Research Of IETM Information Pieces Retrieval Technology Based On The SLAC

With the rapid development of computer information at this stage, a number of large,complex weapons and equipments can not use the pattern technical information manual todescribe their information well. The emergence of IETM could solve this problem, whichreplaces the traditional pattern technical information, converts to electronic forms ofinformation shows to the users, and can achieve human-computer interaction.It can bemanaged and maintained more conveniently. IETM production should have correspondingstandards to regulate. S1000D is a popular international standard, it is jointly developed byASD and AIA, it uses the modular form to manage the technical information of IETM., andcan increase the sharing of technical information. Like any system, information retrieval is animportant function. In the environment of IETM, the users can input keywords, quickly accessto useful informations. This paper, according to the existing shortcomings of technicalinformation retrieval functions, designs a kind of IETM information pieces retrieval modelbased on SLCA.Firstly, this paper studies and analyzes many domestic and foreign mature professionalIETM platforms, finds in IETM technology information retrieval process accord S1000Dstandard has two problems, first of all, retrieval process needs to scan the whole data module,reduces retrieve efficiency; Secondly retrieve results can not position to specific informationpieces. To solve the above problems, this paper designs a kind of IETM information piecesretrieval model based on SLCA. In this paper the design model,introduces the idea of themost compact fragment in XML keyword search. In the case of the users input severalkeywords, the problem is transformed into the problem of solving the SLCA nodemulti-keywords. Through analysed existing SLCA node solution algorithm, improves theDewey encoding mode in XML document, designs a HS-D encoding, and greatly reduces thecoding length. According to this encoding mode, this paper puts forward a new SLCAsolution algorithm. In order to make the finally returned to the users information pieces moreprecisely and more meaningfully. This model joins the Element Extraction module, fordifferent elements make different extracting rules. And Technical Information Simplifymodule, filters out the meaningless elements and attributes in the retrieval process,toimproves the retrieval rate. In the end of this paper, a descriptive data modules for specific example, to demonstrated the specific workflow of the entire model.The results show that thismodel can return meaningful information pieces to the users quickly and accurately.