Library and Information Service >
Knowledge Fusion: from the Conceptual Understanding to the System Construction
Received date: 2016-04-20
Revised date: 2016-06-21
Online published: 2016-07-05
[Purpose/significance] Knowledge fusion is a concept that has been developing and changing with the technological and social environment, and can be applied in many fields. However, there are different views on the definitionof knowledge fusion. The study on the concept of knowledge fusion will contribute to the development of knowledge fusion research.[Method/process] Through the full investigation and analysis, this article absorbed previous research achievements and views at both theoretical and practical levels. On the one hand, it selected several typical knowledge fusion definitions from different periods and different areas, and extracted three key elements, including "fusion object", "fusion process" and "fusion results". On the other hand, it further clarified the research scope and boundary of knowledge fusion through the analysis of several typical knowledge fusion system architectures.[Result/conclusion] It proposes a relatively complete concept definition. It also decomposes the proposed knowledge fusion concept by the process.
Liu Xiaojuan , Li Guangjian , Hua bolin . Knowledge Fusion: from the Conceptual Understanding to the System Construction[J]. Library and Information Service, 2016 , 60(13) : 13 -19,32 . DOI: 10.13266/j.issn.0252-3116.2016.13.002
[1] 潘震中.数据融合的关键技术[J].指挥控制与仿真,1994(5):16-22.
[2] TAHANI H,KELLER J M.Information fusion in computer vision using the fuzzy integral[J].IEEE transactions on systems man&cybernetics,1990,20(3):733-741.
[3] CAMPBELL W J,CROMP R F.Evolution of an intelligent information fusion system[J].Photogrammetric engineering and remote sensing,1990,56(6):867-870.
[4] 赵杰,崔智社,徐明进,等.信息融合的实质及其核心技术[J].指挥控制与仿真,2003(8):38-42.
[5] HOLSAPPLE C,WHINSTON A.Software tools for knowledge fusion[J].Computer world,1983,17(15):11-18.
[6] PEARLMAN W.Towards a general system for knowledge fusion[J].Kybernetes,1996,25(7-8):135-140.
[7] GRAY P M D,PREECE A,FIDDIAN N J,et al.KRAFT:knowledge fusion from distributed databases and knowledge bases[C]//Proceedings of 8th international workshop on database and expert systems applications.Piscataway:IEEE Press,1997:682-691.
[8] PREECE A,HUI K,GRAY A,et al.The KRAFT architecture for knowledge fusion and transformation[J].Knowledge-based systems,2000,13(2-3):113-120.
[9] 周芳,韩立岩.基于知识融合的公司失败判别方法[J].财会通讯,2015(8):61-63.
[10] 邱均平,余厚强.知识科学视角下国际知识融合研究进展与趋势[J].图书情报工作,2015,59(8):126-132,148.
[11] PREECE A,HUI K,GRAY A,et al.KRAFT:an agent architecture for knowledge fusion[J].International journal of cooperative information systems,2001,10(1-2):171-195.
[12] SMIRNOV A,PASHKIN M,CHILOV N,et al.Multi-agent architecture for knowledge fusion from distributed sources[M].Berlin:Springer,2002:293-302.
[13] SCHERL R,ULERY D L.Technologies for army knowledge fusion[R].Aberdeen:Army Research Laboratory,2004.
[14] 缑锦.知识融合中若干关键技术研究[D].杭州:浙江大学,2005.
[15] 谢能付.基于语义Web技术的知识融合和同步方法研究[D].北京:中国科学院研究生院,2005.
[16] HU X,HU J,SEKHARI A,et al.A fuzzy knowledge fusion framework for terms conflict resolution in concurrent engineering[J].Concurrent engineering,2011,19(1):71-84.
[17] 唐晓波,魏巍.知识融合:大数据时代知识服务的增长点[J].图书馆学研究,2015(5):9-14.
[18] MURRAY K S.KI:A tool for knowledge integration[C]//Proceedings of the thirteenth National Conference on Artificial Intelligence.Menlo Park:AAAI Press,1996:835-842.
[19] 王润生.信息融合[M].北京:科学出版社,2007.
[20] XIE N,WANG W,MA B,et al.Research on an agricultural knowledge fusion method for big data[EB/OL].[2016-01-22].http://datascience.codata.org/article/10.5334/dsj-2015-007/.
[21] WU X,CHEN H,WU G,et al.Knowledge engineering with big data[J].IEEE intelligent systems,2015,30(5):46-55.
[22] SMIRNOV A,LEVASHOVA T,SHILOV N.Context-based knowledge fusion patterns in decision support system for emergency response[C]//Proceedings of the 10th international ISCRAM Conference.Karlsruhe:Karlsruhe Institute of Technology,2013:597-606.
[23] XIE N,WANG W,Ma B,et al.Research on an agricultural knowledge fusion method for big data[J].Data science journal,2015,14(7):1-9.
[24] NOUGHABI H A,KAHANI M,BEHKAMAL B.SemFus:semantic fusion framework based on JDL[C]//Innovations and advances in computer,information,systems sciences,and engineering.New York:Springer,2013:583-594.
[25] GRUBER T R.A translation approach to portable ontology specifications[J].Knowledge acquisition,1993,5(5):199-220.
/
〈 | 〉 |