Dissertation > Excellent graduate degree dissertation topics show

Research on Key Techniques for AIE-based Semiautomatic Annotation of Web Page

Author: ZhuHaiXia
Tutor: XuZhuoMing
School: Hohai University
Course: Applied Computer Technology
Keywords: Semantic annotation Adaptive Information Extraction Noumenon OWL Semantic Web
CLC: TP393.092
Type: Master's thesis
Year: 2005
Downloads: 100
Quote: 1
Read: Download Dissertation

Abstract


The key is to achieve the vision of the Semantic Web to create ontologies and semantic annotation using the the ontology vocabulary of Web content . Annotation tools , integrated information extraction (IE) technology , can greatly improve the degree of automation of the semantic annotation tools to reduce the burden on users . Adaptive IE system (AIE) using machine learning , information extraction rules automatically learning from the training data to apply to new applications and areas , this is the demand of the Semantic Web environment . This paper analyzes the technical characteristics of the existing integration AIE semantic annotation tools , and pointed out that their two main shortcomings : does not support the W3C standard Web Ontology Language OWL and the function of the IE simpler . Based on this proposed framework based AIE Web page semi-automatic annotation tool which supports OWL Lite ontology languages ??, with the adaptive information extraction system Amilcale automatic information extraction capabilities , the semi-automatic semantic annotation of Web pages . For more than two shortcomings of the existing semantic annotation tools in the framework of this article annotation tools , select the two key technologies in-depth study : ① semi-automatic based on the the Amilcare use active learning methods to extract facts to be marked technical ; ② using extracted fact produce the technology of the OWL Lite semantic metadata to be marked . In this paper, the in-depth study of the Amilcare its application programming interface (API) , proposed in the semi-automatic annotation tool based on the Amilcare active learning , semi-automatic extraction of the methods and processes of the facts to be marked , given the appropriate design and implementation techniques ; Web page semantic metadata the due structure and use the extract to be described on the basis of the analysis of the summary constructor and constraints of OWL Lite language , label the fact generate semantic metadata design ideas and implementation techniques . Case studies and experiments show that : the technical solutions proposed in this paper is reasonable and feasible .

Related Dissertations

  1. An Approach for Business Process Oriented Service Dynamic Composition,TP393.09
  2. Semantic Retrieval Research Based on Ontology,TP391.3
  3. Research on Mapping Relational Database to RDF (S),TP311.13
  4. Research on Semantic-Based Web Service Discovery,TP393.09
  5. Applied Research of Ontology in Intelligent Residence Community,TP391.1
  6. Research and Implementation on Sns-based Fine-grained Annotation of Educational Video,TP391.6
  7. Research on Semantic-based Inspection of Construction Engineering Quality,TP391.1
  8. Ontology-based prescription recommend system model and application,TP391.3
  9. Large Scale Fuzzy RDF Reasoning Engine,TP181
  10. Image semantic annotation of blocks - a global feature extraction method,TP391.41
  11. Automatically build the Semantic Web research in syntactic analysis,TP391.1
  12. Human motion sequence data semantic analysis method,TP391.1
  13. Research and Implementation of Semantic Search System in Printer Operation Based on Ontology,TP391.1
  14. Research and Implementation of Knowledge Organization and Retrieval Based on Ontology,TP391.1
  15. Study on Extraction and Storage of OWL Ontology Based on Relational Database,TP391.1
  16. Research on the Matchmaking of Web Services Based on Semantics,TP393.09
  17. Research for Personalized Web Service Selection Mechanism Based on Multi-layer QoS Ontology,TP391.1
  18. AraOntoLT: A Framework for Ontology Learning from Arabic Text,TP391.1
  19. Semantic Web Based Equipment Knowledge Management,TP391.1
  20. Ontology Based Approach to Fine-Granularity Knowledge Management,TP391.1
  21. Research on Information Retrieval Technology Based on Semantic Web,TP391.3

CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Computer network > General issues > The application of computer network > Web browser
© 2012 www.DissertationTopic.Net  Mobile