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Research on Intelligent Retrieval Model of Foodstuff Trade Information Base on Ontology

Author: LiuRenNing
Tutor: LiYuSheng
School: Wuhan Polytechnic University
Course: Mechanical Design and Theory
Keywords: Ontology Intelligent Information Retrieval Similarity
CLC: S126
Type: Master's thesis
Year: 2009
Downloads: 64
Quote: 0
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Abstract


With the advent of the agricultural information era , the increasingly rapid growth of the grain trading information resources , due to the vast amount of information generated from different sources and different formats , different application environments , traditional information retrieval techniques face enormous challenges . The fundamental reason is the lack of semantic information for the exchange and sharing of data , in order to deal with this problem is bound to enhance the semantic representation of information resources , including the content of the information resources of the meaning and function of the ability to describe the information resources can be understood by machines to meet the the efficient retrieval needs of agricultural users , in order to achieve the intelligent retrieval of information . For building to make semantic reasoning based on Ontology intelligent information retrieval system must first establish the related domain ontology library , add the information resources in the field of semantic information , and then need to retrieve information , thereby improving the ability to retrieve the hidden information . Involved in grain trading for Intelligent Information Retrieval Model Based on Ontology Semantic Web Ontology background . In the analysis , compare ontology construction method based on the following general principles of ontology construction , the comprehensive ontology construction method has the advantage , with reference to the quality management standard PDCA ring thinking and software engineering methods , a new domain ontology building model - cycle evolutionary prototype ontology construction method . Based Ontology grain trading information intelligent retrieval test system ( IntelligentRetrievalofFoodstuffTradeInformationtestsystem , referred to as IRFTI test system ) to build the key methods , including the proposed architecture of intelligent information retrieval model , the reasoning mechanism , similar to the concept of computational analysis . and improvements , and user query vocabulary semantic information query matching and semantic expansion . Using the above - mentioned related art , to achieve IRFTI test system . Proved by experiments in the test environment , and based on keyword matching retrieval comparison can be retrieved more effective , there are certain practical value .

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CLC: > Agricultural Sciences > Agriculture as the foundation of science > Agricultural physics > Electronic technology, computer technology in agriculture
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