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Cybersecurity Knowledge Extraction Using XAI

open access: yesApplied Sciences, 2022
Global networking, growing computer infrastructure complexity and the ongoing migration of many private and business aspects to the electronic domain commonly mandate using cutting-edge technologies based on data analysis, machine learning, and ...
Ana Šarčević   +3 more
doaj   +1 more source

Comprehensive Event Representations using Event Knowledge Graphs and Natural Language Processing [PDF]

open access: yes, 2023
Recent work has utilised knowledge-aware approaches to natural language understanding, question answering, recommendation systems, and other tasks. These approaches rely on well-constructed and large-scale knowledge graphs that can be useful for many downstream applications and empower knowledge-aware models with commonsense reasoning.
arxiv   +1 more source

Open Knowledge Extraction Challenge 2017 [PDF]

open access: yes, 2017
Comunicació presentada al 4th SemWebEval Challenge at ESWC 2017, celebrat entre els dies 28 de maig i 1 de juny de 2017 a Portoroz, Eslovènia. The Open Knowledge Extraction Challenge invites researchers and practitioners from academia as well as industry to compete to the aim of pushing further the state of the art of knowledge extraction from text for
Luis Espinosa-Anke   +5 more
openaire   +5 more sources

Extracting ontological knowledge from Java source code using Hidden Markov Models

open access: yesOpen Computer Science, 2019
Ontologies have become a key element since many decades in information systems such as in epidemiological surveillance domain. Building domain ontologies requires the access to domain knowledge owned by domain experts or contained in knowledge sources ...
Jiomekong Azanzi   +2 more
doaj   +1 more source

Identifying the Regions of a Space with the Self-Parameterized Recursively Assessed Decomposition Algorithm (SPRADA)

open access: yesMachine Learning and Knowledge Extraction, 2023
This paper introduces a non-parametric methodology based on classical unsupervised clustering techniques to automatically identify the main regions of a space, without requiring the objective number of clusters, so as to identify the major regular states
Dylan Molinié   +3 more
doaj   +1 more source

A Combinational Method to Determining Identical Entities from Heterogeneous Knowledge Graphs [PDF]

open access: yesJournal of Information Science Theory and Practice, 2018
With the increasing demand for intelligent services, knowledge graph technologies have attracted much attention. Various application-specific knowledge bases have been developed in industry and academia.
Haklae Kim
doaj   +1 more source

Knowledge Extraction Using Auto Regression Method - A Tourist Information Extraction and Analytics [PDF]

open access: yesEAI Endorsed Transactions on Energy Web, 2021
Data analytics is played a vital role in Information Technology and Information Technology essential services ITeS for making effective decisions.
Arun M, Sumitha T, Maria L, Rejin N R
doaj   +1 more source

Large-Scale Twitter Mining for Extracting the Psychological Impacts of COVID-19

open access: yesInternational Journal of Information and Communication Technology Research, 2022
The outbreak of the COVID-19 in 2020 and lack of an effective cure caused psychological problems among humans. This has been reflected widely on social media.
Hamed Vahdat-Nejad   +8 more
doaj  

Does ANN really acquire the physics of the system? A study using conceptual components from an established water balance model

open access: yesJournal of Hydroinformatics, 2023
Artificial neural networks (ANNs) are labeled as black-box techniques which limit their operational uses in hydrology. Recently, researchers explored techniques that provide insight into the various elements of ANN and their relationship with the ...
Vikas Kumar Vidyarthi, Ashu Jain
doaj   +1 more source

Knowledge-Enhanced Relation Extraction Dataset [PDF]

open access: yesarXiv, 2022
Recently, knowledge-enhanced methods leveraging auxiliary knowledge graphs have emerged in relation extraction, surpassing traditional text-based approaches. However, to our best knowledge, there is currently no public dataset available that encompasses both evidence sentences and knowledge graphs for knowledge-enhanced relation extraction.
arxiv  

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