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General Information
    • ISSN: 2010-3700 (Online)
    • Abbreviated Title: Int. J. Mach. Learn. Comput.
    • Frequency: Bimonthly
    • DOI: 10.18178/IJMLC
    • Editor-in-Chief: Dr. Lin Huang
    • Executive Editor:  Ms. Cherry L. Chen
    • Abstracing/Indexing: Scopus (since 2017), EI (INSPEC, IET), Google Scholar, Crossref, ProQuest, Electronic Journals Library.
    • E-mail: ijmlc@ejournal.net
Dr. Lin Huang
Metropolitan State University of Denver, USA
It's my honor to take on the position of editor in chief of IJMLC. We encourage authors to submit papers concerning any branch of machine learning and computing.

IJMLC 2014 Vol.4(1): 90-93 ISSN: 2010-3700
DOI: 10.7763/IJMLC.2014.V4.392

The Research on Domain-Oriented Information Resource Management and Retrieval

Gao Shaochen
Abstract—All kinds of information repositories now abound. In large-scale information repositories, it’s a very important thing to get the required resource quickly and intelligently. This paper presents a framework of intelligent resource management and retrieval which is based on domain-oriented and natural language processing. A framework is given to indicate how the system is constructed. And many key technologies, which support the system implementation and implementation process, are also described. Finally, the paper introduces operation of real prototype system and discusses future work of the system.

Index Terms—Information resource, domain-oriented, search.

Gao Shaochen is with the Shanghai University of International Business and Economic, Shanghai, 201112 China (e-mail: gaosc@ suibe.edu.cn).


Cite:Gao Shaochen, "The Research on Domain-Oriented Information Resource Management and Retrieval," International Journal of Machine Learning and Computing vol.4, no. 1, pp. 90-93, 2014.

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