WEB IMAGE SEARCH BASED ON ONTOLOGY-ORIENTED HYBRID MODEL

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

NAMAZI MOHAMMAD; Mirzaie Kamal

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Seminar Paper

Paper Information

Seminar: INTERNATIONAL CONFERENCE ON WEB RESEARCH
Year:2018 | Issue:4

Download Full-Text

View:

217

Download:

Information Seminar Paper

Title

WEB IMAGE SEARCH BASED ON ONTOLOGY-ORIENTED HYBRID MODEL

Author(s)

NAMAZI MOHAMMAD | Mirzaie Kamal

Keywords

TEXT BASED IMAGE RETRIEVAL

SEMANTIC WEB

WORDNET

K-MEANS ALGORITHM

Abstract

ON THE INTERNET, SEARCH ENGINES CAN RETRIEVE IMAGES WITH OPTIMUM PRECISION AND SPEED BY SEARCHING THROUGH TEXT AND WEB PAGES. IN THE IMAGE RETRIEVAL SYSTEMS, TEXT BASED IMAGE RETRIEVAL (TBIR) APPROACH (KEYWORDS), CONTENT BASED IMAGE RETRIEVAL (CBIR) AND THE COMBINATION OF THOSE APPROACHES HAVE BEEN APPLIED. IT IS WORTH NOTING THE APPLICATION OF KEYBOARDS ARE USER-FRIENDLY AND HENCE MANY RESEARCHERS PREFER TO USE THEM IN RETRIEVAL PROBLEMS. AS EXPECTATION, SUITABLE KEYWORDS WHICH ARE MUCH MORE RELATED TO IMAGE TITLES ARE VERY IMPORTANT IN RETRIEVING IMAGES. IN THIS PAPER, BASED ON WORDNET, A MODEL IS PROPOSED TO RETRIEVE TEXT-BASED IMAGE RECOGNITION ACCURACY AND THEN THE PROPOSED APPROACH HAS BEEN USED FOR CLUSTERING (I.E. K-MEANS ALGORITHM). THE SEMANTIC WEB IS RELATED TO RELATIONS AND THE DISCOVERY OF MEANINGS AND ATTEMPTS TO DISCOVER THE PATTERNS OF THE CLASS AND THE MEANINGS OF WORDS. WORDNET HAS A VARIETY OF SEMANTIC RELATIONSHIPS WITH CONCEPTS, THEREFORE IT IS POSSIBLE TO RETRIEVE FILE INFORMATION IN THE BEST WAY. WE APPLIED THE PROPOSED MODEL ON THE UIUC DATA. THE RESULTS INDICATED THE HIGH PERFORMANCE OF THE PROPOSED MODEL IN EVALUATING THE ACCURACY OF DETECTION OF TBIR CLUSTERING (>90% OVERALL ACCURACY).

Cites

No record.

References

No record.

Cite

APA: Copy

NAMAZI, MOHAMMAD, & Mirzaie, Kamal. (2018). WEB IMAGE SEARCH BASED ON ONTOLOGY-ORIENTED HYBRID MODEL. INTERNATIONAL CONFERENCE ON WEB RESEARCH. SID. https://sid.ir/paper/948837/en

Vancouver: Copy

NAMAZI MOHAMMAD, Mirzaie Kamal. WEB IMAGE SEARCH BASED ON ONTOLOGY-ORIENTED HYBRID MODEL. 2018. Available from: https://sid.ir/paper/948837/en

IEEE: Copy

MOHAMMAD NAMAZI, and Kamal Mirzaie, “WEB IMAGE SEARCH BASED ON ONTOLOGY-ORIENTED HYBRID MODEL,” presented at the INTERNATIONAL CONFERENCE ON WEB RESEARCH. 2018, [Online]. Available: https://sid.ir/paper/948837/en

Related Journal Papers

No record.

Related Seminar Papers

No record.

Related Plans

No record.

Recommended Workshops