scholarly journals An object-topic map in primate inferotemporal cortex

2019 ◽  
Vol 19 (10) ◽  
pp. 249
Author(s):  
Pinglei Bao ◽  
Liang She ◽  
Doris Y. Tsao
Keyword(s):  
Inferotemporal Cortex ◽  
Topic Map

The Responses of Cell Population in the Inferotemporal Cortex to Object Views with the Experience of Association Learning

2016 ◽  
Vol 136 (9) ◽  
pp. 1254-1260
Author(s):  
Reona Yamaguchi ◽  
Jun-ya Okamura ◽  
Kazunari Honda ◽  
Jin Oshima ◽  
Shintaro Saruwatari ◽  
...  
Keyword(s):  
Cell Population ◽  
Inferotemporal Cortex ◽  
Association Learning

scholarly journals Creating research topic map for NIMS SAMURAI database using natural language processing approach

2021 ◽  
Vol 1 (1) ◽  
pp. 2-11
Author(s):  
Sae Dieb ◽  
Kou Amano ◽  
Kosuke Tanabe ◽  
Daitetsu Sato ◽  
Masashi Ishii ◽  
...  
Keyword(s):  
Natural Language Processing ◽  
Natural Language ◽  
Language Processing ◽  
Research Topic ◽  
Processing Approach ◽  
Topic Map

scholarly journals EXPRESSION AND ORGANIZATION OF GEOGRAPHIC SPATIAL RELATIONS BASED ON TOPIC MAPS

2017 ◽  
Vol XLII-2/W7 ◽  
pp. 1257-1261
Author(s):  
H. J. Liang ◽  
H. Wang ◽  
T. J. Cui ◽  
J. F. Guo
Keyword(s):  
Information Science ◽  
Spatial Database ◽  
Spatial Relation ◽  
Spatial Relations ◽  
Geographical Information ◽  
Knowledge Network ◽  
Effective Management ◽  
Topic Maps ◽  
Complex Knowledge ◽  
Topic Map

Spatial Relation is one of the important components of Geographical Information Science and Spatial Database. There have been lots of researches on Spatial Relation and many different spatial relations have been proposed. The relationships among these spatial relations such as hierarchy and so on are complex and this brings some difficulties to the applications and teaching of these spatial relations. This paper summaries some common spatial relations, extracts the topic types, association types, resource types of these spatial relations using the technology of Topic Maps, and builds many different relationships among these spatial relations. Finally, this paper utilizes Java and Ontopia to build a topic map among these common spatial relations, forms a complex knowledge network of spatial relations, and realizes the effective management and retrieval of spatial relations.

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