Connectivity Inferences over the Web for the Analysis of Semantic Networks

2005 ◽  
pp. 222-234 ◽  
Author(s):  
Roderic Béra ◽  
Christophe Claramunt
Keyword(s):  
Semantic Networks ◽  
The Web

scholarly journals Word from the editors

2015 ◽  
Vol 21 (5) ◽  
pp. 661-664
Author(s):  
ZORNITSA KOZAREVA ◽  
VIVI NASTASE ◽  
RADA MIHALCEA
Keyword(s):  
Artificial Intelligence ◽  
Language Processing ◽  
Semantic Networks ◽  
Human Mind ◽  
Semantic Relations ◽  
Web Pages ◽  
Regular Graphs ◽  
Knowledge Repositories ◽  
Knowledge Stores ◽  
The Web

Graph structures naturally model connections. In natural language processing (NLP) connections are ubiquitous, on anything between small and web scale. We find them between words – as grammatical, collocation or semantic relations – contributing to the overall meaning, and maintaining the cohesive structure of the text and the discourse unity. We find them between concepts in ontologies or other knowledge repositories – since the early ages of artificial intelligence, associative or semantic networks have been proposed and used as knowledge stores, because they naturally capture the language units and relations between them, and allow for a variety of inference and reasoning processes, simulating some of the functionalities of the human mind. We find them between complete texts or web pages, and between entities in a social network, where they model relations at the web scale. Beyond the more often encountered ‘regular’ graphs, hypergraphs have also appeared in our field to model relations between more than two units.

scholarly journals CONCEPTS – LOCATIONS – EMOTIONS: SEMANTIC ANALYSIS AND VISUALIZATION OF CLIMATE CHANGE TEXTS

2021 ◽  
Vol XLIII-B4-2021 ◽  
pp. 31-37
Author(s):  
N. Anastopoulou ◽  
M. Kavouras ◽  
M. Kokla ◽  
E. Tomai
Keyword(s):  
Climate Change ◽  
Social Media ◽  
Semantic Information ◽  
Semantic Analysis ◽  
Semantic Networks ◽  
Visualization Tool ◽  
The Earth ◽  
Environmental Concepts ◽  
The Web ◽  
Search And Retrieval

Abstract. Research on knowledge discovery in the geospatial domain currently focuses on semi-structured, even on unstructured rather than fully structured content. The attention has been put on the plethora of resources on the Web, such as html pages, news articles, blogs, social media etc. Semantic information extraction in geospatial-oriented approaches is further used for semantic analysis, search, and retrieval. The aim of this paper is to extract, analyse and visualize geospatial semantic information and emotions from texts on climate change. A collection of articles on climate change is used to demonstrate the developed approach. These articles describe environmental and socio-economic dimensions of climate change across the Earth, and include a wealth of information related to environmental concepts and geographic locations affected by it. The results are analysed in order to understand which specific human emotions are associated with environmental concepts and/or locations, as well as which environmental terms are linked to locations. For the better understanding of the above-mentioned information, semantic networks are used as a powerful visualization tool of the links among concepts – locations – emotions.

Gifts From the Web: Mentoring

2008 ◽  
Vol 11 (2) ◽  
pp. 83-85
Author(s):  
Howard Wilson
Keyword(s):  
The Web

Gifts from the Web: Service Learning

2005 ◽  
Vol 8 (1) ◽  
pp. 16-18
Author(s):  
Howard F. Wilson
Keyword(s):  
Service Learning ◽  
Web Service ◽  
The Web

Gifts From the Web: Critical Thinking

1999 ◽  
Vol 3 (2) ◽  
pp. 6-6
Author(s):  
Barbara Shadden
Keyword(s):  
Critical Thinking ◽  
The Web
Sign in / Sign up

Export Citation Format

Share Document