Semantic Retrieval by Data Similarity of Trademark

October 2016
Vol-2, Issue-6
Paper ID: 3255
ISSN: 2395-4396
Downloads: 0

Abstract & Details

Research Area
Computer Engineering
Keywords
Conceptual similarity Similarity Trademark Infringement Trademark retrieval.
Abstract
Trademarks area unit signs of high reputational price. Thus, they need protection. This paper studies abstract similarities between logos, that happens once two or more logos evoke identical or analogous linguistics content. This paper advances the progressive by proposing a procedure approach supported linguistics that may be wont to compare logos for abstract similarity. A trademark retrieval formula is developed that employs linguistic communication process techniques associate degreed an external information supply within the sort of a lexical metaphysics. The search and compartmentalisation technique developed uses similarity distance that comes mistreatment Tversky’s theory of similarity. The planned retrieval formula is valid mistreatment of resources: a trademark information of 1400 controversial cases and a information of 378943 company names. The accuracy of the formula is calculable mistreatment measures from 2 totally different domains: the R-precision score, that is usually utilized in info retrieval and human judgment/collective human opinion, that is employed in human–machine systems.

Author Information

# Name Institute / Affiliation
1 Miss. Ghogare Shweta B Shri Saibaba Institute of Engineering Research & Allied Sciences, Rahata
2 Miss. Abhang Sonali R. Shri Saibaba Institute of Engineering Research & Allied Sciences, Rahata
3 Miss. Kshirsagar Shweta S. Shri Saibaba Institute of Engineering Research & Allied Sciences, Rahata
4 Miss. Tambe Bhagyashri S. Shri Saibaba Institute of Engineering Research & Allied Sciences, Rahata
5 Prof. Dhokane R. M. Shri Saibaba Institute of Engineering Research & Allied Sciences, Rahata

How to Cite

Use the following formats to cite this article in your research.

APA Style
B, Miss. Ghogare Shweta, R., Miss. Abhang Sonali, S., Miss. Kshirsagar Shweta, S., Miss. Tambe Bhagyashri, & M., Prof. Dhokane R. (2016). Semantic Retrieval by Data Similarity of Trademark. International Journal of Advance Research and Innovative Ideas In Education, 2(6), 163-166.
MLA Style
B, Miss. Ghogare Shweta, et al. "Semantic Retrieval by Data Similarity of Trademark." International Journal of Advance Research and Innovative Ideas In Education, vol. 2, no. 6, 2016, pp. 163-166.
IEEE Style
Miss. Ghogare Shweta B, Miss. Abhang Sonali R., Miss. Kshirsagar Shweta S., Miss. Tambe Bhagyashri S., and Prof. Dhokane R. M., "Semantic Retrieval by Data Similarity of Trademark," International Journal of Advance Research and Innovative Ideas In Education, vol. 2, no. 6, pp. 163-166, 2016.
Vancouver Style
B Miss. Ghogare Shweta, R. Miss. Abhang Sonali, S. Miss. Kshirsagar Shweta, S. Miss. Tambe Bhagyashri, M. Prof. Dhokane R.. Semantic Retrieval by Data Similarity of Trademark. International Journal of Advance Research and Innovative Ideas In Education. 2016;2(6):163-166.
Harvard Style
B, Miss. Ghogare Shweta, R., Miss. Abhang Sonali, S., Miss. Kshirsagar Shweta, S., Miss. Tambe Bhagyashri, & M., Prof. Dhokane R. (2016) 'Semantic Retrieval by Data Similarity of Trademark', International Journal of Advance Research and Innovative Ideas In Education, 2(6), pp. 163-166.
Chicago Style
B, Miss. Ghogare Shweta, et al. "Semantic Retrieval by Data Similarity of Trademark." International Journal of Advance Research and Innovative Ideas In Education 2, no. 6 (2016): 163-166.
Turabian Style
B, Miss. Ghogare Shweta, et al. "Semantic Retrieval by Data Similarity of Trademark." International Journal of Advance Research and Innovative Ideas In Education 2, no. 6 (2016): 163-166.

Export Citation

Related Research

A Deep Learning-Based Framework for Mood-Oriented Music Recommendation Using Facial Expression Analysis
Vaibhav Ashok Bhangare et al. 2026 Computer Engineering
PDF Unavailable
Survey On : Intelligent Payroll and Human Resource Management Systems: A Systematic Review of Automation, Security, and Analytics
Vishakha Jadhav et al. 2026 Human Resource Management, Artificial Intelligence, Machine Learning, Payroll Systems, Cybersecurity, Business Intelligence, Robotic Process Automation, Employee Analytics, Digital Transforma
PDF Unavailable
Civic Engagement & Empowerment Platform
Supriya Dadaso Bankar et al. 2026 Computer engineering
PDF Unavailable
RAG System Development with Pydantic AI ChromaDB & Groq
Prof. Priyanka P. Kakade et al. 2026 Computer Engineering
PDF Unavailable
Machine Learning Based Early Stage Diabetes Detection System
Rohan Mulik et al. 2026 Computer Engineering
PDF Unavailable
A Survey on Skillsense:AI Career Analyzer App
Kirti Datir et al. 2026 Computer Engineering
PDF Unavailable
Employee Performance Portal
P.Harika et al. 2026 Computer science and engineering
PDF Unavailable