The Design And Realization Of Mudan Wisdom Park Consumer Electronics Semantic Query System

Beijing Peony Electronics Group follow the Government's 13 th Five-Year Development Plan, established the construction of Wisdom park?cloud platform & Group transformation. Organized the top design module as Data?Search?Social?Service?Display?Payoff. In the top-design module of Search, we focus on the consumer electronics inquire can be achieved in our Wisdom park.These years, consumer electronics growing fast, the customer get more info of the products and also lots of additional info. Due to the heterogeneity?volatility & non-semantic of info on the Internet, the customers hard to get the info what they want. The Distributors are also facing the problem of dissemination of information and product definition. Meanwhile, consumer electronics product promotion websites based consumer electronics title searches, has been unable to effectively retrieve the product information you need. Even if the word technology is perfect, but based on the keyword search is still not well understood computers sentence semantic info. Therefor we use semantic query technology to develop Peony Wisdom park consumer electronics inquiry system. Search engines work is no longer limited to a user entered the literal meaning of the statement, but also look beyond the surface, to accurately capture the essence of the user entered the intent behind the statement, and feedback to user a most relevant results.This paper has analyzed the consumption prospect and system requirements of consumer electronics, and based on the theoretical basis of semantic query, we proposed consumer electronics knowledge mapping. Which include the core concepts, terminology and knowledge in the field of consumer electronics. Based on the consumer electronics knowledge mapping, for keyword semantic extensions to enrich the query results, to improve the search results of the recall; secondly using RDF to describe resources in a structured XML data as a basis for RDF, more accurate understanding of the meaning of the user query data to improve precision of search results; finally as a basis for design and implementation of the Peony Wisdom park consumer electronics semantic query systems, consumer electronics products reached retrieval recall and precision.