Local proximity spaces

1967 ◽  
Vol 169 (2) ◽  
pp. 275-281 ◽  
Author(s):  
Solomon Leader
Keyword(s):  
Proximity Spaces ◽  
Local Proximity

scholarly journals Bornological convergences and local proximity spaces

2014 ◽  
Vol 173 ◽  
pp. 294-307 ◽  
Author(s):  
A. Di Concilio ◽  
C. Guadagni
Keyword(s):  
Proximity Spaces ◽  
Local Proximity

scholarly journals Focal Function in i-Topological Spaces via Proximity Spaces

2020 ◽  
Vol 1591 ◽  
pp. 012083
Author(s):  
Yiezi Kadham Mahdi Altalkany ◽  
Luay A. A. Al Swidi
Keyword(s):  
Topological Spaces ◽  
Proximity Spaces

Constructions in the category of fuzzy T-proximity spaces

2007 ◽  
Vol 177 (22) ◽  
pp. 4947-4958 ◽  
Author(s):  
Khaled A. Hashem ◽  
A.E. Radwan
Keyword(s):  
Proximity Spaces

Synonymy Expansion Using Link Prediction Methods: A Case Study of Assamese WordNet

2022 ◽  
Vol 21 (1) ◽  
pp. 1-21
Author(s):  
Bornali Phukon ◽  
Akash Anil ◽  
Sanasam Ranbir Singh ◽  
Priyankoo Sarmah
Keyword(s):  
Network Analysis ◽  
Target Word ◽  
Complex Network ◽  
Link Prediction ◽  
Expansion Method ◽  
Prediction Methods ◽  
Network Embedding ◽  
Per Se ◽  
Local Proximity

WordNets built for low-resource languages, such as Assamese, often use the expansion methodology. This may result in missing lexical entries and missing synonymy relations. As the Assamese WordNet is also built using the expansion method, using the Hindi WordNet, it also has missing synonymy relations. As WordNets can be visualized as a network of unique words connected by synonymy relations, link prediction in complex network analysis is an effective way of predicting missing relations in a network. Hence, to predict the missing synonyms in the Assamese WordNet, link prediction methods were used in the current work that proved effective. It is also observed that for discovering missing relations in the Assamese WordNet, simple local proximity-based methods might be more effective as compared to global and complex supervised models using network embedding. Further, it is noticed that though a set of retrieved words are not synonyms per se, they are semantically related to the target word and may be categorized as semantic cohorts.

On Separation and Proximity Spaces

1964 ◽  
Vol 71 (2) ◽  
pp. 158-161 ◽  
Author(s):  
William J. Pervin
Keyword(s):  
Proximity Spaces

On Separation and Proximity Spaces

1964 ◽  
Vol 71 (2) ◽  
pp. 158 ◽  
Author(s):  
William J. Pervin
Keyword(s):  
Proximity Spaces
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