Construction of Multidimensional Dynamic Knowledge Map Based on Knowledge Requirements and Knowledge Connection

Lv, Yanjie; Zhao, Gang; Miao, Pu; Guan, Yunqing

doi:10.1007/978-3-642-54930-4_9

Cited by 2 publications

(1 citation statement)

References 5 publications

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“…A knowledge map, which organizes scattered knowledge artifacts and presents them visually in meaningful categorizations, can expressively, efficiently and effectively facilitate user browsing, navigating and understanding knowledge artifacts in a large knowledge space (Brookes, 1980; Lv et al , 2016; Yoon et al , 2010). Knowledge maps have been widely investigated in practice, as well as in research, in centralized knowledge management (Chiu and Pan, 2014; Kim et al , 2003; Lin et al , 2006; Lv et al , 2014; Wu et al , 2017). However, the existing centralized knowledge maps are not completely suitable for the P2P environment.…”

Section: Introductionmentioning

confidence: 99%

Construction of personal knowledge maps for a peer-to-peer information-sharing environment

Qin

Zhao

Mou

et al. 2018

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Purpose Browsing knowledge documents in a peer-to-peer (P2P) environment is difficult because knowledge documents in such an environment are large in quantity and distributed over different peers who organize the documents according to their own views. This paper aims to propose a method for constructing a personal knowledge map for a peer to facilitate knowledge browsing and alleviate information overload in P2P environments. Design/methodology/approach The research presents a method for constructing a personal knowledge map. The method adopts an ontology-concept-tree-based classification algorithm to recognize a peer’s personal knowledge structure and construct a personal knowledge map, and uses a self-organizing map algorithm to cluster and visualize the knowledge documents. The correctness of the created knowledge map is evaluated with a collection of abstracts of academic papers. Findings The method for constructing a personal knowledge map is the main finding of this research. The evaluation shows that the created knowledge map is good in quality. Research limitations/implications The proposed method provides a way for P2P platforms to understand their users’ knowledge background, as well as to improve the P2P platform environment. However, the proposed method will not help a peer when he has nothing in his individual knowledge document repository (i.e. the “cold start” problem). The method also requires a relatively good ontology base for a P2P document sharing system to use the method effectively. Originality/value It is novel that the proposed method organizes the knowledge documents related to a peer’s knowledge background into a personal knowledge map. Moreover, the created knowledge map combines the advantages of a hierarchical display and a map display. It has values for a distributed P2P environment to facilitate users’ knowledge browsing and to alleviate information overload.

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