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Journal of Applied Sciences
  Year: 2013 | Volume: 13 | Issue: 12 | Page No.: 2276-2281
DOI: 10.3923/jas.2013.2276.2281
 
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On Semantic Retrieval Oriented to Ietm Software
Li Kairong, Song Heng, Zhu Junwu, Chang Baoxian and Li Xining

Abstract:
Complex system is equipped with large-scale technical data, which can implement the task of the operation maintenance, repair of equipment and so on. With the increasing amount and complexity of the technical information, the accuracy and efficiency of knowledge retrieval with positioning has decreased significantly. This study presents an interactive electronic technical manual method of creation and implementation which based on semantic retrieval, starts from the image semantic annotation and the RDF cutting of text and then realizes the semantic retrieval of image and text. This study created the knowledge base about the instructions for use of Samsung Galaxy III, taking C# language as the development language, Visual Studio as integrated development environment, SQL Server as database in implementing the semantic retrieval. Compared with current searching for relevant information manually, the system’s efficiency and accuracy of knowledge retrieval has improved greatly. Finally, some processes are presented in the software engineering, such as the demand for knowledge retrieval system analysis, algorithm design, coding, testing and maintenance.
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How to cite this article:

Li Kairong, Song Heng, Zhu Junwu, Chang Baoxian and Li Xining, 2013. On Semantic Retrieval Oriented to Ietm Software. Journal of Applied Sciences, 13: 2276-2281.

DOI: 10.3923/jas.2013.2276.2281

URL: https://scialert.net/abstract/?doi=jas.2013.2276.2281

 
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