scholarly journals Seeing the Un-Scene: Learning Amodal Semantic Maps for Room Navigation

2020 ◽  
pp. 513-529
Author(s):  
Medhini Narasimhan ◽  
Erik Wijmans ◽  
Xinlei Chen ◽  
Trevor Darrell ◽  
Dhruv Batra ◽  
...  
Keyword(s):  
Semantic Maps

scholarly journals Semantic Mapping for Mobile Robots in Indoor Scenes: A Survey

Information ◽  
2021 ◽  
Vol 12 (2) ◽  
pp. 92
Author(s):  
Xiaoning Han ◽  
Shuailong Li ◽  
Xiaohui Wang ◽  
Weijia Zhou
Keyword(s):  
Mobile Robots ◽  
Semantic Information ◽  
Semantic Mapping ◽  
Human Beings ◽  
Future Directions ◽  
Essential Requirement ◽  
Semantic Map ◽  
Semantic Maps ◽  
Great Progress ◽  
Indoor Scenes

Sensing and mapping its surroundings is an essential requirement for a mobile robot. Geometric maps endow robots with the capacity of basic tasks, e.g., navigation. To co-exist with human beings in indoor scenes, the need to attach semantic information to a geometric map, which is called a semantic map, has been realized in the last two decades. A semantic map can help robots to behave in human rules, plan and perform advanced tasks, and communicate with humans on the conceptual level. This survey reviews methods about semantic mapping in indoor scenes. To begin with, we answered the question, what is a semantic map for mobile robots, by its definitions. After that, we reviewed works about each of the three modules of semantic mapping, i.e., spatial mapping, acquisition of semantic information, and map representation, respectively. Finally, though great progress has been made, there is a long way to implement semantic maps in advanced tasks for robots, thus challenges and potential future directions are discussed before a conclusion at last.

The use of thesauri in online retrieval

1984 ◽  
Vol 8 (2) ◽  
pp. 63-66 ◽  
Author(s):  
C.P.R. Dubois
Keyword(s):  
Information Retrieval ◽  
Data Base ◽  
Case Studies ◽  
Controlled Vocabulary ◽  
Free Text ◽  
Data Bases ◽  
Online Data ◽  
Controlled Vocabularies ◽  
Semantic Maps ◽  
Actual Use

The controlled vocabulary versus the free text approach to information retrieval is reviewed from the mid 1960s to the early 1980s. The dominance of the free text approach following the Cranfield tests is increasingly coming into question as a result of tests on existing online data bases and case studies. This is supported by two case studies on the Coffeeline data base. The differences and values of the two approaches are explored considering thesauri as semantic maps. It is suggested that the most appropriate evaluatory technique for indexing languages is to study the actual use made of various techniques in a wide variety of search environments. Such research is becoming more urgent. Economic and other reasons for the scarcity of online thesauri are reviewed and suggestions are made for methods to secure revenue from thesaurus display facilities. Finally, the promising outlook for renewed develop ment of controlled vocabularies with more effective online display techniques is mentioned, although such development must be based on firm research of user behaviour and needs.

Snapshots for semantic maps

2005 ◽  
Author(s):  
C.W. Nielsen ◽  
B. Ricks ◽  
D. Bruernmer ◽  
D. Few ◽  
M. Walton ◽  
...  
Keyword(s):  
Semantic Maps

Linguistic Composition of Semantic Maps and Hybrid Controllers

2013 ◽  
pp. 699-714
Author(s):  
Neil Dantam ◽  
Carlos Nieto-Granda ◽  
Henrik I. Christensen ◽  
Mike Stilman
Keyword(s):  
Semantic Maps

scholarly journals Semantic Maps of Twitter Conversations

2017 ◽  
pp. 327-338
Author(s):  
Angelo Ciaramella ◽  
Antonio Maratea ◽  
Emanuela Spagnoli
Keyword(s):  
Semantic Maps

scholarly journals EXTENSION OF THE SEMANTICS OF WORDS RELATING TO THE THEMATIC GROUP ‘PLANT WORLD’ (on the Material of the ‘Lexical Atlas of Russian Folk Dialects’)

2020 ◽  
Vol 12 (3) ◽  
pp. 41-48
Author(s):  
Nelli A. Krasovskaya ◽  
Keyword(s):  
Russian Language ◽  
Extended Sense ◽  
Systemic Analysis ◽  
Semantic Maps ◽  
The World ◽  
Secondary Meaning ◽  
The Subject ◽  
Transfer Mechanisms ◽  
The Russian Language

This article discusses the semantics of lexical units included in the thematic group ‘Plant World’. For a person with a traditional worldview, nature is the basis for the formation of a system of views, values, for numerous rethinking. The material for analysis in the article is provided not by a lexicographic source but by a linguo-geographical one. A collection of maps of the recently published first issue of The Plant World of the Lexical Atlas of Russian Folk Dialects allows us to make rather interesting observations. Work with the material of semantic maps makes it possible not only to establish changes in the semantics of lexical units but also to find areas that are associated with the use of a word in one or another secondary meaning. In some cases, there were created duplicate maps devoted solely to the functioning of lexical units in extended sense. Systemic analysis of maps makes it possible to identify patterns in the semantic shifts of lexemes denoting facts and phenomena of the world around as the main meaning. There have been revealed semantic shifts of lexemes from the thematic group ‘Plant World’ to the field of subject, locative and anthropomorphic registers. Such examples of the extensive use of words are not unexpected for the Russian language. It should also be emphasized that the analysis of comments and other materials accompanying maps allows us to establish the features of shifts in semantics. It has been determined that a shift to the subject and locative semantic register is mainly associated with metonymy mechanisms, while a shift to the area of the anthropomorphic semantic register – with the metaphorical transfer mechanisms. The author draws conclusions concerning both the use of map materials for analyzing the extension of semantics and the features of secondary nominations in lexemes belonging to the thematic group ‘Plant World’.

Grounding semantic maps in spatial databases

2018 ◽  
Vol 105 ◽  
pp. 146-165 ◽  
Author(s):  
Henning Deeken ◽  
Thomas Wiemann ◽  
Joachim Hertzberg
Keyword(s):  
Spatial Databases ◽  
Semantic Maps
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