Dissertation > Excellent graduate degree dissertation topics show

Topic Chain-based Topic Information Extraction from Chinese Food Complaint Documents

Author: TianZuoZuo
Tutor: YangXiQuan
School: Northeast Normal University
Course: Computer Software and Theory
Keywords: Topic chain Domain ontology Similarity computing Topic Information Extraction
CLC: TP391.1
Type: Master's thesis
Year: 2012
Downloads: 28
Quote: 0
Read: Download Dissertation

Abstract


In recent years, there are so many food safety incidents appearing in public. For instance,“The melamine” and “Clenbuterol”. This pushes food safety issues to another high level. Notonly Food safety issues are related to our health, but also the stability of our country. Thosefrequently happening events take a significant damage to the people and economy of thecountry. In the same time, they also decrease the confidence of consumers to the product andmarket, even the country.Since hidden dagger exists in food and the government also encourages consumers to sueby the public website, there are a mass of files about suing on food. If we can explore amethod to settle and extract those files, it will provide an effect of warning to food safetyissues.Topic chain-based topic information extraction from Chinese food complaintdocuments,can make food security information management generalized and intelligentized.The traditional information extraction just extracts individual word or single information. Inthis paper, however, we introduce the Domain ontology to guide the extraction of Chinesefood complaint documents by the form of topic chain. This method can extract the dangeroustopic. Moreover, it can clarify the topics and make the extraction more intuitive.Four basic module consisting of this paper, there sequentially are “pretreatment module”,“dynamically allocating windows module”,“extracting topic chain module” and “semanticsclarifying module”. Those four modules cooperate to finish our work,“pretreatmentmodule” parse the domain ontology of food domain and build the knowledge base;“dynamically allocating windows module” firstly analyze the attributes of the words resultingfrom pretreatment, then dynamically allocating windows by those attributes and store therelated information;“extracting topic chain module” remove the repeated ones in theextracted words related to topics and integrate the results, then extracts the first topic chainand second topic chain representing topic information;“semantics clarifying module”automatically clarifies the Chinese food complaint documents according to the dangeroustopic, which is obtained by topic chain. By our method, consumers can obtain the hot topicsin suing files intuitively. On the other hand, it is convenient for supervision department tosupervise.

Related Dissertations

  1. Research on the Patent Map Based on Domain Ontology,TP391.1
  2. Research of Text Categorization on Food Complaint Documentation Based on Ontology,TP391.1
  3. Study on Discovering the Relationships among Data Resources in DataSpace,TP311.13
  4. Study on Requirement Group-based Web Service Scheduling Model,TP393.09
  5. Deep Web Interface Discovery Based on Domain Knowledge,TP393.09
  6. Semi-supervised BLOG Information Extraction Techniques Based on Document Structure,TP393.092
  7. Research on Construct of Domain Ontology Based on Hierarchical Demand and Method of Semantic Annotation,TP391.1
  8. Semantic Description and Annotation for Business Services,TP311.52
  9. The Research and Application of Content-based Semantic Extraction Software for Videos,TP391.41
  10. Research on Courseware Automatic Generation Based on Domain Ontology,TP317.4
  11. Research on Ontology-Based Knowledge Representation and Information Retrieval,G354.4
  12. Research on Text Information Retrieval Based on Domain Ontology to Expand Query Requirements,TP391.3
  13. The Semantic Information Retrieval Research Based on Multilayer Vector Space Model,TP391.3
  14. Focusing Technology of Deep Web Data Source Based on Domain Ontology,TP393.09
  15. Query Results Dealing Technology of Deep Web Based on Ontology and Conceptual Schema,TP393.09
  16. The Research of Deep Web Uncertain Schema Matching Based on Domain Ontology,TP393.09
  17. Research on Semantic Retrieval Based on Domain Ontology,TP391.3
  18. Research of Web Semantic Information Retrieval Based on Domain-Ontology,TP391.3
  19. Research on Key Technologies of Quantitative of Internet Product Reviews,TP391.1
  20. Design and Implementation of the Logistics Ontology Management System,TP311.52
  21. Semi-automatic construction method of FCA and Jena - based domain ontology,TP391.1

CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Text Processing
© 2012 www.DissertationTopic.Net  Mobile