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Research Progress and Trends of International Knowledge Fusion at the Perspective of Knowledge Science
Received date: 2015-03-20
Revised date: 2015-04-09
Online published: 2015-04-20
[Purpose/significance]The paper summarizes and analyzes the research themes and contents of international knowledge fusion at the perspective of knowledge science, and explores its research trends. Its aim is to provide reference and guidance for LIS discipline to conduct knowledge fusion research and further improve knowledge service and information study.[Method/process]The paper systematically reviews the related literature indexed in WOS from 1990 to 2015, reads, refines and summarizes each paper to conduct topic analysis from four aspects, which are realization approach, evaluation, system and application study.[Result/conclusion]The paper reveals that implementation approaches of knowledge fusion mainly include the ones based on semantic rules, Bayesian networks, D-S theories and knowledge mining; Knowledge fusion evaluation study develops the mechanism of fusion knowledge measures with attributes and self-adapting; Knowledge fusion system study develops the new knowledge fusion systems like KnoFuss based on the classical KRAFT knowledge fusion system; Knowledge fusion application study mainly includes web text oriented, approximate knowledge oriented, company knowledge oriented and web grid environment oriented ones. Trends of knowledge fusion study in the near future are enhancement of architecture, improvement of fusion algorithms, intersection of related disciplines, combination of social background like big data, multi-level, individualized and innovative knowledge service oriented.
Qiu Junping , Yu Houqiang . Research Progress and Trends of International Knowledge Fusion at the Perspective of Knowledge Science[J]. Library and Information Service, 2015 , 59(8) : 126 -132,148 . DOI: 10.13266/j.issn.0252-3116.2015.08.018
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