Knowledge Extraction with NooJ Using a Syntactico-Semantic Approach for the Arabic Utterances Understanding

2018 ◽  
pp. 552-564
Author(s):  
Chahira Lhioui ◽  
Anis Zouaghi ◽  
Mounir Zrigui
Keyword(s):  
Knowledge Extraction ◽  
Semantic Approach

Semantic Approach to Public Health Situation Awareness Design and Methodology

2004 ◽  
Author(s):  
Parsa Mirhaji ◽  
S. Lillibridge ◽  
R. Richesson ◽  
J. Zhang ◽  
J. Smith
Keyword(s):  
Public Health ◽  
Situation Awareness ◽  
Semantic Approach ◽  
Health Situation

Linguistic Data Model for Natural Languages and Artificial Intelligence. Part 5. Introduction to Logic

Discourse ◽  
2020 ◽  
Vol 6 (3) ◽  
pp. 109-117
Author(s):  
O. M. Polyakov
Keyword(s):  
Artificial Intelligence ◽  
Mathematical Logic ◽  
Natural Language ◽  
Semantic Interpretation ◽  
General View ◽  
World Model ◽  
Semantic Approach ◽  
Natural Languages ◽  
The World ◽  
Linguistic Aspect

Introduction. The article continues the series of publications on the linguistics of relations (hereinafter R–linguistics) and is devoted to an introduction to the logic of natural language in relation to the approach considered in the series. The problem of natural language logic still remains relevant, since this logic differs significantly from traditional mathematical logic. Moreover, with the appearance of artificial intelligence systems, the importance of this problem only increases. The article analyzes logical problems that prevent the application of classical logic methods to natural languages. This is possible because R-linguistics forms the semantics of a language in the form of world model structures in which language sentences are interpreted.Methodology and sources. The results obtained in the previous parts of the series are used as research tools. To develop the necessary mathematical representations in the field of logic and semantics, the formulated concept of the interpretation operator is used.Results and discussion. The problems that arise when studying the logic of natural language in the framework of R–linguistics are analyzed. These issues are discussed in three aspects: the logical aspect itself; the linguistic aspect; the aspect of correlation with reality. A very General approach to language semantics is considered and semantic axioms of the language are formulated. The problems of the language and its logic related to the most General view of semantics are shown.Conclusion. It is shown that the application of mathematical logic, regardless of its type, to the study of natural language logic faces significant problems. This is a consequence of the inconsistency of existing approaches with the world model. But it is the coherence with the world model that allows us to build a new logical approach. Matching with the model means a semantic approach to logic. Even the most General view of semantics allows to formulate important results about the properties of languages that lack meaning. The simplest examples of semantic interpretation of traditional logic demonstrate its semantic problems (primarily related to negation).

A Multi-Language System For Knowledge Extraction In E-Learning Videos

2006 ◽  
Vol 3 (1) ◽  
pp. 48-55
Author(s):  
Aparesh Sood ◽  
◽  
Ankush Mittal ◽  
Divya Sarthi ◽  
◽  
...  
Keyword(s):  
Knowledge Extraction ◽  
Language System ◽  
E Learning

Conceptualizing Rhizomatic Thinking in the Arts- A Semantic Approach to Arts Entrepreneurship

2019 ◽  
Vol 22 (3) ◽  
pp. 77-97
Author(s):  
WoongJo Chang ◽  
Shin-Eui Park ◽  
Jeong-Ah Min
Keyword(s):  
Semantic Approach ◽  
The Arts

scholarly journals Wiser: A semantic approach for expert finding in academia based on entity linking

2019 ◽  
Vol 82 ◽  
pp. 1-16 ◽  
Author(s):  
Paolo Cifariello ◽  
Paolo Ferragina ◽  
Marco Ponza
Keyword(s):  
Entity Linking ◽  
Expert Finding ◽  
Semantic Approach

scholarly journals Context-Aware Holographic Communication Based on Semantic Knowledge Extraction

2021 ◽  
Author(s):  
Agata Manolova ◽  
Krasimir Tonchev ◽  
Vladimir Poulkov ◽  
Sudhir Dixir ◽  
Peter Lindgren
Keyword(s):  
Deep Neural Networks ◽  
Data Gathering ◽  
Communication Technologies ◽  
Knowledge Extraction ◽  
Semantic Knowledge ◽  
Business Model Innovation ◽  
Context Aware ◽  
Human Body Model ◽  
Network Resource ◽  
Body Model

AbstractAugmented, mixed and virtual reality are changing the way people interact and communicate. Five dimensional communications and services, integrating information from all human senses are expected to emerge, together with holographic communications (HC), providing a truly immersive experience. HC presents a lot of challenges in terms of data gathering and transmission, demanding Artificial Intelligence empowered communication technologies such as 5G. The goal of the paper is to present a model of a context-aware holographic architecture for real time communication based on semantic knowledge extraction. This architecture will require analyzing, combining and developing methods and algorithms for: 3D human body model acquisition; semantic knowledge extraction with deep neural networks to predict human behaviour; analysis of biometric modalities; context-aware optimization of network resource allocation for the purpose of creating a multi-party, from-capturing-to-rendering HC framework. We illustrate its practical deployment in a scenario that can open new opportunities in user experience and business model innovation.

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