scholarly journals TendeR-Sims - Similarity Retrieval System for Public Tenders

2018 ◽  
Author(s):  
Guilherme Q. Vasconcelos ◽  
Guilherme F. Zabot ◽  
Daniel M. de Lima ◽  
José F. Rodrigues Jr. ◽  
Caetano Traina Jr. ◽  
...  
Keyword(s):  
Retrieval System ◽  
Similarity Retrieval

Semantic Similarity Retrieval System Based on the Chinese Minority Dictionary Wa Volume

2021 ◽  
pp. 312-326
Author(s):  
Xiangdong Meng ◽  
Jun Wang ◽  
Yiping Liufu ◽  
Zhaoxiang OuYang
Keyword(s):  
Semantic Similarity ◽  
Retrieval System ◽  
Similarity Retrieval

Content-Based Retrieval Concept

2011 ◽  
pp. 750-754
Author(s):  
Yung-Kuan Chan ◽  
Chin-Chen Chang
Keyword(s):  
Image Retrieval ◽  
Retrieval System ◽  
Human Beings ◽  
Exact Match ◽  
Content Based Retrieval ◽  
Similarity Retrieval ◽  
Practical Applications ◽  
The Past ◽  
Efficient Management ◽  
Image Retrieval System

Because of the demand for efficient management in images, much attention has been paid to image retrieval over the past few years. The text-based image retrieval system is commonly used in traditional search engines (Ratha et al., 1996), where a query is represented by keywords that are usually identified and classified by human beings. Since people have different understandings on a particular image, the consistency is difficult to maintain. When the database is larger, it is arduous to describe and classify the images because most images are complicated and have many different objects. There has been a trend towards developing the content-based retrieval system, which tries to retrieve images directly and automatically based on their visual contents. A similar image retrieval system extracts the content of the query example q and compares it with that of each database image during querying. The answer to this query may be one or more images that are the most similar ones to q. Similarity retrieval can work effectively when the user fails to express queries in a precise way. In this case, it is no longer necessary to retrieve an image extremely similar to the query example. Hence, similarity retrieval has more practical applications than an exact match does.

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