its unique database structure, which not only increases data redundancy, but also improves Reduce the risk of data inconsistency and maintenance costs

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