Dissertation > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Text Processing

Research and Implementation of Semantic Search System in Printer Operation Based on Ontology

Author LiYiFeng
Tutor JieYongPing
School Dalian University of Technology
Course Communication and Information System
Keywords Equipment operation Noumenon Semantic Query Resource Description Framework SPARQL
CLC TP391.1
Type Master's thesis
Year 2011
Downloads 12
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With the development of science and technology , more and more electronic equipment , and increasingly popular in people's daily lives . Users in the use of electronic devices will encounter a variety of operating and maintenance problems , and how to provide services for users and help users to effectively solve the problem more and more electronic equipment manufacturers and the user's attention . Currently , Web - based network queries to provide users with a convenient and efficient service , online inquiry system provided by equipment manufacturers or free search engines (Google, Baidu , etc.) to query the problems encountered . These queries are based on keywords that match the query , and can not understand the meaning of the user query results are not satisfactory . The goal of this study is the printer device operations background, to build an ontology-based semantic query system , designed to help users by entering the words of non-professional expertise to query the printer . The traditional lack of information query technology , this paper introduces the ontology technology , printer domain knowledge ontology to describe the user query semantic analysis on the semantic level instead of the traditional text matching query . The article mainly use Semantic Web technologies in the body , RDF and SPARQL technology to achieve the semantic query . First, statistical analysis of the characteristics of the printer operator knowledge was constructed query ontology and printer body . Secondly, the in semantic query process , the system mainly uses ontology to semantic analysis of keywords , the query ontology to analyze the semantics of the keywords entered by the user , while taking advantage of the printer ontology the printer domain knowledge expressed in the form of RDF triples , and keyword query into SPARQL query to achieve the purpose of semantic query by formulating rules . Finally, the sorting technique to sort the results obtained in a traditional search engine . The papers 16 printer user manual for the basis construct query ontology ( the definition of the concept of 944 ) and the printer body (within the meaning of the concept of 1642 , RDF triples 3129 ) , a prototype system . By test and analysis system semantic query query accuracy rate of 84.4% , reaching the system design requirements .

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