Dissertation > Excellent graduate degree dissertation topics show

The Research and Implementation of the Technology of Chinese Question Answering System Based on Restricted Domain Ontology

Author: GuoLei
Tutor: CaiZuo
School: East China University of Science and Technology
Course: Applied Computer Technology
Keywords: Question answering Ontology Jena SPARQL
CLC: TP391.3
Type: Master's thesis
Year: 2013
Downloads: 155
Quote: 1
Read: Download Dissertation

Abstract


With the development of Internet technology, information explosion has a great change in people’s lives. Nowadays, people are becoming accustomed to obtain a variety of information on the Internet, which is mainly due to the development of the search engine technology. However, traditional search engines still have some drawbacks. On one hand, Information is only able to be retrieved by keyword, which does not adequately express the intent of users. On the other hand, many candidate answers are returned by search engine and user have to spend some time in finding their targets, in which the user experience is usually not good enough. To solve the problems above, question answering system is raised. Questions expressed in natural language are submitted to automatic question answering system and the answers of the questions are directly returned.First of all, we analyze the technology and theory of current existing question answering systems and expound the advantage and disadvantage of the technology used in the corresponding modules. Secondly, referring to some ontology construction works abroad and following the methodology and experiences of this ontology engineering, we build a small-scale ontology based on retail domain which is used in the retrieval of information in restricted domain knowledge. Thirdly, the answer extraction method of question answering system based on retail domain is raised. Questions expressed in natural language are submitted to the system by users, and then are segmented, eliminated stop words, annotated semantically. Through the step of shallow semantic parsing, the known and unknown information in the question are obtained, on the base of which question vector is generated. Last but not least, we use SPARQL to find the answers to questions from the ontology library. And then the answers are directly returned, which increase the recall rate of the system and improve the user experience. Based on the theory above, we design and implement the question answering system orienting retail domain. Through the application system, the related theory proposed in this paper is verified and the feasibility is also proved.

Related Dissertations

  1. Research of Question Answering System Based on the Analysis of Lexical and Semantic Meanings,TP391.1
  2. The Effect of Instruction for Middle School with Philosophy,G633.6
  3. Murine Peritoneal Macrophages Transcriptional Responses Following in Vivo Infection with Streptococcus Suis Type 2,S858.91
  4. Semantic Retrieval Research Based on Ontology,TP391.3
  5. Lukacs ' ontology of social existence \,B515
  6. Ontology -based Distributed Description Logic Modular Construction Methods,TP391.1
  7. Ontology -based Semantic Web service matching and composition method,TP393.09
  8. WordNet and the \,G254
  9. Latour 's actor-network theory,N02
  10. Russian loanwords localization and deep interpretation,H35
  11. Research on Chinese Children's Songs 1950s and 1960s,J609.2
  12. Design and Implementation of Farmer-Oriented Question Answering System,G353.1
  13. Research on the Patent Map Based on Domain Ontology,TP391.1
  14. Research of the Model of Enterprise Competitive Intelligence Collection System Based on Cross-Language Information Retrieval,TP391.3
  15. An Ontology-based Text Information Extraction Technology and Realized,TP391.1
  16. Research of Text Categorization on Food Complaint Documentation Based on Ontology,TP391.1
  17. Research of Text Clustering on Food Complaint Documents Based on Ontology,TP391.1
  18. Research on Ontology-based Scientific Papers of Chinese Classification,TP391.1
  19. Ontology-Based Hazard Information Extraction from Chinese Food Complaint Documents,TP391.1
  20. Tracking Events for Food Complaint Documents Based on Ontology,TP391.1
  21. Research on Construction of Automobile Domain Ontology Knowledge for Opinion Mining,TP391.1

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