Dissertation > Excellent graduate degree dissertation topics show

Research on Semi-Automatic Constructs Virtual Cells Ontology Method

Author: ZhangEnHui
Tutor: WangKuanQuan
School: Harbin Institute of Technology
Course: Computer Science and Technology
Keywords: ontology virtual cell myocardial cell electrophysiology natural language processing
CLC: Q811
Type: Master's thesis
Year: 2009
Downloads: 29
Quote: 0
Read: Download Dissertation

Abstract


With the development of life sciences (e.g. genomics, molecular biology), and improvement of computer power, computational biology quietly rising. A large number of mathematical models, which descript living activities of species are established recently. These models are applied in biological study and enrich the means of lives research and significantly promote life sciences research.In the field of computational biology, virtual myocardial cell modeling is a representative and hot research target. At present, a variety of computing models, from small animals to large animals and from rhythmic cells to excitable cells, are established. These models are great helpful to understanding of the heart physiological phenomenon and provide a powerful tool for the physiological, pathological, and pharmacological research. However, different research groups according to their specific research needs, use different programming languages to establish their own independent calculational models of cells, myocardical cell computing models are not standardized and uniform, and difficult to share for other research teams, this means the calculational models of myocardical cells are not portable and reusable. This obstacles the wide-ranging exchange and application of myocardical cell computing models, and it is not conducive to tissue level and organ level study. Therefore, we must establish a unified and standardized expression for the virtual myocardial cells. However, ontology can normatively descript of concepts and the relationship between concepts. Through the use of ontology, people can reach the common recognition and get the clear definition of knowledge, so solves the problems of information sharing and reusing.In this paper, it presents a semi-automatic constructing virtual myocardial cells ontology method which is based on natural language processing technology. The main outlines of the research are illustrated as the followings:(1)To analyze features and rules of virtual myocardial cell terms, it provides a virtual myocardical cell domain term extraction method, which is based on intergrating maximum entropy with statistical-based and rules-based approaches. After manual evaluation, the method can effectively extract domain terms of virtual myocardial cell.(2)To analyze the relations between the virtual myocardial cell terms, glossary composition rules-based and syntactic pattern-based approachs are used to extract the taxonomies between terms, fuzzy integrates with frequence method are employed to extract the non-taxonomies of terms. These methods can extract the predominant relations between virtual myocardial cell tems.(3)According to domain experts’knowledge, a virtual myocardical cell domain ontology is artificially constructed with combinating with extracted terms and relations and using the Protégéontology construction tool.(4)Based on the constructed ontology to extract information from virtual myocardical cell domain documents, a virtual myocardial cell is built via the Ontology-based Cell Model Construct Editor, which is described in XML format. The XML description can automatically generate virtual myocardial cell executed code.

Related Dissertations

  1. Word Sense Disambiguation Corpus Automatic Acquisition,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. Ontology -based Distributed Description Logic Modular Construction Methods,TP391.1
  5. Ontology -based Semantic Web service matching and composition method,TP393.09
  6. The Research for Strategy of Enterprise-level Software Components Quality Assurance and Rapid Deployment,TP311.53
  7. Adaptive semantic ontology heterogeneous data integration framework,TP311.52
  8. Trustworthy Software Evolution Based on "environment- Behavior" Ontology Model,TP311.52
  9. Research on the Construction of a Nlp-oriented Chinese Sentence Semantic Knowledge Database,H13
  10. A Research on Context-Based Ontology-Matching Algorithm,TP391.1
  11. Study on Lukacs’ Social Existence Ontology,B089
  12. Research on the Key Technique of Semantic Web-based Teaching Resources Management System,TP311.52
  13. Semantic Retrieval Research Based on Ontology,TP391.3
  14. Research on Event-oriented Multi-document Automatic Summarization,TP391.1
  15. Study on Curriculum Resource Management Based on Ontology,TP311.52
  16. Research and Implementation of Requirement Analysis System Based on Magic Platform,TP311.52
  17. A Unified Method of Heterogeneous Data Resources in Network Environment,TP391.3
  18. Research of Ontology-Based Logistics Information System Integration Method,TP311.52
  19. Semi-supervised BLOG Information Extraction Techniques Based on Document Structure,TP393.092
  20. Research and Realization of Web Service Matching Mechanism Based on Ontology,TP393.09
  21. Study and Application on a Meta-information Management Mechanism in Service Grid,TP393.09

CLC: > Biological Sciences > Bioengineering ( Biotechnology ) > Bionics
© 2012 www.DissertationTopic.Net  Mobile