Research of Intelligent Search Engine Based on Multi-Ontology

Shu Dong Zhang; Can Zhang; Jing Wang

doi:10.4028/www.scientific.net/AMM.241-244.1659

Paper Titles

Research on Interactive Visualization Clustering Method Based on the Radar Chart
p.1633

Stressed Speech Recognition Method Based on Difference Subspace Combined with Dynamic Time Warping
p.1640

A Novel Technology in Surveillance Video for Detecting and Forecasting a Robbing Incident
p.1647

Illumination Invariant Face Recognition Using Nonlocal Total Variation in Logarithmic Domain
p.1652

Research of Intelligent Search Engine Based on Multi-Ontology
p.1659

Study on Techniques of Hand Gesture Recognition
p.1664

Access Control System Based on Speech Recognition
p.1668

Optimal State Feedback Control in Operator Domain for Multi-Rate Networked Control Systems with Long Time Delay
p.1672

Study of Speech Emotion Recognition Based on Prosodic Parameters and Facial Expression Features
p.1677

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 241-244Research of Intelligent Search Engine Based on...

Research of Intelligent Search Engine Based on Multi-Ontology

Abstract:

With the development of the Semantic Web, ontology has become the primary means of expression of many fields of knowledge. Introducing the Semantic Web technology into the field of search engine is a valuable research topic. In order to meet the complex semantic retrieval demands, the paper proposes a search engine model based on multi-domain ontology, the model using ontology mapping rewrite the user query to achieve multiple ontology query, and provide a richer and accurate semantic information for the retrieval of cross-domain knowledge; And the paper proposes a method of cross-domain ontology annotation, providing a basis for the user semantic retrieval. The experimental results show that the search results improve the precision and recall rate.

You might also be interested in these eBooks

Industrial Instrumentation and Control Systems

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 241-244)

Pages:

1659-1663

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.241-244.1659

Citation:

Cite this paper

Online since:

December 2012

Authors:

Shu Dong Zhang, Can Zhang, Jing Wang

Keywords:

Domain Ontology, Search Engine, Semantic Web

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] S.A. McIlraith, T.C. Son, H. zeng. Semantic web service. IEEE Intelligent systems, 2001. 16(3): pp.46-53.

DOI: 10.1109/5254.920599

Google Scholar

[2] W．Bruce Croft，Donald Metzler，Trevor Strohman. Search Engines Information Retrieval in Practice [M]. Beijing: China Machine Press，2010: 3－5.

Google Scholar

[3] Tim Berners-Lee, J. Hendler, O. Lassila. The Semantic Web [J]. Scientific American, 2001, 284(5): 34-43.

DOI: 10.1038/scientificamerican0501-34

Google Scholar

[4] Staab S, Madche A, Handschuh S. An Annotation Framework for the Semantic Web. SIshizaki. Proceedings of the First International Workshop on multi Media Annotation[C], Tokyo, Japan, 2001. 30231.

Google Scholar

[5] Jose Kahan, Marja-Riitta Koivunen, Eric Prud Hommeaux. Annotea: An Open RDF Infrastructure for Shared Web Annotations. In Proceedings of the Tenth International World Wide Web Conference[C], Hong Kong, China, May, 2001. pp.623-632.

DOI: 10.1145/371920.372166

Google Scholar