MOSSA: a morpho-semantic knowledge extraction system for Arabic information retrieval

2019 ◽  
Vol 6 (2) ◽  
pp. 106
Author(s):  
Nadia Soudani ◽  
Ibrahim Bounhas ◽  
Yahya Slimani
Keyword(s):  
Information Retrieval ◽  
Knowledge Extraction ◽  
Semantic Knowledge ◽  
Extraction System ◽  
Arabic Information Retrieval

Search for Information in Text Files

2020 ◽  
pp. 69-77
Author(s):  
Mouhcine El Hassani ◽  
Noureddine Falih ◽  
Belaid Bouikhalene
Keyword(s):  
Information Retrieval ◽  
Retrieval System ◽  
Knowledge Extraction ◽  
Information Retrieval System ◽  
Extraction System ◽  
Text Documents ◽  
The Subject ◽  
Search For Information ◽  
General Architecture ◽  
The Web

As information becomes increasingly abundant and accessible on the web, researchers do not have a need to go to excavate books in the libraries. These require a knowledge extraction system from the text (KEST). The goal of authors in this chapter is to identify the needs of a person to do a search in a text, which can be unstructured, and retrieve the terms of information related to the subject of research then structure them into classes of useful information. These may subsequently identify the general architecture of an information retrieval system from text documents in order to develop it and finally identify the parameters to evaluate its performance and the results retrieved.

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.

scholarly journals A hybrid semantic query expansion approach for Arabic information retrieval

2020 ◽  
Vol 7 (1) ◽  
Author(s):  
Hiba ALMarwi ◽  
Mossa Ghurab ◽  
Ibrahim Al-Baltah
Keyword(s):  
Information Retrieval ◽  
Query Expansion ◽  
Semantic Query ◽  
Arabic Information Retrieval

scholarly journals Enhanced Arabic Information Retrieval by Using Arabic Slang Language

2019 ◽  
Vol 13 (6) ◽  
pp. 24
Author(s):  
Mustafa Abdel-Kareem Ababneh ◽  
Ghassan Kanaan ◽  
Ayat Amin Al-Jarrah
Keyword(s):  
Information Retrieval ◽  
First Language ◽  
Research System ◽  
System Framework ◽  
Context Free Grammar ◽  
Arabic Information Retrieval ◽  
The Social ◽  
The World ◽  
Context Free ◽  
F Measure

Slang language has become the most used language in the most countries. It has almost become the first language in the social media, websites and daily conversations. Moreover, it has become used in many conferences to clarify information and to deliver the required purpose of them. Therefore, this great spread of slang language over the world. In Jordan indicates that it is important to know meanings of Jordanian slang vocabularies. Mainly, In research system, we created a system framework allows users to restore Arabic information depending on queries that are written in slang language and this framework was made basically by context-free grammar to convert from slang to classical and vice versa. In addition, to conclude with, we will apply it on the colloquial slang in North of Jordan specifically; Irbid, Ajloun, Jerash, Mafraq and AlRamtha city. As well as, we will make a special file for Non_Arabic words and the stop words too. After we made an evaluation for the system relying on the results of recall, precision and F-measure where the results of precision about 0.63 for both researches slang and classical query, and this indicates that the system supports searching in Jordanian slang language. The purpose of this research is to enhance Arabic information retrieval, and it will be a significant resource for researchers who are interested in slang languages. As well as, it helps tie communities together.

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