3 citations · 4 across the 3 of their papers we have counts for
5 papers
I-AID: Identifying Actionable Information from Disaster-related Tweets
Hamada M. Zahera, Rricha Jalota, Mohamed A. Sherif +1
Social media plays a significant role in disaster management by providing valuable data about affected people, donations and help requests. Recent studies highlight the need to fil…
Semantic-based End-to-End Learning for Typhoon Intensity Prediction
Hamada M. Zahera, Mohamed Ahmed Sherif, Axel Ngonga
Disaster prediction is one of the most critical tasks towards disaster surveillance and preparedness. Existing technologies employ different machine learning approaches to predict…
Benchmarking Knowledge Graphs on the Web
Michael Röder, Mohamed Ahmed Sherif, Muhammad Saleem +2
The growing interest in making use of Knowledge Graphs for developing explainable artificial intelligence, there is an increasing need for a comparable and repeatable comparison of…
LIDIOMS: A Multilingual Linked Idioms Data Set
Diego Moussallem, Mohamed Ahmed Sherif, Diego Esteves +2
In this paper, we describe the LIDIOMS data set, a multilingual RDF representation of idioms currently containing five languages: English, German, Italian, Portuguese, and Russian.…
Annex: Radon - Rapid Discovery of Topological Relations
Mohamed Ahmed Sherif, Kevin Dreßler, Panayiotis Smeros +1
Datasets containing geo-spatial resources are increasingly being represented according to the Linked Data principles. Several time-efficient approaches for discovering links betwee…